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- Collections:
- - Name: Seesaw Loss
- Metadata:
- Training Data: LVIS
- Training Techniques:
- - SGD with Momentum
- - Weight Decay
- Training Resources: 8x V100 GPUs
- Architecture:
- - Softmax
- - RPN
- - Convolution
- - Dense Connections
- - FPN
- - ResNet
- - RoIAlign
- - Seesaw Loss
- Paper:
- URL: https://arxiv.org/abs/2008.10032
- Title: 'Seesaw Loss for Long-Tailed Instance Segmentation'
- README: configs/seesaw_loss/README.md
- Models:
- - Name: mask-rcnn_r50_fpn_random_seesaw_loss_mstrain_2x_lvis_v1
- In Collection: Seesaw Loss
- Config: configs/seesaw_loss/mask-rcnn_r50_fpn_seesaw-loss_random-ms-2x_lvis-v1.py
- Metadata:
- Epochs: 24
- Results:
- - Task: Object Detection
- Dataset: LVIS v1
- Metrics:
- box AP: 25.6
- - Task: Instance Segmentation
- Dataset: LVIS v1
- Metrics:
- mask AP: 25.0
- Weights: https://download.openmmlab.com/mmdetection/v2.0/seesaw_loss/mask_rcnn_r50_fpn_random_seesaw_loss_mstrain_2x_lvis_v1-a698dd3d.pth
- - Name: mask-rcnn_r50_fpn_random_seesaw_loss_normed_mask_mstrain_2x_lvis_v1
- In Collection: Seesaw Loss
- Config: configs/seesaw_loss/mask-rcnn_r50_fpn_seesaw-loss-normed-mask_random-ms-2x_lvis-v1.py
- Metadata:
- Epochs: 24
- Results:
- - Task: Object Detection
- Dataset: LVIS v1
- Metrics:
- box AP: 25.6
- - Task: Instance Segmentation
- Dataset: LVIS v1
- Metrics:
- mask AP: 25.4
- Weights: https://download.openmmlab.com/mmdetection/v2.0/seesaw_loss/mask_rcnn_r50_fpn_random_seesaw_loss_normed_mask_mstrain_2x_lvis_v1-a1c11314.pth
- - Name: mask-rcnn_r101_fpn_seesaw-loss_random-ms-2x_lvis-v1
- In Collection: Seesaw Loss
- Config: configs/seesaw_loss/mask-rcnn_r101_fpn_seesaw-loss_random-ms-2x_lvis-v1.py
- Metadata:
- Epochs: 24
- Results:
- - Task: Object Detection
- Dataset: LVIS v1
- Metrics:
- box AP: 27.4
- - Task: Instance Segmentation
- Dataset: LVIS v1
- Metrics:
- mask AP: 26.7
- Weights: https://download.openmmlab.com/mmdetection/v2.0/seesaw_loss/mask_rcnn_r101_fpn_random_seesaw_loss_mstrain_2x_lvis_v1-8e6e6dd5.pth
- - Name: mask-rcnn_r101_fpn_seesaw-loss-normed-mask_random-ms-2x_lvis-v1
- In Collection: Seesaw Loss
- Config: configs/seesaw_loss/mask-rcnn_r101_fpn_seesaw-loss-normed-mask_random-ms-2x_lvis-v1.py
- Metadata:
- Epochs: 24
- Results:
- - Task: Object Detection
- Dataset: LVIS v1
- Metrics:
- box AP: 27.2
- - Task: Instance Segmentation
- Dataset: LVIS v1
- Metrics:
- mask AP: 27.3
- Weights: https://download.openmmlab.com/mmdetection/v2.0/seesaw_loss/mask_rcnn_r101_fpn_random_seesaw_loss_normed_mask_mstrain_2x_lvis_v1-a0b59c42.pth
- - Name: mask-rcnn_r50_fpn_sample1e-3_seesaw_loss_mstrain_2x_lvis_v1
- In Collection: Seesaw Loss
- Config: configs/seesaw_loss/mask-rcnn_r50_fpn_seesaw-loss_sample1e-3-ms-2x_lvis-v1.py
- Metadata:
- Epochs: 24
- Results:
- - Task: Object Detection
- Dataset: LVIS v1
- Metrics:
- box AP: 27.6
- - Task: Instance Segmentation
- Dataset: LVIS v1
- Metrics:
- mask AP: 26.4
- Weights: https://download.openmmlab.com/mmdetection/v2.0/seesaw_loss/mask_rcnn_r50_fpn_sample1e-3_seesaw_loss_mstrain_2x_lvis_v1-392a804b.pth
- - Name: mask-rcnn_r50_fpn_sample1e-3_seesaw_loss_normed_mask_mstrain_2x_lvis_v1
- In Collection: Seesaw Loss
- Config: configs/seesaw_loss/mask-rcnn_r50_fpn_seesaw-loss-normed-mask_sample1e-3-ms-2x_lvis-v1.py
- Metadata:
- Epochs: 24
- Results:
- - Task: Object Detection
- Dataset: LVIS v1
- Metrics:
- box AP: 27.6
- - Task: Instance Segmentation
- Dataset: LVIS v1
- Metrics:
