|
- Collections:
- - Name: Cascade R-CNN
- Metadata:
- Training Data: COCO
- Training Techniques:
- - SGD with Momentum
- - Weight Decay
- Training Resources: 8x V100 GPUs
- Architecture:
- - Cascade R-CNN
- - FPN
- - RPN
- - ResNet
- - RoIAlign
- Paper:
- URL: http://dx.doi.org/10.1109/tpami.2019.2956516
- Title: 'Cascade R-CNN: Delving into High Quality Object Detection'
- README: configs/cascade_rcnn/README.md
- Code:
- URL: https://github.com/open-mmlab/mmdetection/blob/v2.0.0/mmdet/models/detectors/cascade_rcnn.py#L6
- Version: v2.0.0
-
- Models:
- - Name: cascade_rcnn_r50_caffe_fpn_1x_coco
- In Collection: Cascade R-CNN
- Config: configs/cascade_rcnn/cascade_rcnn_r50_caffe_fpn_1x_coco.py
- Metadata:
- Training Memory (GB): 4.2
- Epochs: 12
- Results:
- - Task: Object Detection
- Dataset: COCO
- Metrics:
- box AP: 40.4
- Weights: https://download.openmmlab.com/mmdetection/v2.0/cascade_rcnn/cascade_rcnn_r50_caffe_fpn_1x_coco/cascade_rcnn_r50_caffe_fpn_1x_coco_bbox_mAP-0.404_20200504_174853-b857be87.pth
-
- - Name: cascade_rcnn_r50_fpn_1x_coco
- In Collection: Cascade R-CNN
- Config: configs/cascade_rcnn/cascade_rcnn_r50_fpn_1x_coco.py
- Metadata:
- Training Memory (GB): 4.4
- inference time (ms/im):
- - value: 62.11
- hardware: V100
- backend: PyTorch
- batch size: 1
- mode: FP32
- resolution: (800, 1333)
- Epochs: 12
- Results:
- - Task: Object Detection
- Dataset: COCO
- Metrics:
- box AP: 40.3
- Weights: https://download.openmmlab.com/mmdetection/v2.0/cascade_rcnn/cascade_rcnn_r50_fpn_1x_coco/cascade_rcnn_r50_fpn_1x_coco_20200316-3dc56deb.pth
-
- - Name: cascade_rcnn_r50_fpn_20e_coco
- In Collection: Cascade R-CNN
- Config: configs/cascade_rcnn/cascade_rcnn_r50_fpn_20e_coco.py
- Metadata:
- Training Memory (GB): 4.4
- inference time (ms/im):
- - value: 62.11
- hardware: V100
- backend: PyTorch
- batch size: 1
- mode: FP32
- resolution: (800, 1333)
- Epochs: 20
- Results:
- - Task: Object Detection
- Dataset: COCO
- Metrics:
- box AP: 41.0
- Weights: https://download.openmmlab.com/mmdetection/v2.0/cascade_rcnn/cascade_rcnn_r50_fpn_20e_coco/cascade_rcnn_r50_fpn_20e_coco_bbox_mAP-0.41_20200504_175131-e9872a90.pth
-
- - Name: cascade_rcnn_r101_caffe_fpn_1x_coco
- In Collection: Cascade R-CNN
- Config: configs/cascade_rcnn/cascade_rcnn_r101_caffe_fpn_1x_coco.py
- Metadata:
- Training Memory (GB): 6.2
- Epochs: 12
- Results:
- - Task: Object Detection
- Dataset: COCO
- Metrics:
- box AP: 42.3
- Weights: https://download.openmmlab.com/mmdetection/v2.0/cascade_rcnn/cascade_rcnn_r101_caffe_fpn_1x_coco/cascade_rcnn_r101_caffe_fpn_1x_coco_bbox_mAP-0.423_20200504_175649-cab8dbd5.pth
-
- - Name: cascade_rcnn_r101_fpn_1x_coco
- In Collection: Cascade R-CNN
