SOTA results for reid baseline model (Gluon implementation)
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Updated
Aug 6, 2018 - Python
SOTA results for reid baseline model (Gluon implementation)
CVPR2018: Unsupervised Cross-dataset Person Re-identification by Transfer Learning of Spatio-temporal Patterns
My implementation of Spectral-Feature-Transformation-ReID, link to the paper: https://arxiv.org/abs/1811.11405
Mancs: A multi-task attentional network with curriculum sampling for person re-identification
Simple pytorch unofficial implement of paper: Learning Discriminative Features with Multiple Granularities for Person Re-Identification
A Pytorch Implementation of "Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro"(ICCV17)
This is Top 3 Code for the Person ReID Compitition of NAIC
Temporal Lifting (TLift), a model-free temporal cooccurrence based score weighting method proposed in "Interpretable and Generalizable Person Re-Identification with Query-Adaptive Convolution and Temporal Lifting".
Person re-identification project with three suggested models, which implemented using yolo, opencv, tensorflow, etc.
Implementing RepNet(a two-stream multitask learning network) to do vehicle Re-identification, vehicle search(or vehicle match) with PyTorch 可用于车辆细粒度识别,车辆再识别,车辆匹配,车辆检索,RepNet/MDNet的一种PyTorch实现
open-reid with PCB, IDE, triplet, ZJU; MOT/MTMCT feature extraction support included
EANet: Enhancing Alignment for Cross-Domain Person Re-identification
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