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Found 5 papers, 1 papers with code
Attention Deep Model with Multi-Scale Deep Supervision for Person Re-Identification
Besides, most of the multi-scale models embedding the multi-scale feature learning block into the feature extraction deep network, which reduces the efficiency of inference network.
Omni-directional Feature Learning for Person Re-identification
Most of them focus on learning the part feature representation of person body in horizontal direction.
Random Occlusion-recovery for Person Re-identification
As a basic task of multi-camera surveillance system, person re-identification aims to re-identify a query pedestrian observed from non-overlapping multiple cameras or across different time with a single camera.
Optimized Projection for Sparse Representation Based Classification
Dimensionality reduction (DR) methods have been commonly used as a principled way to understand the high-dimensional data such as facial images.
Robust and Efficient Subspace Segmentation via Least Squares Regression
If the subspaces from which the data drawn are independent or orthogonal, they are able to obtain a block diagonal affinity matrix, which usually leads to a correct segmentation.
