Reid

被师兄（同事？）普及了一番实验规范orz… 我还是太年轻了 所谓的一个fc的版本是右边的．一个放着不动，另一个在sequence_len（１０）的维度上做ave，然后再expand成原来的维度．如下图．

1709.08325 Reid问题指的是判断一个probe person 是否在被不同的camera捕获的gallery person 中出现。 通常是如下情景：给出一个特定camera下某个特定人的probe image 或者 video sequence，从其他camera处询问这个人的图像，地点，时间戳。

Key: (1). Pose-driven, body part alignment, combine whole feature and body part feature, focus on alignment of part model, (2). Combine image label and human attributes classes, do classification with attributes and identity learning (3). Based on triplet loss, improve metric learning for an end to end learning (4). Post-process, re-ranking AlignedReID: Surpassing Human-Level Performance in Person Re-Identification Hydraplus-net: Attentive deep features for pedestrian analysis. Darkrank: Accelerating deep metric learning via cross sample similarities transfer. Glad: Global-local-alignment descriptor for pedestrian retrieval.