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Official PyTorch Implementation of "Shape-Erased Feature Learning for Visible-Infrared Person Re-Identification" (CVPR'23)
codes for AAAI papar : Infrared-Visible Cross-Modal Person Re-Identification with an X Modality
Pytorch code for Towards a Unified Middle Modality Learning for Visible-Infrared Person Re-Identification
Official implementation for "CLIP-ReID: Exploiting Vision-Language Model for Image Re-identification without Concrete Text Labels" (AAAI 2023)
SOTA Re-identification Methods and Toolbox
Bag of Tricks and A Strong Baseline for Deep Person Re-identification
Code for paper (Lu, H., Zou, X., & Zhang, P. Learning progressive modality-shared transformers for effective visible-infrared person re-identification. In Proceedings of the AAAI conference on arti…
✔(已完结)超级全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】【大飞 大模型Agent】
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PyTorch implementation for Learning with Twin Noisy Labels for Visible-Infrared Person Re-Identification (CVPR 2022).
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
[CVPR 2023] Diverse Embedding Expansion Network and Low-Light Cross-Modality Benchmark for Visible-Infrared Person Re-identification
(Re-)implementation of evaluation code for SYSU_MM01 dataset in python
An independent implementation to reproduce the paper "RGB-Infrared Cross-Modality Person Re-Identification" from ICCV2017
Demo code for visible thermal (cross-modality) person re-identification
Pytorch Code for Cross-Modality Person Re-Identification (Visible Thermal/Infrared Re-ID)
《深度学习入门-基于Python的理论与实现》,包含源代码和高清PDF(带书签);慕课网imooc《深度学习之神经网络(CNN-RNN-GAN)算法原理-实战》;《菜菜的机器学习sklearn》