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Benchmark for Hetergeneous Federated Learning by MARS Group at the Wuhan University, led by Prof. Mang Ye.
Cross-Modal Implicit Relation Reasoning and Aligning for Text-to-Image Person Retrieval (CVPR 2023)
Deep Learning for Person Re-identification: A Survey and Outlook
A comprehensive list [AIM@IJCAI'21, P3M@MM'21, GFM@IJCV'22, RIM@CVPR'23, P3MNet@IJCV'23] of our research works related to image matting, including papers, codes, datasets, demos, and citations. Not…
[IJCV 2022] Bridging Composite and Real: Towards End-to-end Deep Image Matting
Pytorch implementation of 'Improving Self-supervised Lightweight Model Learning via Hard-aware Metric Distillation. In ECCV 2022'
[ACM MM-2021] WePerson: learning a generalized re-identification model from all-weather virtual data
A list of 3D point cloud completion resources.
A collection of state-of-the-art face super-resolution/hallucination methods
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
GOM：New Metric for Re-identification. 👉GOM explicitly balances the effect of performing retrieval and verification into a single unified metric.
Pytorch Code of DDAG for Visible-Infrared Person Re-Identification (ECCV20)
[CVPR 2019] Pytorch codes for Multi-adversarial Discriminative Deep Domain Generalization for Face Presentation Attack Detection
A comprehensive collection of recent papers on graph deep learning
See More, Know More: Unsupervised Video Object Segmentation with Co-Attention Siamese Networks (CVPR19)
Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
Deep InfoMax (DIM), or "Learning Deep Representations by Mutual Information Estimation and Maximization"
Awesome Person Re-identification
Code for Unsupervised Embedding Learning via Invariant and Spreading Instance Feature
Bag of Tricks and A Strong Baseline for Deep Person Re-identification
A Bottom-Up Clustering Approach to Unsupervised Person Re-identification, AAAI 2019 (Oral)
Pytorch Code for Cross-Modality Person Re-Identification (Visible Thermal/Infrared Re-ID)
Images of the PerxonX dataset and the original 3D human models of this dataset
PCB of paper: Beyond Part Models: Person Retrieval with Refined Part Pooling, using Pytorch
Metric learning models in PyTorch with results on CUB2011, CARS196, Stanford Online Products