- mask AP: 26.8
- Weights: https://download.openmmlab.com/mmdetection/v2.0/seesaw_loss/mask_rcnn_r50_fpn_sample1e-3_seesaw_loss_normed_mask_mstrain_2x_lvis_v1-cd0f6a12.pth
- - Name: mask-rcnn_r101_fpn_seesaw-loss_sample1e-3-ms-2x_lvis-v1
- In Collection: Seesaw Loss
- Config: configs/seesaw_loss/mask-rcnn_r101_fpn_seesaw-loss_sample1e-3-ms-2x_lvis-v1.py
- Metadata:
- Epochs: 24
- Results:
- - Task: Object Detection
- Dataset: LVIS v1
- Metrics:
- box AP: 28.9
- - Task: Instance Segmentation
- Dataset: LVIS v1
- Metrics:
- mask AP: 27.6
- Weights: https://download.openmmlab.com/mmdetection/v2.0/seesaw_loss/mask_rcnn_r101_fpn_sample1e-3_seesaw_loss_mstrain_2x_lvis_v1-e68eb464.pth
- - Name: mask-rcnn_r101_fpn_seesaw-loss-normed-mask_sample1e-3-ms-2x_lvis-v1
- In Collection: Seesaw Loss
- Config: configs/seesaw_loss/mask-rcnn_r101_fpn_seesaw-loss-normed-mask_sample1e-3-ms-2x_lvis-v1.py
- Metadata:
- Epochs: 24
- Results:
- - Task: Object Detection
- Dataset: LVIS v1
- Metrics:
- box AP: 28.9
- - Task: Instance Segmentation
- Dataset: LVIS v1
- Metrics:
- mask AP: 28.2
- Weights: https://download.openmmlab.com/mmdetection/v2.0/seesaw_loss/mask_rcnn_r101_fpn_sample1e-3_seesaw_loss_normed_mask_mstrain_2x_lvis_v1-1d817139.pth
- - Name: cascade-mask-rcnn_r101_fpn_seesaw-loss_random-ms-2x_lvis-v1
- In Collection: Seesaw Loss
- Config: configs/seesaw_loss/cascade-mask-rcnn_r101_fpn_seesaw-loss_random-ms-2x_lvis-v1.py
- Metadata:
- Epochs: 24
- Results:
- - Task: Object Detection
- Dataset: LVIS v1
- Metrics:
- box AP: 33.1
- - Task: Instance Segmentation
- Dataset: LVIS v1
- Metrics:
- mask AP: 29.2
- Weights: https://download.openmmlab.com/mmdetection/v2.0/seesaw_loss/cascade_mask_rcnn_r101_fpn_random_seesaw_loss_mstrain_2x_lvis_v1-71e2215e.pth
- - Name: cascade-mask-rcnn_r101_fpn_seesaw-loss-normed-mask_random-ms-2x_lvis-v1
- In Collection: Seesaw Loss
- Config: configs/seesaw_loss/cascade-mask-rcnn_r101_fpn_seesaw-loss-normed-mask_random-ms-2x_lvis-v1.py
- Metadata:
- Epochs: 24
- Results:
- - Task: Object Detection
- Dataset: LVIS v1
- Metrics:
- box AP: 33.0
- - Task: Instance Segmentation
- Dataset: LVIS v1
- Metrics:
- mask AP: 30.0
- Weights: https://download.openmmlab.com/mmdetection/v2.0/seesaw_loss/cascade_mask_rcnn_r101_fpn_random_seesaw_loss_normed_mask_mstrain_2x_lvis_v1-8b5a6745.pth
- - Name: cascade-mask-rcnn_r101_fpn_seesaw-loss_sample1e-3-ms-2x_lvis-v1
- In Collection: Seesaw Loss
- Config: configs/seesaw_loss/cascade-mask-rcnn_r101_fpn_seesaw-loss_sample1e-3-ms-2x_lvis-v1.py
- Metadata:
- Epochs: 24
- Results:
- - Task: Object Detection
- Dataset: LVIS v1
- Metrics:
- box AP: 30.0
- - Task: Instance Segmentation
- Dataset: LVIS v1
- Metrics:
- mask AP: 29.3
- Weights: https://download.openmmlab.com/mmdetection/v2.0/seesaw_loss/cascade_mask_rcnn_r101_fpn_sample1e-3_seesaw_loss_mstrain_2x_lvis_v1-5d8ca2a4.pth
- - Name: cascade-mask-rcnn_r101_fpn_seesaw-loss-normed-mask_sample1e-3-ms-2x_lvis-v1
- In Collection: Seesaw Loss
- Config: configs/seesaw_loss/cascade-mask-rcnn_r101_fpn_seesaw-loss-normed-mask_sample1e-3-ms-2x_lvis-v1.py
- Metadata:
- Epochs: 24
- Results:
- - Task: Object Detection
- Dataset: LVIS v1
- Metrics:
- box AP: 32.8
- - Task: Instance Segmentation
- Dataset: LVIS v1
- Metrics:
- mask AP: 30.1
- Weights: https://download.openmmlab.com/mmdetection/v2.0/seesaw_loss/cascade_mask_rcnn_r101_fpn_sample1e-3_seesaw_loss_normed_mask_mstrain_2x_lvis_v1-c8551505.pth
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