[Algorithm] Update Stable KLD (NeurIPS'21)

configs/_base_/datasets/hrsc.py

@@ -40,7 +40,7 @@
     val=dict(
         type=dataset_type,
         classwise=False,
-        ann_file=data_root + 'ImageSets/trainval.txt',
+        ann_file=data_root + 'ImageSets/test.txt',
         ann_subdir=data_root + 'FullDataSet/Annotations/',
         img_subdir=data_root + 'FullDataSet/AllImages/',
         pipeline=test_pipeline),

configs/_base_/schedules/schedule_6x.py

@@ -0,0 +1,14 @@
+# evaluation
+evaluation = dict(interval=36, metric='mAP')
+# optimizer
+optimizer = dict(type='SGD', lr=0.0025, momentum=0.9, weight_decay=0.0001)
+optimizer_config = dict(grad_clip=dict(max_norm=35, norm_type=2))
+# learning policy
+lr_config = dict(
+    policy='step',
+    warmup='linear',
+    warmup_iters=500,
+    warmup_ratio=1.0 / 3,
+    step=[48, 66])
+runner = dict(type='EpochBasedRunner', max_epochs=72)
+checkpoint_config = dict(interval=36)

configs/kld/README.md

@@ -18,18 +18,32 @@ DOTA1.0
 |:------------:|:----------:|:-----------:|:---------:|:---------:|:---------:|:---------:|:---------:|:---------:|:-------------:|
 | ResNet50 (1024,1024,200) | 64.55 | oc | 1x | 3.38 | 15.7 | - | 2 | [rotated_retinanet_hbb_r50_fpn_1x_dota_oc](../rotated_retinanet/rotated_retinanet_hbb_r50_fpn_1x_dota_oc.py) |  [model](https://download.openmmlab.com/mmrotate/v0.1.0/rotated_retinanet/rotated_retinanet_hbb_r50_fpn_1x_dota_oc/rotated_retinanet_hbb_r50_fpn_1x_dota_oc-e8a7c7df.pth) | [log](https://download.openmmlab.com/mmrotate/v0.1.0/rotated_retinanet/rotated_retinanet_hbb_r50_fpn_1x_dota_oc/rotated_retinanet_hbb_r50_fpn_1x_dota_oc_20220121_095315.log.json)
 | ResNet50 (1024,1024,200) | 69.94 | oc | 1x | 3.39 | 15.6 | - | 2 | [rotated_retinanet_hbb_kld_r50_fpn_1x_dota_oc](./rotated_retinanet_hbb_kld_r50_fpn_1x_dota_oc.py) |  [model](https://download.openmmlab.com/mmrotate/v0.1.0/kld/rotated_retinanet_hbb_kld_r50_fpn_1x_dota_oc/rotated_retinanet_hbb_kld_r50_fpn_1x_dota_oc-49c1f937.pth) | [log](https://download.openmmlab.com/mmrotate/v0.1.0/kld/rotated_retinanet_hbb_kld_r50_fpn_1x_dota_oc/rotated_retinanet_hbb_kld_r50_fpn_1x_dota_oc_20220125_201832.log.json)
+| ResNet50 (1024,1024,200) | 69.86 | oc | 1x | 3.35 | 15.8 | - | 2 | [rotated_retinanet_hbb_kld_stable_r50_fpn_1x_dota_oc](./rotated_retinanet_hbb_kld_stable_r50_fpn_1x_dota_oc.py) | [model](https://download.openmmlab.com/mmrotate/v0.1.0/kld/rotated_retinanet_hbb_kld_stable_r50_fpn_1x_dota_oc/rotated_retinanet_hbb_kld_stable_r50_fpn_1x_dota_oc-92a76443.pth) | [log](https://download.openmmlab.com/mmrotate/v0.1.0/kld/rotated_retinanet_hbb_kld_stable_r50_fpn_1x_dota_oc/rotated_retinanet_hbb_kld_stable_r50_fpn_1x_dota_oc_20220403_120631.log.json)