- Config: configs/cascade_rcnn/cascade_rcnn_r101_fpn_1x_coco.py
- Metadata:
- Training Memory (GB): 6.4
- inference time (ms/im):
- - value: 74.07
- hardware: V100
- backend: PyTorch
- batch size: 1
- mode: FP32
- resolution: (800, 1333)
- Epochs: 12
- Results:
- - Task: Object Detection
- Dataset: COCO
- Metrics:
- box AP: 42.0
- Weights: https://download.openmmlab.com/mmdetection/v2.0/cascade_rcnn/cascade_rcnn_r101_fpn_1x_coco/cascade_rcnn_r101_fpn_1x_coco_20200317-0b6a2fbf.pth
-
- - Name: cascade_rcnn_r101_fpn_20e_coco
- In Collection: Cascade R-CNN
- Config: configs/cascade_rcnn/cascade_rcnn_r101_fpn_20e_coco.py
- Metadata:
- Training Memory (GB): 6.4
- inference time (ms/im):
- - value: 74.07
- hardware: V100
- backend: PyTorch
- batch size: 1
- mode: FP32
- resolution: (800, 1333)
- Epochs: 20
- Results:
- - Task: Object Detection
- Dataset: COCO
- Metrics:
- box AP: 42.5
- Weights: https://download.openmmlab.com/mmdetection/v2.0/cascade_rcnn/cascade_rcnn_r101_fpn_20e_coco/cascade_rcnn_r101_fpn_20e_coco_bbox_mAP-0.425_20200504_231812-5057dcc5.pth
-
- - Name: cascade_rcnn_x101_32x4d_fpn_1x_coco
- In Collection: Cascade R-CNN
- Config: configs/cascade_rcnn/cascade_rcnn_x101_32x4d_fpn_1x_coco.py
- Metadata:
- Training Memory (GB): 7.6
- inference time (ms/im):
- - value: 91.74
- hardware: V100
- backend: PyTorch
- batch size: 1
- mode: FP32
- resolution: (800, 1333)
- Epochs: 12
- Results:
- - Task: Object Detection
- Dataset: COCO
- Metrics:
- box AP: 43.7
- Weights: https://download.openmmlab.com/mmdetection/v2.0/cascade_rcnn/cascade_rcnn_x101_32x4d_fpn_1x_coco/cascade_rcnn_x101_32x4d_fpn_1x_coco_20200316-95c2deb6.pth
-
- - Name: cascade_rcnn_x101_32x4d_fpn_20e_coco
- In Collection: Cascade R-CNN
- Config: configs/cascade_rcnn/cascade_rcnn_x101_32x4d_fpn_20e_coco.py
- Metadata:
- Training Memory (GB): 7.6
- Epochs: 20
- Results:
- - Task: Object Detection
- Dataset: COCO
- Metrics:
- box AP: 43.7
- Weights: https://download.openmmlab.com/mmdetection/v2.0/cascade_rcnn/cascade_rcnn_x101_32x4d_fpn_20e_coco/cascade_rcnn_x101_32x4d_fpn_20e_coco_20200906_134608-9ae0a720.pth
-
- - Name: cascade_rcnn_x101_64x4d_fpn_1x_coco
- In Collection: Cascade R-CNN
- Config: configs/cascade_rcnn/cascade_rcnn_x101_64x4d_fpn_1x_coco.py
- Metadata:
- Training Memory (GB): 10.7
- Epochs: 12
- Results:
- - Task: Object Detection
- Dataset: COCO
- Metrics:
- box AP: 44.7
- Weights: https://download.openmmlab.com/mmdetection/v2.0/cascade_rcnn/cascade_rcnn_x101_64x4d_fpn_1x_coco/cascade_rcnn_x101_64x4d_fpn_1x_coco_20200515_075702-43ce6a30.pth
-
- - Name: cascade_rcnn_x101_64x4d_fpn_20e_coco
- In Collection: Cascade R-CNN
- Config: configs/cascade_rcnn/cascade_rcnn_x101_64x4d_fpn_20e_coco.py
