204 lines
7.6 KiB
YAML
204 lines
7.6 KiB
YAML
Collections:
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- Name: Seesaw Loss
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Metadata:
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Training Data: LVIS
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Training Techniques:
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- SGD with Momentum
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- Weight Decay
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Training Resources: 8x V100 GPUs
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Architecture:
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- Softmax
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- RPN
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- Convolution
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- Dense Connections
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- FPN
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- ResNet
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- RoIAlign
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- Seesaw Loss
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Paper:
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URL: https://arxiv.org/abs/2008.10032
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Title: 'Seesaw Loss for Long-Tailed Instance Segmentation'
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README: configs/seesaw_loss/README.md
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Models:
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- Name: mask_rcnn_r50_fpn_random_seesaw_loss_mstrain_2x_lvis_v1
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In Collection: Seesaw Loss
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Config: seesaw_loss/mask_rcnn_r50_fpn_random_seesaw_loss_mstrain_2x_lvis_v1.py
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Metadata:
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Epochs: 24
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Results:
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- Task: Object Detection
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Dataset: LVIS v1
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Metrics:
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box AP: 25.6
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- Task: Instance Segmentation
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Dataset: LVIS v1
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Metrics:
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mask AP: 25.0
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Weights: https://download.openmmlab.com/mmdetection/v2.0/seesaw_loss/mask_rcnn_r50_fpn_random_seesaw_loss_mstrain_2x_lvis_v1-a698dd3d.pth
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- Name: mask_rcnn_r50_fpn_random_seesaw_loss_normed_mask_mstrain_2x_lvis_v1
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In Collection: Seesaw Loss
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Config: seesaw_loss/mask_rcnn_r50_fpn_random_seesaw_loss_normed_mask_mstrain_2x_lvis_v1.py
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Metadata:
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Epochs: 24
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Results:
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- Task: Object Detection
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Dataset: LVIS v1
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Metrics:
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box AP: 25.6
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- Task: Instance Segmentation
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Dataset: LVIS v1
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Metrics:
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mask AP: 25.4
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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
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- Name: mask_rcnn_r101_fpn_random_seesaw_loss_mstrain_2x_lvis_v1
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In Collection: Seesaw Loss
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Config: seesaw_loss/mask_rcnn_r101_fpn_random_seesaw_loss_mstrain_2x_lvis_v1.py
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Metadata:
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Epochs: 24
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Results:
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- Task: Object Detection
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Dataset: LVIS v1
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Metrics:
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box AP: 27.4
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- Task: Instance Segmentation
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Dataset: LVIS v1
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Metrics:
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mask AP: 26.7
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Weights: https://download.openmmlab.com/mmdetection/v2.0/seesaw_loss/mask_rcnn_r101_fpn_random_seesaw_loss_mstrain_2x_lvis_v1-8e6e6dd5.pth
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- Name: mask_rcnn_r101_fpn_random_seesaw_loss_normed_mask_mstrain_2x_lvis_v1
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In Collection: Seesaw Loss
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Config: seesaw_loss/mask_rcnn_r101_fpn_random_seesaw_loss_normed_mask_mstrain_2x_lvis_v1.py
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Metadata:
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Epochs: 24
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Results:
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- Task: Object Detection
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Dataset: LVIS v1
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Metrics:
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box AP: 27.2
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- Task: Instance Segmentation
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Dataset: LVIS v1
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Metrics:
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mask AP: 27.3
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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
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- Name: mask_rcnn_r50_fpn_sample1e-3_seesaw_loss_mstrain_2x_lvis_v1
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In Collection: Seesaw Loss
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Config: configs/seesaw_loss/mask_rcnn_r50_fpn_sample1e-3_seesaw_loss_mstrain_2x_lvis_v1.py
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Metadata:
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Epochs: 24
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Results:
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- Task: Object Detection
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Dataset: LVIS v1
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Metrics:
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box AP: 27.6
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- Task: Instance Segmentation
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Dataset: LVIS v1
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Metrics:
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mask AP: 26.4
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Weights: https://download.openmmlab.com/mmdetection/v2.0/seesaw_loss/mask_rcnn_r50_fpn_sample1e-3_seesaw_loss_mstrain_2x_lvis_v1-392a804b.pth
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- Name: mask_rcnn_r50_fpn_sample1e-3_seesaw_loss_normed_mask_mstrain_2x_lvis_v1
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In Collection: Seesaw Loss
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Config: configs/seesaw_loss/mask_rcnn_r50_fpn_sample1e-3_seesaw_loss_normed_mask_mstrain_2x_lvis_v1.py
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Metadata:
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Epochs: 24