+| ResNet50 (1024,1024,200) | 68.42 | le90 | 1x | 3.38 | 16.9 | - | 2 | [rotated_retinanet_obb_r50_fpn_1x_dota_le90](../rotated_retinanet/rotated_retinanet_obb_r50_fpn_1x_dota_le90.py) |  [model](https://download.openmmlab.com/mmrotate/v0.1.0/rotated_retinanet/rotated_retinanet_obb_r50_fpn_1x_dota_le90/rotated_retinanet_obb_r50_fpn_1x_dota_le90-c0097bc4.pth) | [log](https://download.openmmlab.com/mmrotate/v0.1.0/rotated_retinanet/rotated_retinanet_obb_r50_fpn_1x_dota_le90/rotated_retinanet_obb_r50_fpn_1x_dota_le90_20220128_130740.log.json)
+| ResNet50 (1024,1024,200) | 70.22 | le90 | 1x | 3.35 | 16.9 | - | 2 | [rotated_retinanet_obb_kld_stable_r50_fpn_1x_dota_le90](./rotated_retinanet_obb_kld_stable_r50_fpn_1x_dota_le90.py) | [model](https://download.openmmlab.com/mmrotate/v0.1.0/kld/rotated_retinanet_obb_kld_stable_r50_fpn_1x_dota_le90/rotated_retinanet_obb_kld_stable_r50_fpn_1x_dota_le90-31193e00.pth) | [log](https://download.openmmlab.com/mmrotate/v0.1.0/kld/rotated_retinanet_obb_kld_stable_r50_fpn_1x_dota_le90/rotated_retinanet_obb_kld_stable_r50_fpn_1x_dota_le90_20220402_225531.log.json)
 
 |    Backbone   |    mAP   | Angle | lr schd | Mem (GB) | Inf Time (fps) | Aug | Batch Size | Configs | Download |
 |:------------:|:----------:|:-----------:|:---------:|:---------:|:---------:|:---------:|:---------:|:---------:|:-------------:|
 | ResNet50 (1024,1024,200) | 69.80 | oc | 1x | 3.54 | 12.4 | - | 2 | [r3det_r50_fpn_1x_dota_oc](../r3det/r3det_r50_fpn_1x_dota_oc.py) | [model](https://download.openmmlab.com/mmrotate/v0.1.0/r3det/r3det_r50_fpn_1x_dota_oc/r3det_r50_fpn_1x_dota_oc-b1fb045c.pth) | [log](https://download.openmmlab.com/mmrotate/v0.1.0/r3det/r3det_r50_fpn_1x_dota_oc/r3det_r50_fpn_1x_dota_oc_20220126_191226.log.json)
 | ResNet50 (1024,1024,200) | 71.83 | oc | 1x | 3.54 | 12.4 | - | 2 | [r3det_kld_r50_fpn_1x_dota_oc](./r3det_kld_r50_fpn_1x_dota_oc.py) |  [model](https://download.openmmlab.com/mmrotate/v0.1.0/kld/r3det_kld_r50_fpn_1x_dota_oc/r3det_kld_r50_fpn_1x_dota_oc-31866226.pth) | [log](https://download.openmmlab.com/mmrotate/v0.1.0/kld/r3det_kld_r50_fpn_1x_dota_oc/r3det_kld_r50_fpn_1x_dota_oc_20220210_114049.log.json)
+| ResNet50 (1024,1024,200) | 72.12 | oc | 1x | 3.81 | 13.5 | - | 2 | [r3det_kld_stable_r50_fpn_1x_dota_oc](./r3det_kld_stable_r50_fpn_1x_dota_oc.py) | [model](https://download.openmmlab.com/mmrotate/v0.1.0/kld/r3det_kld_stable_r50_fpn_1x_dota_oc/r3det_kld_stable_r50_fpn_1x_dota_oc-e011059d.pth) | [log](https://download.openmmlab.com/mmrotate/v0.1.0/kld/r3det_kld_stable_r50_fpn_1x_dota_oc/r3det_kld_stable_r50_fpn_1x_dota_oc_20220402_225905.log.json)
 
 
 |    Backbone   |    mAP   | Angle | lr schd | Mem (GB) | Inf Time (fps) | Aug | Batch Size | Configs | Download |
 |:------------:|:----------:|:-----------:|:---------:|:---------:|:---------:|:---------:|:---------:|:---------:|:-------------:|
 | ResNet50 (1024,1024,200) | 70.18 | oc | 1x | 3.23 | 15.6 | - | 2 | [r3det_tiny_r50_fpn_1x_dota_oc](../r3det/r3det_tiny_r50_fpn_1x_dota_oc.py) | [model](https://download.openmmlab.com/mmrotate/v0.1.0/r3det/r3det_tiny_r50_fpn_1x_dota_oc/r3det_tiny_r50_fpn_1x_dota_oc-c98a616c.pth) | [log](https://download.openmmlab.com/mmrotate/v0.1.0/r3det/r3det_tiny_r50_fpn_1x_dota_oc/r3det_tiny_r50_fpn_1x_dota_oc_20220209_171624.log.json)