- Metadata:
- Training Memory (GB): 10.7
- Epochs: 20
- Results:
- - Task: Object Detection
- Dataset: COCO
- Metrics:
- box AP: 44.5
- Weights: https://download.openmmlab.com/mmdetection/v2.0/cascade_rcnn/cascade_rcnn_x101_64x4d_fpn_20e_coco/cascade_rcnn_x101_64x4d_fpn_20e_coco_20200509_224357-051557b1.pth
-
- - Name: cascade_mask_rcnn_r50_caffe_fpn_1x_coco
- In Collection: Cascade R-CNN
- Config: configs/cascade_rcnn/cascade_mask_rcnn_r50_caffe_fpn_1x_coco.py
- Metadata:
- Training Memory (GB): 5.9
- Epochs: 12
- Results:
- - Task: Object Detection
- Dataset: COCO
- Metrics:
- box AP: 41.2
- - Task: Instance Segmentation
- Dataset: COCO
- Metrics:
- mask AP: 36.0
- Weights: https://download.openmmlab.com/mmdetection/v2.0/cascade_rcnn/cascade_mask_rcnn_r50_caffe_fpn_1x_coco/cascade_mask_rcnn_r50_caffe_fpn_1x_coco_bbox_mAP-0.412__segm_mAP-0.36_20200504_174659-5004b251.pth
-
- - Name: cascade_mask_rcnn_r50_fpn_1x_coco
- In Collection: Cascade R-CNN
- Config: configs/cascade_rcnn/cascade_mask_rcnn_r50_fpn_1x_coco.py
- Metadata:
- Training Memory (GB): 6.0
- inference time (ms/im):
- - value: 89.29
- hardware: V100
- backend: PyTorch
- batch size: 1
- mode: FP32
- resolution: (800, 1333)
- Epochs: 12
- Results:
- - Task: Object Detection
- Dataset: COCO
- Metrics:
- box AP: 41.2
- - Task: Instance Segmentation
- Dataset: COCO
- Metrics:
- mask AP: 35.9
- Weights: https://download.openmmlab.com/mmdetection/v2.0/cascade_rcnn/cascade_mask_rcnn_r50_fpn_1x_coco/cascade_mask_rcnn_r50_fpn_1x_coco_20200203-9d4dcb24.pth
-
- - Name: cascade_mask_rcnn_r50_fpn_20e_coco
- In Collection: Cascade R-CNN
- Config: configs/cascade_rcnn/cascade_mask_rcnn_r50_fpn_20e_coco.py
- Metadata:
- Training Memory (GB): 6.0
- inference time (ms/im):
- - value: 89.29
- hardware: V100
- backend: PyTorch
- batch size: 1
- mode: FP32
- resolution: (800, 1333)
- Epochs: 20
- Results:
- - Task: Object Detection
- Dataset: COCO
- Metrics:
- box AP: 41.9
- - Task: Instance Segmentation
- Dataset: COCO
- Metrics:
- mask AP: 36.5
- Weights: https://download.openmmlab.com/mmdetection/v2.0/cascade_rcnn/cascade_mask_rcnn_r50_fpn_20e_coco/cascade_mask_rcnn_r50_fpn_20e_coco_bbox_mAP-0.419__segm_mAP-0.365_20200504_174711-4af8e66e.pth
-
- - Name: cascade_mask_rcnn_r101_caffe_fpn_1x_coco
- In Collection: Cascade R-CNN
- Config: configs/cascade_rcnn/cascade_mask_rcnn_r101_caffe_fpn_1x_coco.py
- Metadata:
- Training Memory (GB): 7.8
- Epochs: 12
- Results:
- - Task: Object Detection
- Dataset: COCO
- Metrics:
- box AP: 43.2
- - Task: Instance Segmentation
- Dataset: COCO
- Metrics:
- mask AP: 37.6
