Fine-Grained Visual Classification via Progressive Multi-Granularity Training of Jigsaw Patches
一. Fine-Grained Visual Classification via Progressive Multi-Granularity Training of Jigsaw Patches 基於漸進式多粒度拼圖訓練的細粒度視覺分類 code：https://github.com/PRIS-CV/PMG-Progressive-Multi-Granularity-Training paper：
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相關文章
- 1. Fine-Grained Visual Classification via Progressive Multi-Granularity Training of Jigsaw Patches
- 2. 自監督學習（十）Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles
- 3. Learning to Compare Image Patches via Convolutional Neural Networks
- 4. ECCV2016【論文筆記】Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles
- 5. Check It Again: Progressive Visual Question Answeringvia Visual Entailment
- 6. [cvpr2015]Improving training of deep neural networks via Singular Value Bounding
- 7. CrossWord of AM training
- 8. 論文學習：Learning to Compare Image Patches via Convolutional Neural Networks
- 9. 【論文閱讀筆記】Hyperspectral image classification via a random patches network
- 10. 【論文閱讀筆記】Relation Classification via Convolutional Deep Neural Network