 | ResNet50 (1024,1024,200) | 72.76 | oc | 1x | 3.44 | 14.0 | - | 2 | [r3det_tiny_kld_r50_fpn_1x_dota_oc](./r3det_tiny_kld_r50_fpn_1x_dota_oc.py) | [model](https://download.openmmlab.com/mmrotate/v0.1.0/kld/r3det_tiny_kld_r50_fpn_1x_dota_oc/r3det_tiny_kld_r50_fpn_1x_dota_oc-589e142a.pth) | [log](https://download.openmmlab.com/mmrotate/v0.1.0/kld/r3det_tiny_kld_r50_fpn_1x_dota_oc/r3det_tiny_kld_r50_fpn_1x_dota_oc_20220209_172917.log.json)
 
+HRSC
+
+|       Backbone        |  mAP | AP50 | AP75  | Angle | lr schd | Mem (GB) | Inf Time (fps) | Aug | Batch Size |                                            Configs                                            | Download |
+|:---------------------:|:-----:|:-----:|:-----:|:-----------:|:-------:|:---------:|:---------:|:---------:|:---------:|:---------------------------------------------------------------------------------------------:|:-------------:|
+|  ResNet50 (800,512)   | 52.06 | 84.80 | 58.10 |   le90   | 6x | 1.56 | 38.2 | RR | 2 | [rotated_retinanet_obb_r50_fpn_6x_hrsc_rr_le90](../rotated_retinanet/rotated_retinanet_obb_r50_fpn_6x_hrsc_rr_le90.py) | [model](https://download.openmmlab.com/mmrotate/v0.1.0/rotated_retinanet/rotated_retinanet_obb_r50_fpn_6x_hrsc_rr_le90/rotated_retinanet_obb_r50_fpn_6x_hrsc_rr_le90-ee4f18af.pth) | [log](https://download.openmmlab.com/mmrotate/v0.1.0/rotated_retinanet/rotated_retinanet_obb_r50_fpn_6x_hrsc_rr_le90/rotated_retinanet_obb_r50_fpn_6x_hrsc_rr_le90_20220412_110739.log.json)
+|  ResNet50 (800,512)   | 54.15 | 86.20 | 60.60 |   le90   | 6x | 1.56 | 38.2 | RR | 2 | [rotated_retinanet_obb_kld_stable_r50_fpn_6x_hrsc_rr_le90](./rotated_retinanet_obb_kld_stable_r50_fpn_6x_hrsc_rr_le90.py) | [model](https://download.openmmlab.com/mmrotate/v0.1.0/kld/rotated_retinanet_obb_kld_stable_r50_fpn_6x_hrsc_rr_le90/rotated_retinanet_obb_kld_stable_r50_fpn_6x_hrsc_rr_le90-58665364.pth) | [log](https://download.openmmlab.com/mmrotate/v0.1.0/kld/rotated_retinanet_obb_kld_stable_r50_fpn_6x_hrsc_rr_le90/rotated_retinanet_obb_kld_stable_r50_fpn_6x_hrsc_rr_le90_20220412_155521.log.json)
+|  ResNet50 (800,512)   | 45.09 | 79.30 | 46.90 |    oc    | 6x | 1.56 | 39.2 | RR | 2 | [rotated_retinanet_hbb_r50_fpn_6x_hrsc_rr_oc](../rotated_retinanet/rotated_retinanet_hbb_r50_fpn_6x_hrsc_rr_oc.py) | [model](https://download.openmmlab.com/mmrotate/v0.1.0/rotated_retinanet/rotated_retinanet_hbb_r50_fpn_6x_hrsc_rr_oc/rotated_retinanet_hbb_r50_fpn_6x_hrsc_rr_oc-f37eada6.pth) | [log](https://download.openmmlab.com/mmrotate/v0.1.0/rotated_retinanet/rotated_retinanet_hbb_r50_fpn_6x_hrsc_rr_oc/rotated_retinanet_hbb_r50_fpn_6x_hrsc_rr_oc_20220412_103639.log.json)