- Weights: https://download.openmmlab.com/mmdetection/v2.0/cascade_rcnn/cascade_mask_rcnn_r101_caffe_fpn_1x_coco/cascade_mask_rcnn_r101_caffe_fpn_1x_coco_bbox_mAP-0.432__segm_mAP-0.376_20200504_174813-5c1e9599.pth
-
- - Name: cascade_mask_rcnn_r101_fpn_1x_coco
- In Collection: Cascade R-CNN
- Config: configs/cascade_rcnn/cascade_mask_rcnn_r101_fpn_1x_coco.py
- Metadata:
- Training Memory (GB): 7.9
- inference time (ms/im):
- - value: 102.04
- hardware: V100
- backend: PyTorch
- batch size: 1
- mode: FP32
- resolution: (800, 1333)
- Epochs: 12
- Results:
- - Task: Object Detection
- Dataset: COCO
- Metrics:
- box AP: 42.9
- - Task: Instance Segmentation
- Dataset: COCO
- Metrics:
- mask AP: 37.3
- Weights: https://download.openmmlab.com/mmdetection/v2.0/cascade_rcnn/cascade_mask_rcnn_r101_fpn_1x_coco/cascade_mask_rcnn_r101_fpn_1x_coco_20200203-befdf6ee.pth
-
- - Name: cascade_mask_rcnn_r101_fpn_20e_coco
- In Collection: Cascade R-CNN
- Config: configs/cascade_rcnn/cascade_mask_rcnn_r101_fpn_20e_coco.py
- Metadata:
- Training Memory (GB): 7.9
- inference time (ms/im):
- - value: 102.04
- hardware: V100
- backend: PyTorch
- batch size: 1
- mode: FP32
- resolution: (800, 1333)
- Epochs: 20
- Results:
- - Task: Object Detection
- Dataset: COCO
- Metrics:
- box AP: 43.4
- - Task: Instance Segmentation
- Dataset: COCO
- Metrics:
- mask AP: 37.8
- Weights: https://download.openmmlab.com/mmdetection/v2.0/cascade_rcnn/cascade_mask_rcnn_r101_fpn_20e_coco/cascade_mask_rcnn_r101_fpn_20e_coco_bbox_mAP-0.434__segm_mAP-0.378_20200504_174836-005947da.pth
-
- - Name: cascade_mask_rcnn_x101_32x4d_fpn_1x_coco
- In Collection: Cascade R-CNN
- Config: configs/cascade_rcnn/cascade_mask_rcnn_x101_32x4d_fpn_1x_coco.py
- Metadata:
- Training Memory (GB): 9.2
- inference time (ms/im):
- - value: 116.28
- hardware: V100
- backend: PyTorch
- batch size: 1
- mode: FP32
- resolution: (800, 1333)
- Epochs: 12
- Results:
- - Task: Object Detection
- Dataset: COCO
- Metrics:
- box AP: 44.3
- - Task: Instance Segmentation
- Dataset: COCO
- Metrics:
- mask AP: 38.3
- Weights: https://download.openmmlab.com/mmdetection/v2.0/cascade_rcnn/cascade_mask_rcnn_x101_32x4d_fpn_1x_coco/cascade_mask_rcnn_x101_32x4d_fpn_1x_coco_20200201-0f411b1f.pth
-
- - Name: cascade_mask_rcnn_x101_32x4d_fpn_20e_coco
- In Collection: Cascade R-CNN
- Config: configs/cascade_rcnn/cascade_mask_rcnn_x101_32x4d_fpn_20e_coco.py
- Metadata:
- Training Memory (GB): 9.2
- inference time (ms/im):
- - value: 116.28
- hardware: V100
- backend: PyTorch
- batch size: 1
- mode: FP32
- resolution: (800, 1333)
- Epochs: 20
- Results:
- - Task: Object Detection
- Dataset: COCO
- Metrics:
- box AP: 45.0
- - Task: Instance Segmentation
- Dataset: COCO
- Metrics:
- mask AP: 39.0
