To solve the above problems, this paper proposes a fish species identification approach based on SE-ResNet152 and class-balanced focal loss. First, visualization analysis and image preprocessing of fish datasets are carried out. Second, the SE-ResNet152 model is constructed as a generalized ...
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ImageNet Pre-trained Weights for SE-ResNet-50, 101, and 152 These are converted for ChainerCV. Orignal weights are distributed at GitHub: https://github.com/hujie-frank/SENet Paper: [Jie Hu, Li Shen and Gang Sun. **Squeeze-and-Excitation Networks (CVPR 2018)**](http://openaccess.the...
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ResNet200D SeResNet152D EfficientNetB5ResNet200D Multi-headInferenceSubmission Competition Notebook RANZCR CLiP - Catheter and Line Position Challenge Private Score 0.97100 Best Score 0.97079 V50 License This Notebook has been released under the Apache 2.0 open source license. Continue exploring Input...
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RANZCR ResNet200D SeResNet152D EfficientNetB5 menu auto_awesome_motion View Active Events Kanru Wang·4y ago· 859 views arrow_drop_up3 Copy & Edit5 more_vert Copied from Raghawendra Singh (+647,-47) NotebookInputOutputLogsComments (0) comment 0 Comments...
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