+|  ResNet50 (800,512)   | 58.17 | 87.00 | 69.30 |    oc    | 6x | 1.56 | 39.5 | RR | 2 | [rotated_retinanet_hbb_kld_stable_r50_fpn_6x_hrsc_rr_oc](./rotated_retinanet_hbb_kld_stable_r50_fpn_6x_hrsc_rr_oc.py) | [model](https://download.openmmlab.com/mmrotate/v0.1.0/kld/rotated_retinanet_hbb_kld_stable_r50_fpn_6x_hrsc_rr_oc/rotated_retinanet_hbb_kld_stable_r50_fpn_6x_hrsc_rr_oc-9a4ac8e2.pth) | [log](https://download.openmmlab.com/mmrotate/v0.1.0/kld/rotated_retinanet_hbb_kld_stable_r50_fpn_6x_hrsc_rr_oc/rotated_retinanet_hbb_kld_stable_r50_fpn_6x_hrsc_rr_oc_20220413_162440.log.json)
+
+
 ## Citation
 ```
 @inproceedings{yang2021learning,

configs/kld/metafile.yml

@@ -26,6 +26,30 @@ Models:
           mAP: 69.94
     Weights: https://download.openmmlab.com/mmrotate/v0.1.0/kld/rotated_retinanet_hbb_kld_r50_fpn_1x_dota_oc/rotated_retinanet_hbb_kld_r50_fpn_1x_dota_oc-49c1f937.pth
 
+  - Name: rotated_retinanet_hbb_kld_stable_r50_fpn_1x_dota_oc
+    In Collection: kld
+    Config: configs/kld/rotated_retinanet_hbb_kld_stable_r50_fpn_1x_dota_oc.py
+    Metadata:
+      Training Data: DOTAv1.0
+    Results:
+      - Task: Oriented Object Detection
+        Dataset: DOTAv1.0
+        Metrics:
+          mAP: 69.86
+    Weights: https://download.openmmlab.com/mmrotate/v0.1.0/kld/rotated_retinanet_hbb_kld_stable_r50_fpn_1x_dota_oc/rotated_retinanet_hbb_kld_stable_r50_fpn_1x_dota_oc-92a76443.pth
+
+  - Name: rotated_retinanet_obb_kld_stable_r50_fpn_1x_dota_le90
+    In Collection: kld
+    Config: configs/kld/rotated_retinanet_obb_kld_stable_r50_fpn_1x_dota_le90.py
+    Metadata:
+      Training Data: DOTAv1.0
+    Results:
+      - Task: Oriented Object Detection
+        Dataset: DOTAv1.0
+        Metrics:
+          mAP: 70.22
+    Weights: https://download.openmmlab.com/mmrotate/v0.1.0/kld/rotated_retinanet_obb_kld_stable_r50_fpn_1x_dota_le90/rotated_retinanet_obb_kld_stable_r50_fpn_1x_dota_le90-31193e00.pth
+
   - Name: r3det_kld_r50_fpn_1x_dota_oc
     In Collection: kld
     Config: configs/kld/r3det_kld_r50_fpn_1x_dota_oc.py
@@ -38,6 +62,18 @@ Models:
           mAP: 71.83
     Weights: https://download.openmmlab.com/mmrotate/v0.1.0/kld/r3det_kld_r50_fpn_1x_dota_oc/r3det_kld_r50_fpn_1x_dota_oc-31866226.pth
 
+  - Name: r3det_kld_stable_r50_fpn_1x_dota_oc
+    In Collection: kld
+    Config: configs/kld/r3det_kld_stable_r50_fpn_1x_dota_oc.py
+    Metadata:
+      Training Data: DOTAv1.0
+    Results:
+      - Task: Oriented Object Detection
+        Dataset: DOTAv1.0
+        Metrics:
+          mAP: 72.12
+    Weights: https://download.openmmlab.com/mmrotate/v0.1.0/kld/r3det_kld_stable_r50_fpn_1x_dota_oc/r3det_kld_stable_r50_fpn_1x_dota_oc-e011059d.pth
+
   - Name: r3det_tiny_kld_r50_fpn_1x_dota_oc
     In Collection: kld
     Config: configs/kld/r3det_tiny_kld_r50_fpn_1x_dota_oc.py
@@ -49,3 +85,27 @@ Models:
         Metrics:
           mAP: 72.76
     Weights: https://download.openmmlab.com/mmrotate/v0.1.0/kld/r3det_tiny_kld_r50_fpn_1x_dota_oc/r3det_tiny_kld_r50_fpn_1x_dota_oc-589e142a.pth
+
