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# ————2022.11.29 CS231n学习汇报
# 2022.11 CS231n学习汇报
介绍CS231n部分的学习，包含计算机视觉简介、图像分类（K最邻近算法、线性分类）、神经网络以及卷积神经网络部分
# ————2022.12.30 行人重识别任务汇报
# 2022.12 行人重识别任务汇报
关于行人重识别第一个阶段的学习汇报
# ————2023.9 行人检测汇报
# 2023.9 行人检测汇报
关于行人检测系列论文汇报汇总
* Co-Scale Conv-Attentional Image Transformers
* LEAPS: End-to-End One-Step Person Search With Learnable Proposals
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* FCOS: Fully Convolutional One-Stage Object Detection
* Optimal Proposal Learning for Deployable End-to-End Pedestrian Detection
# ————2024.1 相关论文阅读汇报
# 2024.1 相关论文阅读汇报
包含其他方面结合MAE部分的汇报
* Generic-to-Specific Distillation of Masked Autoencoders
# ————2024.3 2024春季论文汇报
# 2024.3 2024春季论文汇报
包含MAE有关工作及文章部分汇总
* Masked Autoencoders Are Scalable Vision Learners
* BEiT: BERT Pre-Training of Image Transformers