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metafile.yml
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Collections:
- Name: STARK
Metadata:
Training Data: GOT10k, LaSOT, TrackingNet, MSCOCO
Training Techniques:
- AdamW
Training Resources: 8x V100 GPUs
Architecture:
- ResNet
Paper:
URL: https://arxiv.org/abs/2103.17154
Title: Learning Spatio-Temporal Transformer for Visual Tracking
README: configs/sot/stark/README.md
Models:
- Name: stark_st1_r50_500e_got10k
In Collection: STARK
Config: configs/sot/stark/stark_st1_r50_500e_got10k.py
Metadata:
Training Data: GOT10k
Training Memory (GB): 8.45
Epochs: 500
Results:
- Task: Single Object Tracking
Dataset: GOT10k
Metrics:
AO: 68.1
SR0.5: 77.4
SR0.75: 62.4
Weights: https://download.openmmlab.com/mmtracking/sot/stark/stark_st1_r50_500e_got10k/stark_st1_r50_500e_got10k_20220223_125400-40ead158.pth
- Name: stark_st2_r50_50e_got10k
In Collection: STARK
Config: configs/sot/stark/stark_st2_r50_50e_got10k.py
Metadata:
Training Data: GOT10k
Training Memory (GB): 2.31
Epochs: 50
Results:
- Task: Single Object Tracking
Dataset: GOT10k
Metrics:
AO: 68.3
SR0.5: 77.6
SR0.75: 62.7
Weights: https://download.openmmlab.com/mmtracking/sot/stark/stark_st2_r50_50e_got10k/stark_st2_r50_50e_got10k_20220226_124213-ee39bbff.pth
- Name: stark_st1_r50_500e_lasot
In Collection: STARK
Config: configs/sot/stark/stark_st1_r50_500e_lasot.py
Metadata:
Training Data: GOT10k, LaSOT, TrackingNet, MSCOCO
Training Memory (GB): 8.45
Epochs: 500
Results:
- Task: Single Object Tracking
Dataset: LaSOT
Metrics:
Success: 67.0
Norm Precision: 77.3
Precision: 71.7
Weights: https://download.openmmlab.com/mmtracking/sot/stark/stark_st1_r50_500e_lasot/stark_st1_r50_500e_lasot_20220414_185654-9c19e39e.pth
- Name: stark_st2_r50_50e_lasot
In Collection: STARK
Config: configs/sot/stark/stark_st2_r50_50e_lasot.py
Metadata:
Training Data: GOT10k, LaSOT, TrackingNet, MSCOCO
Training Memory (GB): 2.31
Epochs: 50
Results:
- Task: Single Object Tracking
Dataset: LaSOT
Metrics:
Success: 67.8
Norm Precision: 78.5
Precision: 73.0
Weights: https://download.openmmlab.com/mmtracking/sot/stark/stark_st2_r50_50e_lasot/stark_st2_r50_50e_lasot_20220416_170201-b1484149.pth
- Name: stark_st1_r50_500e_trackingnet
In Collection: STARK
Config: configs/sot/stark/stark_st1_r50_500e_trackingnet.py
Metadata:
Training Data: GOT10k, LaSOT, TrackingNet, MSCOCO
Training Memory (GB): 8.45
Epochs: 500
Results:
- Task: Single Object Tracking
Dataset: TrackingNet
Metrics:
Success: 80.5
Norm Precision: 85.0
Precision: 77.7
Weights: https://download.openmmlab.com/mmtracking/sot/stark/stark_st1_r50_500e_lasot/stark_st1_r50_500e_lasot_20220414_185654-9c19e39e.pth
- Name: stark_st2_r50_50e_trackingnet
In Collection: STARK
Config: configs/sot/stark/stark_st2_r50_50e_trackingnet.py
Metadata:
Training Data: GOT10k, LaSOT, TrackingNet, MSCOCO
Training Memory (GB): 2.31
Epochs: 50
Results:
- Task: Single Object Tracking
Dataset: TrackingNet
Metrics:
Success: 81.4
Norm Precision: 86.2
Precision: 79.0
Weights: https://download.openmmlab.com/mmtracking/sot/stark/stark_st2_r50_50e_lasot/stark_st2_r50_50e_lasot_20220416_170201-b1484149.pth