+  - Name: rotated_retinanet_hbb_kld_stable_r50_fpn_6x_hrsc_rr_oc
+    In Collection: kld
+    Config: configs/kld/rotated_retinanet_hbb_kld_stable_r50_fpn_6x_hrsc_rr_oc.py
+    Metadata:
+      Training Data: HRSC2016
+    Results:
+      - Task: Oriented Object Detection
+        Dataset: HRSC2016
+        Metrics:
+          mAP: 58.17/87.00/69.30
+    Weights: https://download.openmmlab.com/mmrotate/v0.1.0/kld/rotated_retinanet_hbb_kld_stable_r50_fpn_6x_hrsc_rr_oc/rotated_retinanet_hbb_kld_stable_r50_fpn_6x_hrsc_rr_oc-9a4ac8e2.pth
+
+  - Name: rotated_retinanet_obb_kld_stable_r50_fpn_6x_hrsc_rr_le90
+    In Collection: kld
+    Config: configs/kld/rotated_retinanet_obb_kld_stable_r50_fpn_6x_hrsc_rr_le90.py
+    Metadata:
+      Training Data: HRSC2016
+    Results:
+      - Task: Oriented Object Detection
+        Dataset: HRSC2016
+        Metrics:
+          mAP: 54.15/86.20/60.60
+    Weights: https://download.openmmlab.com/mmrotate/v0.1.0/kld/rotated_retinanet_obb_kld_stable_r50_fpn_6x_hrsc_rr_le90/rotated_retinanet_obb_kld_stable_r50_fpn_6x_hrsc_rr_le90-58665364.pth

configs/kld/r3det_kld_stable_r50_fpn_1x_dota_oc.py

@@ -0,0 +1,47 @@
+_base_ = ['../r3det/r3det_r50_fpn_1x_dota_oc.py']
+
+angle_version = 'oc'
+model = dict(
+    bbox_head=dict(
+        reg_decoded_bbox=True,
+        loss_bbox=dict(
+            _delete_=True,
+            type='GDLoss',
+            loss_type='kld',
+            fun='log1p',
+            tau=1.0,
+            sqrt=False,
+            loss_weight=5.0)),
+    refine_heads=[
+        dict(
+            type='RotatedRetinaRefineHead',
+            num_classes=15,
+            in_channels=256,
+            stacked_convs=4,
+            feat_channels=256,
+            assign_by_circumhbbox=None,
+            anchor_generator=dict(
+                type='PseudoAnchorGenerator', strides=[8, 16, 32, 64, 128]),
+            bbox_coder=dict(
+                type='DeltaXYWHAOBBoxCoder',
+                angle_range=angle_version,
+                norm_factor=None,
+                edge_swap=False,
+                proj_xy=False,
+                target_means=(0.0, 0.0, 0.0, 0.0, 0.0),
+                target_stds=(1.0, 1.0, 1.0, 1.0, 1.0)),
+            loss_cls=dict(
+                type='FocalLoss',
+                use_sigmoid=True,
+                gamma=2.0,
+                alpha=0.25,
+                loss_weight=1.0),
+            reg_decoded_bbox=True,
+            loss_bbox=dict(
+                type='GDLoss',
+                loss_type='kld',
+                fun='log1p',
+                tau=1.0,
+                sqrt=False,
+                loss_weight=5.0))
+    ])

configs/kld/rotated_retinanet_hbb_kld_stable_r50_fpn_1x_dota_oc.py

@@ -0,0 +1,32 @@
+_base_ = ['../rotated_retinanet/rotated_retinanet_hbb_r50_fpn_1x_dota_oc.py']
+
+angle_version = 'oc'
+model = dict(
+    bbox_head=dict(
+        reg_decoded_bbox=True,
+        loss_bbox=dict(
+            _delete_=True,
