Hxx2048's Stars
KaiyangZhou/deep-person-reid
Torchreid: Deep learning person re-identification in PyTorch.
layumi/Person_reID_baseline_pytorch
:bouncing_ball_person: Pytorch ReID: A tiny, friendly, strong pytorch implement of person re-id / vehicle re-id baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial
JDAI-CV/fast-reid
SOTA Re-identification Methods and Toolbox
facebookarchive/MemNN
Memory Networks implementations
Cysu/open-reid
Open source person re-identification library in python
NVlabs/DG-Net
:couple: Joint Discriminative and Generative Learning for Person Re-identification. CVPR'19 (Oral) :couple:
automan000/Convolutional_LSTM_PyTorch
Multi-layer convolutional LSTM with Pytorch
huanghoujing/AlignedReID-Re-Production-Pytorch
Reproduce AlignedReID: Surpassing Human-Level Performance in Person Re-Identification, using Pytorch.
bingykang/Fewshot_Detection
Few-shot Object Detection via Feature Reweighting
Wanggcong/Spatial-Temporal-Re-identification
[AAAI 2019] Spatial Temporal Re-identification
ruoqianguo/DetNet_pytorch
An implementation of DetNet: A Backbone network for Object Detection.
syfafterzy/PCB_RPP_for_reID
daizuozhuo/batch-dropblock-network
Official source code of "Batch DropBlock Network for Person Re-identification and Beyond" (ICCV 2019)
VITA-Group/ABD-Net
[ICCV 2019] "ABD-Net: Attentive but Diverse Person Re-Identification" https://arxiv.org/abs/1908.01114
zhunzhong07/ECN
Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-identification CVPR 2019
yxgeee/FD-GAN
[NeurIPS-2018] FD-GAN: Pose-guided Feature Distilling GAN for Robust Person Re-identification.
imatge-upc/retrieval-2017-cam
Class-Weighted Convolutional Features for Image Retrieval (BMVC 2017)
yuminsuh/part_bilinear_reid
Code for ECCV2018 paper: Part-Aligned Bilinear Representations for Person Re-Identification
Yu-Wu/One-Example-Person-ReID
Code for TIP2019 Progressive Learning for Person Re-Identification with One Example
jshtok/RepMet
Few-shot detection for visual categories
researchmm/DBTNet
Code for our NeurIPS'19 paper "Learning Deep Bilinear Transformation for Fine-grained Image Representation"
YahooArchive/crow
Cross-dimensional weighting for aggregated deep convolutional features.
cvlab-yonsei/projects
likesiwell/LGM-Net
Tensorflow code for ICML 2019 paper: LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning
imatge-upc/salbow
Saliency Weighted Convolutional Features for Instance Search
cogentlabs/apl
Open source implementation of Adaptive Posterior Learning (ICLR 2019)
google-deepmind/dynamic-kanerva-machines
This is a self-contained memory module for the Dynamic Kanerva Machine, as reported in the NIPS 2018 paper: Learning Attractor Dynamics for Generative Memory.
Kajiyu/kanerva_machine
The implementation of "The Kanerva Machine" with Pytorch and Pyro
haoni0812/person-reid-2019-NAIC
2019全国人工智能大赛提交代码
IIDarkKnightII/apl
Open source implementation of Adaptive Posterior Learning (ICLR 2019)