Zhun Zhong

Random-Erasing. Random Erasing Data Augmentation. Experiments on CIFAR10, CIFAR100 and Fashion-MNIST

person-re-ranking. Person Re-ranking (CVPR 2017)

ECN. Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-identification CVPR 2019

CamStyle. Camera Style Adaptation for Person Re-identification CVPR 2018

IDE-baseline-Market-1501. ID-discriminative Embedding (IDE) for Person Re-identification

HHL. Generalizing A Person Retrieval Model Hetero- and Homogeneously ECCV 2018

NCL. Neighborhood Contrastive Learning for Novel Class Discovery, CVPR 2021

Deep-Metric-Learning-CVPR16. Main repository for Deep Metric Learning via Lifted Structured Feature Embedding

caffe-video_triplet. Unsupervised Learning using Videos (ICCV 2015)

caffe-reid. A Discriminatively Learned CNN Embedding for Person Re-identification

HowToCook. 程序员在家做饭方法指南。Programmer's guide about how to cook at home (Chinese).

pytorch-cnn-finetune. Fine-tune pretrained Convolutional Neural Networks with PyTorch

awesome_OpenSetRecognition_list. A curated list of papers & resources linked to open set recognition, out-of-distribution, open set domain adaptation and open world recognition

PyTorchZeroToAll. Python

Person_reID_baseline_pytorch. Pytorch implement of Person re-identification baseline. We arrived Rank@1=88.24%, mAP=70.68% only with softmax loss. Re-ranking is added.

zhunzhong07.github.io. My site

Awesome-Novel-Class-Discovery. A list of papers that studies Novel Class Discovery

pytorch-image-models. PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, MobileNet-V3/V2/V1, MNASNet, Single-Path NAS, FBNet, and more

da-sac. Self-supervised Augmentation Consistency for Adapting Semantic Segmentation (CVPR 2021)

deep-person-reid. Pytorch implementation of deep person re-identification models.

ICLR2021-OpenReviewData. Crawl & visualize ICLR papers and reviews.

Augmentor. Image augmentation library in Python for machine learning.

mscnn. C++

AdversarialNetsPapers. The classical papers and codes about generative adversarial nets

DukeMTMC-VideoReID. Instructions and baseline code for the DukeMTMC-VideoReID dataset

WideResNet-pytorch. Wide Residual Networks (WideResNets) in PyTorch

simplified-open-reid. first comment

Meta-Learning-Papers. Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning