Learning Compact Binary Descriptors with Unsupervised Deep Neural Networks
2016-09-19 14:53
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CVPR2016
开源代码: https://github.com/kevinlin311tw/cvpr16-deepbit
本文通过深度学习网络来学习 Compact Binary Descriptors ,
亮点是 Unsupervised,在优化函数里面加入了三个约束:
1) minimal loss quantization
2) evenly distributed codes
3) uncorrelated bits
优化函数:
L1, L2,L3 分别对应:
1)Discriminative Binary Descriptors
2) Efficient Binary Descriptors
3) Rotation Invariant Binary Descriptors
算法流程如下:
4 Experimental Results
4.2. Results on Image Matching
4.3. Results on Image Retrieval
4.4. Results on Object Recognition
开源代码: https://github.com/kevinlin311tw/cvpr16-deepbit
本文通过深度学习网络来学习 Compact Binary Descriptors ,
亮点是 Unsupervised,在优化函数里面加入了三个约束:
1) minimal loss quantization
2) evenly distributed codes
3) uncorrelated bits
优化函数:
L1, L2,L3 分别对应:
1)Discriminative Binary Descriptors
2) Efficient Binary Descriptors
3) Rotation Invariant Binary Descriptors
算法流程如下:
4 Experimental Results
4.2. Results on Image Matching
4.3. Results on Image Retrieval
4.4. Results on Object Recognition
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