metafile.yml
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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: seesaw_loss/mask_rcnn_r50_fpn_random_seesaw_loss_mstrain_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: seesaw_loss/mask_rcnn_r50_fpn_random_seesaw_loss_normed_mask_mstrain_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_random_seesaw_loss_mstrain_2x_lvis_v1
In Collection: Seesaw Loss
Config: seesaw_loss/mask_rcnn_r101_fpn_random_seesaw_loss_mstrain_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_random_seesaw_loss_normed_mask_mstrain_2x_lvis_v1
In Collection: Seesaw Loss
Config: seesaw_loss/mask_rcnn_r101_fpn_random_seesaw_loss_normed_mask_mstrain_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_sample1e-3_seesaw_loss_mstrain_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_sample1e-3_seesaw_loss_normed_mask_mstrain_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_sample1e-3_seesaw_loss_mstrain_2x_lvis_v1
In Collection: Seesaw Loss
Config: configs/seesaw_loss/mask_rcnn_r101_fpn_sample1e-3_seesaw_loss_mstrain_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_sample1e-3_seesaw_loss_normed_mask_mstrain_2x_lvis_v1
In Collection: Seesaw Loss
Config: configs/seesaw_loss/mask_rcnn_r101_fpn_sample1e-3_seesaw_loss_normed_mask_mstrain_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_random_seesaw_loss_mstrain_2x_lvis_v1
In Collection: Seesaw Loss
Config: configs/seesaw_loss/cascade_mask_rcnn_r101_fpn_random_seesaw_loss_mstrain_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_random_seesaw_loss_normed_mask_mstrain_2x_lvis_v1
In Collection: Seesaw Loss
Config: configs/seesaw_loss/cascade_mask_rcnn_r101_fpn_random_seesaw_loss_normed_mask_mstrain_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_sample1e-3_seesaw_loss_mstrain_2x_lvis_v1
In Collection: Seesaw Loss
Config: configs/seesaw_loss/cascade_mask_rcnn_r101_fpn_sample1e-3_seesaw_loss_mstrain_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_sample1e-3_seesaw_loss_normed_mask_mstrain_2x_lvis_v1
In Collection: Seesaw Loss
Config: configs/seesaw_loss/cascade_mask_rcnn_r101_fpn_sample1e-3_seesaw_loss_normed_mask_mstrain_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