Comments (1)
In our test, according to the environment [Tesla P100] input size [1,3,352,352] in our paper, the results obtained are as follows. FLOPs are about 10G, and the parameters are 25M. FPS has been tested many times due to server fluctuations, as shown in the figure below:
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Related Issues (15)
- PVT V2 implementation HOT 1
- About pretrained module
- Sincerely request the thesis baseline code HOT 1
- About CFM module HOT 2
- Article publication HOT 1
- Question about the channel selection in SAM HOT 2
- About the results of your video polyp segmentation which your mention in the conclusion HOT 1
- baidu drive HOT 3
- 可视化结果 HOT 1
- 关于模型 Train.py 的几点疑问 HOT 4
- 最优权重 HOT 3
- evaluation
- Pretained only works for RGB. Not for Grayscale
- About the pretrained model
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