dinggd's Stars
junyanz/pytorch-CycleGAN-and-pix2pix
Image-to-Image Translation in PyTorch
zhunzhong07/Random-Erasing
Random Erasing Data Augmentation. Experiments on CIFAR10, CIFAR100 and Fashion-MNIST
jhb86253817/tf-re-id
rohitgirdhar/ActionVLAD
ActionVLAD for video action classification (CVPR 2017)
itijyou/ademxapp
Code for https://arxiv.org/abs/1611.10080
harveyslash/Facial-Similarity-with-Siamese-Networks-in-Pytorch
Implementing Siamese networks with a contrastive loss for similarity learning
Cysu/dgd_person_reid
Domain Guided Dropout for Person Re-identification
InnovArul/personreid_normxcorr
Deep neural network model introducing new novel matching layer called 'Normalized correlation' layer. This repository contains information about the datasets used, implementation code for our NIPS-2016 paper "Deep Neural Networks with Inexact Matching for Person Re-Identification"
pytorch/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
kevinlin311tw/caffe-cvprw15
:heart::coffee: Deep Learning of Binary Hash Codes for Fast Image Retrieval (CVPRW15)
yebrahim/pydiff
A simple GUI for python's difflib to compare files and directories
zhunzhong07/person-re-ranking
Person Re-ranking (CVPR 2017)
zhunzhong07/IDE-baseline-Market-1501
ID-discriminative Embedding (IDE) for Person Re-identification
norouzi/hdml
Hamming Distance Metric Learning with Non-linear Projection
weiliu89/caffe
Caffe: a fast open framework for deep learning.
christopher5106/FastAnnotationTool
A tool using OpenCV to annotate images for image classification, optical character reading, ...
facebookarchive/fb-caffe-exts
Some handy utility libraries and tools for the Caffe deep learning framework.
vdumoulin/conv_arithmetic
A technical report on convolution arithmetic in the context of deep learning
HumanSignal/labelImg
LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source data labeling tool for images, text, hypertext, audio, video and time-series data.
rbgirshick/fast-rcnn
Fast R-CNN
sjchoi86/dl_tutorials_3rd
Deep learning tutorials (third edition)