Random Erasing Data Augmentation. Experiments on CIFAR10, CIFAR100 and Fashion-MNIST
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Updated
Nov 8, 2023 - Python
Random Erasing Data Augmentation. Experiments on CIFAR10, CIFAR100 and Fashion-MNIST
Deep Learning for Person Re-identification: A Survey and Outlook
[ICLR-2020] Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification.
[ECCV 2020] QAConv: Interpretable and Generalizable Person Re-Identification with Query-Adaptive Convolution and Temporal Lifting, and [CVPR 2022] GS: Graph Sampling Based Deep Metric Learning
A strong baseline for body part-based person re-identification (check out our WACV23 paper)
Spatially and Temporally Efficient Non-local Attention Network for Video-based Person Re-Identification (BMVC 2019)
[CVPR 2023] Diverse Embedding Expansion Network and Low-Light Cross-Modality Benchmark for Visible-Infrared Person Re-identification
Surpassing Real-World Source Training Data: Random 3D Characters for Generalizable Person Re-Identification
[CVPR2020] Hi-CMD: Hierarchical Cross-Modality Disentanglement for Visible-Infrared Person Re-Identification
Official implementation of the paper GEFF: Improving Any Clothes-Changing Person ReID Model using Gallery Enrichment with Face Features.
Person re-identification MGN model based on tensorflow
A New Strong and Simple Baseline Method for VI-ReID (Bridging the Gap: Multi-level Cross-modality Joint Alignment for Visible-infrared Person Re-identification)
A ros package that tracks a selected target person using YOLOv3 and DeepSORT
Video-based Person Re-identification without Bells and Whistles (CVPRw 2021)
[NeurIPS 2021] TransMatcher: Deep Image Matching Through Transformers for Generalizable Person Re-identification
Official implementation of "Improved Person Re-Identification Based on Saliency and Semantic Parsing with Deep Neural Network Models" IMAVIS 2019
Person re-identification, a tool used in intelligent video surveillance, is the task of correctly identifying individuals across multiple images captured under varied scenarios from multiple cameras. Solving this problem is inherently a challenging one because of the issues posed to it by low resolution images, illumination changes per image, un…
Codes of the paper "Adversarial Binary Coding for Efficient Person Re-identification"
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