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Results:
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- Task: Object Detection
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Dataset: LVIS v1
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Metrics:
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box AP: 27.6
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- Task: Instance Segmentation
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Dataset: LVIS v1
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Metrics:
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mask AP: 26.8
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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
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- Name: mask_rcnn_r101_fpn_sample1e-3_seesaw_loss_mstrain_2x_lvis_v1
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In Collection: Seesaw Loss
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Config: configs/seesaw_loss/mask_rcnn_r101_fpn_sample1e-3_seesaw_loss_mstrain_2x_lvis_v1.py
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Metadata:
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Epochs: 24
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Results:
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- Task: Object Detection
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Dataset: LVIS v1
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Metrics:
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box AP: 28.9
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- Task: Instance Segmentation
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Dataset: LVIS v1
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Metrics:
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mask AP: 27.6
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Weights: https://download.openmmlab.com/mmdetection/v2.0/seesaw_loss/mask_rcnn_r101_fpn_sample1e-3_seesaw_loss_mstrain_2x_lvis_v1-e68eb464.pth
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- Name: mask_rcnn_r101_fpn_sample1e-3_seesaw_loss_normed_mask_mstrain_2x_lvis_v1
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In Collection: Seesaw Loss
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Config: configs/seesaw_loss/mask_rcnn_r101_fpn_sample1e-3_seesaw_loss_normed_mask_mstrain_2x_lvis_v1.py
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Metadata:
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Epochs: 24
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Results:
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- Task: Object Detection
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Dataset: LVIS v1
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Metrics:
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box AP: 28.9
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- Task: Instance Segmentation
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Dataset: LVIS v1
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Metrics:
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mask AP: 28.2
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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
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- Name: cascade_mask_rcnn_r101_fpn_random_seesaw_loss_mstrain_2x_lvis_v1
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In Collection: Seesaw Loss
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Config: configs/seesaw_loss/cascade_mask_rcnn_r101_fpn_random_seesaw_loss_mstrain_2x_lvis_v1.py
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Metadata:
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Epochs: 24
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Results:
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- Task: Object Detection
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Dataset: LVIS v1
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Metrics:
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box AP: 33.1
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- Task: Instance Segmentation
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Dataset: LVIS v1
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Metrics:
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mask AP: 29.2
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Weights: https://download.openmmlab.com/mmdetection/v2.0/seesaw_loss/cascade_mask_rcnn_r101_fpn_random_seesaw_loss_mstrain_2x_lvis_v1-71e2215e.pth
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- Name: cascade_mask_rcnn_r101_fpn_random_seesaw_loss_normed_mask_mstrain_2x_lvis_v1
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In Collection: Seesaw Loss
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Config: configs/seesaw_loss/cascade_mask_rcnn_r101_fpn_random_seesaw_loss_normed_mask_mstrain_2x_lvis_v1.py
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Metadata:
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Epochs: 24
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Results:
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- Task: Object Detection
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Dataset: LVIS v1
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Metrics:
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box AP: 33.0
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- Task: Instance Segmentation
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Dataset: LVIS v1
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Metrics:
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mask AP: 30.0
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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
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- Name: cascade_mask_rcnn_r101_fpn_sample1e-3_seesaw_loss_mstrain_2x_lvis_v1
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In Collection: Seesaw Loss
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Config: configs/seesaw_loss/cascade_mask_rcnn_r101_fpn_sample1e-3_seesaw_loss_mstrain_2x_lvis_v1.py
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Metadata:
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Epochs: 24
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Results:
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- Task: Object Detection
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Dataset: LVIS v1
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Metrics:
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box AP: 30.0
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- Task: Instance Segmentation
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Dataset: LVIS v1
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Metrics:
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mask AP: 29.3
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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
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- Name: cascade_mask_rcnn_r101_fpn_sample1e-3_seesaw_loss_normed_mask_mstrain_2x_lvis_v1
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In Collection: Seesaw Loss
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Config: configs/seesaw_loss/cascade_mask_rcnn_r101_fpn_sample1e-3_seesaw_loss_normed_mask_mstrain_2x_lvis_v1.py
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Metadata:
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Epochs: 24
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Results:
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- Task: Object Detection
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Dataset: LVIS v1
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Metrics:
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box AP: 32.8
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- Task: Instance Segmentation
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Dataset: LVIS v1
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Metrics:
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mask AP: 30.1
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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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