+            type='GDLoss',
+            loss_type='kld',
+            fun='log1p',
+            tau=1,
+            sqrt=False,
+            loss_weight=5.5)))
+
+img_norm_cfg = dict(
+    mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True)
+train_pipeline = [
+    dict(type='LoadImageFromFile'),
+    dict(type='LoadAnnotations', with_bbox=True),
+    dict(type='RResize', img_scale=(1024, 1024)),
+    dict(
+        type='RRandomFlip',
+        flip_ratio=[0.25, 0.25, 0.25],
+        direction=['horizontal', 'vertical', 'diagonal'],
+        version=angle_version),
+    dict(type='Normalize', **img_norm_cfg),
+    dict(type='Pad', size_divisor=32),
+    dict(type='DefaultFormatBundle'),
+    dict(type='Collect', keys=['img', 'gt_bboxes', 'gt_labels'])
+]
+data = dict(train=dict(pipeline=train_pipeline))

configs/kld/rotated_retinanet_hbb_kld_stable_r50_fpn_6x_hrsc_rr_oc.py

@@ -0,0 +1,15 @@
+_base_ = [
+    '../rotated_retinanet/rotated_retinanet_hbb_r50_fpn_6x_hrsc_rr_oc.py'
+]
+
+model = dict(
+    bbox_head=dict(
+        reg_decoded_bbox=True,
+        loss_bbox=dict(
+            _delete_=True,
+            type='GDLoss',
+            loss_type='kld',
+            fun='log1p',
+            tau=1,
+            sqrt=False,
+            loss_weight=5.5)))

configs/kld/rotated_retinanet_obb_kld_stable_r50_fpn_1x_dota_le90.py

@@ -0,0 +1,13 @@
+_base_ = ['../rotated_retinanet/rotated_retinanet_obb_r50_fpn_1x_dota_le90.py']
+
+model = dict(
+    bbox_head=dict(
+        reg_decoded_bbox=True,
+        loss_bbox=dict(
+            _delete_=True,
+            type='GDLoss',
+            loss_type='kld',
+            fun='log1p',
+            tau=1,
+            sqrt=False,
+            loss_weight=5.5)))

configs/kld/rotated_retinanet_obb_kld_stable_r50_fpn_6x_hrsc_rr_le90.py

@@ -0,0 +1,15 @@
+_base_ = [
+    '../rotated_retinanet/rotated_retinanet_obb_r50_fpn_6x_hrsc_rr_le90.py'
+]
+
+model = dict(
+    bbox_head=dict(
+        reg_decoded_bbox=True,
+        loss_bbox=dict(
+            _delete_=True,
+            type='GDLoss',
+            loss_type='kld',
+            fun='log1p',
+            tau=1,
+            sqrt=False,
+            loss_weight=1.0)))

configs/rotated_retinanet/README.md

@@ -24,9 +24,10 @@ DOTA1.0
 
 HRSC
 
-|       Backbone        |  mAP  | Angle | lr schd | Mem (GB) | Inf Time (fps) | Aug | Batch Size |                                            Configs                                            | Download |
-|:---------------------:|:-----:|:-----------:|:-------:|:---------:|:---------:|:---------:|:---------:|:---------------------------------------------------------------------------------------------:|:-------------:|
-|  ResNet50 (800,800)   | 72.62 | le90 |   3x    |  |  | - | 2 | [rotated_retinanet_obb_r50_fpn_3x_hrsc_le90](./rotated_retinanet_obb_r50_fpn_3x_hrsc_le90.py) |
