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Overview
Overview
Dataset
Dataset
Metrics
Papers
Papers
Paper List:
Y. Zhao, G. Wang, C. Tang, C. Luo, W. Zeng, Z. J. Zha, "The Battle of Network Structure: Empirical Research on CNN, Transformer and MLP", in arXiv:2108.13002, 2021.
T. Ridnik, H. Lawen, E. Ben-Baruch, A. Noy, "Solving ImageNet: a Unified Scheme for Training any Backbone to Top Results", in arXiv:2204.03475, 2022.
Object Detection Papers: https://github.com/YunhaoLee/Object-Detection-paper
References
Cheats 1. Lightweight network for model acceleration [Link]
Cheats 2: The road to non-maximum suppression and regression loss optimization [Link]
Cheats 3. Multi-scale detection [Link]
Cheats 4. Data enhancement [Link]
Cheats 5. Solve the problem of sample imbalance [Link]
Cheats 6. Anchor-Free [Link]
A review of the latest deep semantic segmentation models [Link]
Visual attention mechanism | The relationship and difference between Non-local module and Self-attention? [Link]
Visual attention mechanism | Visual attention mechanism for classification: SEnet, CBAM, SKNet [Link]
Summary | Pytorch-based YOLO target detection project engineering collection [Link]
https://viblo.asia/p/tong-hop-kien-thuc-tu-yolov1-den-yolov5-phan-3-63vKjgJ6Z2R
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