旷视的AlignedReID,很有意思。 The end-to-end learning with structure prior is more powerful than a “blind” end-to-end learning. reid难点:
目前triplet loss等用的比较多。Combining softmax loss with metric learning loss to speed up the convergence is al…
文章目录 论文速读Methodpixel-aligned Radiance Fields。Volume Renderingmulti-view feature aggregation1. Fixed number of conditioning views2 Variable number of conditioning views background Modelcolor correction modelLoss Function Limitatons 论文速读
While …
AlignedReID: Surpassing Human-Level Performance in Person Re-Identification
AlignedReID: Surpassing Human-Level Performance in Person Re-Identification
前言
开题结束了,又要开始肝论文的日子,这次要整理的是旷视2017年的一篇文章AlignedR…