wangxiao5791509/Pedestrian-Attribute-Recognition-Paper-List

[OpenPAR] An open-source framework for Pedestrian Attribute Recognition, based on PyTorch

A Benchmark for Anytime Person Re-Identification (AT-ReID), which aims to retrieve a person at any time, including both daytime and nighttime, ranging from short-term to long-term.

Welcome to the Awesome Multi-Modal Object Re-Identification Repository! This repository is dedicated to curating and sharing the latest methods, datasets, and resources focused specifically on the domain of multi-modal object re-identification. It brings together cutting-edge research, tools, and papers aimed at advancing the study and application.

Code for paper : An Effective Data Augmentation for Person Re-identification. By providing this code, you can simply verify the validity of the method proposed in the paper.

A flexible and extensible framework for gait recognition. You can focus on designing your own models and comparing with state-of-the-arts easily with the help of OpenGait.

A selection of state-of-the-art research materials on trajectory prediction

A curated list of awesome research papers, projects, code, dataset, workshops etc. related to virtual try-off.

RGB-T Fusion, RGB-T SOD, RGB-T Vehicle Detection, RGB-T Crowd Counting, RGB-T Pedestrian Detection, RGB-T Semantic Segmeantaion, RGB-T Tracking

A curated list of egocentric (first-person) vision and related area resources