Architecture | Softmax, RPN, ResNeSt, Convolution, Dense Connections, FPN, RoIAlign |
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lr sched | 1x |
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Architecture | Softmax, RPN, ResNeSt, Convolution, Dense Connections, FPN, RoIAlign |
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lr sched | 1x |
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Architecture | Softmax, RPN, ResNeSt, Convolution, Dense Connections, FPN, RoIAlign |
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lr sched | 1x |
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Architecture | Softmax, RPN, ResNeSt, Convolution, Dense Connections, FPN, RoIAlign |
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lr sched | 1x |
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[BACKBONE]
@article{zhang2020resnest,
title={ResNeSt: Split-Attention Networks},
author={Zhang, Hang and Wu, Chongruo and Zhang, Zhongyue and Zhu, Yi and Zhang, Zhi and Lin, Haibin and Sun, Yue and He, Tong and Muller, Jonas and Manmatha, R. and Li, Mu and Smola, Alexander},
journal={arXiv preprint arXiv:2004.08955},
year={2020}
}
Backbone | Style | Lr schd | Mem (GB) | Inf time (fps) | box AP | Config | Download |
---|---|---|---|---|---|---|---|
S-50-FPN | pytorch | 1x | 4.8 | - | 42.0 | config | model | log |
S-101-FPN | pytorch | 1x | 7.1 | - | 44.5 | config | model | log |
Backbone | Style | Lr schd | Mem (GB) | Inf time (fps) | box AP | mask AP | Config | Download |
---|---|---|---|---|---|---|---|---|
S-50-FPN | pytorch | 1x | 5.5 | - | 42.6 | 38.1 | config | model | log |
S-101-FPN | pytorch | 1x | 7.8 | - | 45.2 | 40.2 | config | model | log |
Backbone | Style | Lr schd | Mem (GB) | Inf time (fps) | box AP | Config | Download |
---|---|---|---|---|---|---|---|
S-50-FPN | pytorch | 1x | - | - | 44.5 | config | model | log |
S-101-FPN | pytorch | 1x | 8.4 | - | 46.8 | config | model | log |
Backbone | Style | Lr schd | Mem (GB) | Inf time (fps) | box AP | mask AP | Config | Download |
---|---|---|---|---|---|---|---|---|
S-50-FPN | pytorch | 1x | - | - | 45.4 | 39.5 | config | model | log |
S-101-FPN | pytorch | 1x | 10.5 | - | 47.7 | 41.4 | config | model | log |
MODEL | BOX AP |
---|---|
Cascade Mask R-CNN ResNeSt (S-101-FPN, 1x, pytorch) | 47.7 |
Cascade R-CNN ResNeSt (S-101-FPN, 1x, pytorch) | 46.8 |
Cascade Mask R-CNN ResNeSt (S-50-FPN, 1x, pytorch) | 45.4 |
Mask R-CNN ResNeSt (S-101-FPN, 1x, pytorch) | 45.2 |
Faster R-CNN ResNeSt (S-101-FPN, 1x, pytorch) | 44.5 |
Cascade R-CNN ResNeSt (S-50-FPN, 1x, pytorch) | 44.5 |
Mask R-CNN ResNeSt (S-50-FPN, 1x, pytorch) | 42.6 |
Faster R-CNN ResNeSt (S-50-FPN, 1x, pytorch) | 42.0 |
MODEL | MASK AP |
---|---|
Cascade Mask R-CNN ResNeSt (S-101-FPN, 1x, pytorch) | 41.4 |
Mask R-CNN ResNeSt (S-101-FPN, 1x, pytorch) | 40.2 |
Cascade Mask R-CNN ResNeSt (S-50-FPN, 1x, pytorch) | 39.5 |
Mask R-CNN ResNeSt (S-50-FPN, 1x, pytorch) | 38.1 |