Linranran's repositories
person-search-PPCC
person search by progressive propagation via competitive consensus
person-reid-benchmark
A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets
video_reid_pytorch
video-based person reid in pytorch0.4.0
Self-Attention-GAN
Pytorch implementation of Self-Attention Generative Adversarial Networks (SAGAN)
Spatial-Temporal-Pooling-Networks-ReID
Pytorch implementation of the Attentive Spatial-Temporal Pooling Networks by Shuangjie Xu(2017.https://arxiv.org/abs/1708.02286)
openpose
OpenPose: Real-time multi-person keypoint detection library for body, face, and hands estimation
pytorch-multi-label-classifier
A pytorch implemented classifier for Multiple-Label classification
Diversity-Regularized-Spatiotemporal-Attention
Diversity Regularized Spatiotemporal Attention for Video-based Person Re-identification
LearningToCompare_FSL
PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)
Exploit-Unknown-Gradually
CVPR 2018 Exploit the Unknown Gradually: One-Shot Video-Based Person Re-Identification by Stepwise Learning
pytorch-CycleGAN-and-pix2pix
Image-to-image translation in PyTorch (e.g. horse2zebra, edges2cats, and more)
TFusion
CVPR2018: Unsupervised Cross-dataset Person Re-identification by Transfer Learning of Spatio-temporal Patterns
CycleGAN-TensorFlow
An implementation of CycleGan using TensorFlow
DeepEmbeddingModel_ZSL
Tensorflow code for CVPR 2017 paper: Learning a Deep Embedding Model for Zero-Shot Learning
CamStyle
Camera Style Adaptation for Person Re-identification CVPR 2018
FCN.tensorflow
Tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation (http://fcn.berkeleyvision.org)
stanford-tensorflow-tutorials
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
pose-sensitive-embedding
Pose Sensitive Embedding for Person Re-Identification (PSE)
LearningToCompare-Pytorch
Pytorch Implementation for CVPR2018 Paper: Learning to Compare: Relation Network for Few-Shot Learning
AlignedReID-Re-Production-Pytorch
Reproduce AlignedReID: Surpassing Human-Level Performance in Person Re-Identification, using Pytorch.
person-reid-triplet-loss-baseline
Rank-1 89% (Single Query) on Market1501 with raw triplet loss, In Defense of the Triplet Loss for Person Re-Identification, using Pytorch
beyond-part-models
PCB of paper: Beyond Part Models: Person Retrieval with Refined Part Pooling, using Pytorch
fcn.berkeleyvision.org
Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.
DukeMTMC-attribute
23 hand-annotated attributes of Duke dataset
cnblogs
一些我在平时工作和学习中积累的编程相关的资源。如果大家有兴趣可以一起增加，修改。
triplet-reid
Code for reproducing the results of our "In Defense of the Triplet Loss for Person Re-Identification" paper.
radio-transformer-networks
A PyTorch implementation of Radio Transformer Networks from the paper "An Introduction to Deep Learning for the Physical Layer".