Bit-Scalable Deep Hashing With Regularized Similarity Learning for Image Retrieval and Person Re-Identification Supervised Hashing for Image Retrieval via Image Representation Learning Simultaneous Feature Learning and Hash Coding with Deep Neural Networks Unsupervised Cross-dataset Person Re-identification by Transfer Learning of Spatial-Temporal Pattern Self-similarity Grouping: A Simple Unsupervised Cross Domain Adaptation Approach for Person Re-identification STA: Spatial-Temporal Attention for Large-Scale Video-based Person Re-Identification Cross-view Asymmetric Metric Learning for Unsupervised Person Re-identification S+U images Adversial Training Bootstrapping Face Detection with Hard Negtive Examples Install Caffe on ubuntu14.04 More...

Pytorch的distributed training

最大熵模型的理解