极简笔记 多篇weakly supervised segmentation笔记
极简笔记 多篇weakly supervised segmentation笔记 Backtracking ScSPM Image Classifier for Weakly Supervised Top-down Saliency 文章主要思想是通过遮挡部分区域，观察分类confidence的改变来决定pixel-level的预测。文章没有使用CNN结构，而是使用SIFT特征+稀疏编码+SVM进行
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相关文章
- 1. 极简笔记 多篇weakly supervised segmentation笔记
- 2. 极简笔记 Weakly Supervised Instance Segmentation using Class Peak Response
- 3. 《Self-Supervised Difference Detection for Weakly-Supervised Semantic Segmentation》笔记
- 4. 极简笔记 Instance Segmentation Survey
- 5. Seed, Expand and Constrain: Three Principles for Weakly-Supervised Image Segmentation 论文笔记
- 6. Weakly Supervised Instance Segmentation using Class Peak Response阅读笔记
- 7. 【论文笔记】Weakly-Supervised Semantic Segmentation Network with Deep Seeded Region Growing
- 8. 【论文笔记】Simple Does It: Weakly Supervised Instance and Semantic Segmentation
- 9. 极简笔记 segmentation + transfer learning survey第二弹
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