+|       Backbone        |  mAP | AP50 | AP75  | Angle | lr schd | Mem (GB) | Inf Time (fps) | Aug | Batch Size |                                            Configs                                            | Download |
+|:---------------------:|:-----:|:-----:|:-----:|:-----------:|:-------:|:---------:|:---------:|:---------:|:---------:|:---------------------------------------------------------------------------------------------:|:-------------:|
+|  ResNet50 (800,512)   | 45.09 | 79.30 | 46.90 |   oc   | 6x | 1.56 | 39.2 | RR | 2 | [rotated_retinanet_hbb_r50_fpn_6x_hrsc_rr_oc](./rotated_retinanet_hbb_r50_fpn_6x_hrsc_rr_oc.py) | [model](https://download.openmmlab.com/mmrotate/v0.1.0/rotated_retinanet/rotated_retinanet_hbb_r50_fpn_6x_hrsc_rr_oc/rotated_retinanet_hbb_r50_fpn_6x_hrsc_rr_oc-f37eada6.pth) | [log](https://download.openmmlab.com/mmrotate/v0.1.0/rotated_retinanet/rotated_retinanet_hbb_r50_fpn_6x_hrsc_rr_oc/rotated_retinanet_hbb_r50_fpn_6x_hrsc_rr_oc_20220412_103639.log.json)
+|  ResNet50 (800,512)   | 52.06 | 84.80 | 58.10 |   le90   | 6x | 1.56 | 38.2 | RR | 2 | [rotated_retinanet_obb_r50_fpn_6x_hrsc_rr_le90](./rotated_retinanet_obb_r50_fpn_6x_hrsc_rr_le90.py) | [model](https://download.openmmlab.com/mmrotate/v0.1.0/rotated_retinanet/rotated_retinanet_obb_r50_fpn_6x_hrsc_rr_le90/rotated_retinanet_obb_r50_fpn_6x_hrsc_rr_le90-ee4f18af.pth) | [log](https://download.openmmlab.com/mmrotate/v0.1.0/rotated_retinanet/rotated_retinanet_obb_r50_fpn_6x_hrsc_rr_le90/rotated_retinanet_obb_r50_fpn_6x_hrsc_rr_le90_20220412_110739.log.json)
 
 Notes:
 - `MS` means multiple scale image split.

configs/rotated_retinanet/metafile.yml

@@ -61,3 +61,27 @@ Models:
         Metrics:
           mAP: 76.50
     Weights: https://download.openmmlab.com/mmrotate/v0.1.0/rotated_retinanet/rotated_retinanet_obb_r50_fpn_1x_dota_ms_rr_le90/rotated_retinanet_obb_r50_fpn_1x_dota_ms_rr_le90-1da1ec9c.pth
+
+  - Name: rotated_retinanet_hbb_r50_fpn_6x_hrsc_rr_oc
+    In Collection: rotated_retinanet
+    Config: configs/rotated_retinanet/rotated_retinanet_hbb_r50_fpn_6x_hrsc_rr_oc.py
+    Metadata:
+      Training Data: HRSC2016
+    Results:
+      - Task: Oriented Object Detection
+        Dataset: HRSC2016
+        Metrics:
+          mAP: 45.09/79.30/46.90
+    Weights: https://download.openmmlab.com/mmrotate/v0.1.0/rotated_retinanet/rotated_retinanet_hbb_r50_fpn_6x_hrsc_rr_oc/rotated_retinanet_hbb_r50_fpn_6x_hrsc_rr_oc-f37eada6.pth
+
+  - Name: rotated_retinanet_obb_r50_fpn_6x_hrsc_rr_le90
+    In Collection: rotated_retinanet
+    Config: configs/rotated_retinanet/rotated_retinanet_obb_r50_fpn_6x_hrsc_rr_le90.py
+    Metadata:
+      Training Data: HRSC2016
+    Results:
+      - Task: Oriented Object Detection
+        Dataset: HRSC2016
+        Metrics:
+          mAP: 52.06/84.80/58.10
+    Weights: https://download.openmmlab.com/mmrotate/v0.1.0/rotated_retinanet/rotated_retinanet_obb_r50_fpn_6x_hrsc_rr_le90/rotated_retinanet_obb_r50_fpn_6x_hrsc_rr_le90-ee4f18af.pth