- Weights: https://download.openmmlab.com/mmdetection/v2.0/cascade_rcnn/cascade_mask_rcnn_x101_32x4d_fpn_20e_coco/cascade_mask_rcnn_x101_32x4d_fpn_20e_coco_20200528_083917-ed1f4751.pth
-
- - Name: cascade_mask_rcnn_x101_64x4d_fpn_1x_coco
- In Collection: Cascade R-CNN
- Config: configs/cascade_rcnn/cascade_mask_rcnn_x101_64x4d_fpn_1x_coco.py
- Metadata:
- Training Memory (GB): 12.2
- inference time (ms/im):
- - value: 149.25
- hardware: V100
- backend: PyTorch
- batch size: 1
- mode: FP32
- resolution: (800, 1333)
- Epochs: 12
- Results:
- - Task: Object Detection
- Dataset: COCO
- Metrics:
- box AP: 45.3
- - Task: Instance Segmentation
- Dataset: COCO
- Metrics:
- mask AP: 39.2
- Weights: https://download.openmmlab.com/mmdetection/v2.0/cascade_rcnn/cascade_mask_rcnn_x101_64x4d_fpn_1x_coco/cascade_mask_rcnn_x101_64x4d_fpn_1x_coco_20200203-9a2db89d.pth
-
- - Name: cascade_mask_rcnn_x101_64x4d_fpn_20e_coco
- In Collection: Cascade R-CNN
- Config: configs/cascade_rcnn/cascade_mask_rcnn_x101_64x4d_fpn_20e_coco.py
- Metadata:
- Training Memory (GB): 12.2
- Epochs: 20
- Results:
- - Task: Object Detection
- Dataset: COCO
- Metrics:
- box AP: 45.6
- - Task: Instance Segmentation
- Dataset: COCO
- Metrics:
- mask AP: 39.5
- Weights: https://download.openmmlab.com/mmdetection/v2.0/cascade_rcnn/cascade_mask_rcnn_x101_64x4d_fpn_20e_coco/cascade_mask_rcnn_x101_64x4d_fpn_20e_coco_20200512_161033-bdb5126a.pth
-
- - Name: cascade_mask_rcnn_r50_caffe_fpn_mstrain_3x_coco
- In Collection: Cascade R-CNN
- Config: configs/cascade_rcnn/cascade_mask_rcnn_r50_caffe_fpn_mstrain_3x_coco.py
- Metadata:
- Training Memory (GB): 5.7
- Epochs: 36
- Results:
- - Task: Object Detection
- Dataset: COCO
- Metrics:
- box AP: 44.0
- - Task: Instance Segmentation
- Dataset: COCO
- Metrics:
- mask AP: 38.1
- Weights: https://download.openmmlab.com/mmdetection/v2.0/cascade_rcnn/cascade_mask_rcnn_r50_caffe_fpn_mstrain_3x_coco/cascade_mask_rcnn_r50_caffe_fpn_mstrain_3x_coco_20210707_002651-6e29b3a6.pth
-
- - Name: cascade_mask_rcnn_r50_fpn_mstrain_3x_coco
- In Collection: Cascade R-CNN
- Config: configs/cascade_rcnn/cascade_mask_rcnn_r50_fpn_mstrain_3x_coco.py
- Metadata:
- Training Memory (GB): 5.9
- Epochs: 36
- Results:
- - Task: Object Detection
- Dataset: COCO
- Metrics:
- box AP: 44.3
- - Task: Instance Segmentation
- Dataset: COCO
- Metrics:
- mask AP: 38.5
- Weights: https://download.openmmlab.com/mmdetection/v2.0/cascade_rcnn/cascade_mask_rcnn_r50_fpn_mstrain_3x_coco/cascade_mask_rcnn_r50_fpn_mstrain_3x_coco_20210628_164719-5bdc3824.pth
-
- - Name: cascade_mask_rcnn_r101_caffe_fpn_mstrain_3x_coco
- In Collection: Cascade R-CNN
- Config: configs/cascade_rcnn/cascade_mask_rcnn_r101_caffe_fpn_mstrain_3x_coco.py
- Metadata:
- Training Memory (GB): 7.7
- Epochs: 36
- Results:
- - Task: Object Detection
- Dataset: COCO
- Metrics:
- box AP: 45.4
- - Task: Instance Segmentation
- Dataset: COCO
- Metrics:
- mask AP: 39.5
- Weights: https://download.openmmlab.com/mmdetection/v2.0/cascade_rcnn/cascade_mask_rcnn_r101_caffe_fpn_mstrain_3x_coco/cascade_mask_rcnn_r101_caffe_fpn_mstrain_3x_coco_20210707_002620-a5bd2389.pth
-
- - Name: cascade_mask_rcnn_r101_fpn_mstrain_3x_coco
- In Collection: Cascade R-CNN
- Config: configs/cascade_rcnn/cascade_mask_rcnn_r101_fpn_mstrain_3x_coco.py
- Metadata:
- Training Memory (GB): 7.8
- Epochs: 36
- Results:
- - Task: Object Detection
- Dataset: COCO
- Metrics:
- box AP: 45.5
- - Task: Instance Segmentation
- Dataset: COCO
- Metrics:
- mask AP: 39.6
- Weights: https://download.openmmlab.com/mmdetection/v2.0/cascade_rcnn/cascade_mask_rcnn_r101_fpn_mstrain_3x_coco/cascade_mask_rcnn_r101_fpn_mstrain_3x_coco_20210628_165236-51a2d363.pth
-
- - Name: cascade_mask_rcnn_x101_32x4d_fpn_mstrain_3x_coco
- In Collection: Cascade R-CNN
- Config: configs/cascade_rcnn/cascade_mask_rcnn_x101_32x4d_fpn_mstrain_3x_coco.py
- Metadata:
- Training Memory (GB): 9.0
- Epochs: 36
- Results:
- - Task: Object Detection
- Dataset: COCO
- Metrics:
- box AP: 46.3
- - Task: Instance Segmentation
- Dataset: COCO
- Metrics:
- mask AP: 40.1
- Weights: https://download.openmmlab.com/mmdetection/v2.0/cascade_rcnn/cascade_mask_rcnn_x101_32x4d_fpn_mstrain_3x_coco/cascade_mask_rcnn_x101_32x4d_fpn_mstrain_3x_coco_20210706_225234-40773067.pth
-
- - Name: cascade_mask_rcnn_x101_32x8d_fpn_mstrain_3x_coco
- In Collection: Cascade R-CNN
- Config: configs/cascade_rcnn/cascade_mask_rcnn_x101_32x8d_fpn_mstrain_3x_coco.py
- Metadata:
- Training Memory (GB): 12.1
- Epochs: 36
- Results:
- - Task: Object Detection
- Dataset: COCO
- Metrics:
- box AP: 46.1
- - Task: Instance Segmentation
- Dataset: COCO
- Metrics:
- mask AP: 39.9
- Weights: https://download.openmmlab.com/mmdetection/v2.0/cascade_rcnn/cascade_mask_rcnn_x101_32x8d_fpn_mstrain_3x_coco/cascade_mask_rcnn_x101_32x8d_fpn_mstrain_3x_coco_20210719_180640-9ff7e76f.pth
-
- - Name: cascade_mask_rcnn_x101_64x4d_fpn_mstrain_3x_coco
- In Collection: Cascade R-CNN
- Config: configs/cascade_rcnn/cascade_mask_rcnn_x101_64x4d_fpn_mstrain_3x_coco.py
- Metadata:
- Training Memory (GB): 12.0
- Epochs: 36
- Results:
- - Task: Object Detection
- Dataset: COCO
- Metrics:
- box AP: 46.6
- - Task: Instance Segmentation
- Dataset: COCO
- Metrics:
- mask AP: 40.3
- Weights: https://download.openmmlab.com/mmdetection/v2.0/cascade_rcnn/cascade_mask_rcnn_x101_64x4d_fpn_mstrain_3x_coco/cascade_mask_rcnn_x101_64x4d_fpn_mstrain_3x_coco_20210719_210311-d3e64ba0.pth
|