ZHUXUHAN

Detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

hico

voc2007_classification_pytorch

voc2007的多标签分类

pytorch-cnn-visualizations

Pytorch implementation of convolutional neural network visualization techniques

two-stream-action-recognition

Using two stream architecture to implement a classic action recognition method on UCF101 dataset

faster_rcnn_pytorch

Faster RCNN with PyTorch

PixelsToGraphs_on_VCOCO

Utilizing stacked-hourglass-network-based architectures and testing with V-COCO annotated datasets.

faster-rcnn.pytorch_resnet50

Pytorch Pretrained Resnet18, 34, 50 backbone of faster-rcnn

openpose

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

deformable-convolution-pytorch

PyTorch implementation of Deformable Convolution

Realtime_Multi-Person_Pose_Estimation

Code repo for realtime multi-person pose estimation in CVPR'17 (Oral)

openpose

OpenPose: Real-time multi-person keypoint detection library for body, face, and hands estimation

mmskeleton

A OpenMMLAB toolbox for human pose estimation, skeleton-based action recognition, and action synthesis.

pygcn

Graph Convolutional Networks in PyTorch

face_recognition

🍎 My own face recognition with deep neural networks.

pretrained-models.pytorch

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

hoi_challenge

keras implement of hico-det model

iCAN

[BMVC 2018] iCAN: Instance-Centric Attention Network for Human-Object Interaction Detection

Parsing-R-CNN

Parsing R-CNN for Instance-Level Human Analysis

AirNet-PyTorch

Implementation of the paper ''Attention Inspiring Receptive-fields Network''

mxnet-model

Mxnet models (includimg classification, detection and segmentation) and deploy files for famouse networks

py-RFCN-priv

code for py-R-FCN-multiGPU maintained by bupt-priv

Pytorch_Mask_RCNN

Converted from [tf+keras version MASK-RCNN](https://github.com/matterport/Mask_RCNN)

gpnn

Code for ECCV2018 - Learning Human-Object Interactions by Graph Parsing Neural Networks.

neural-motifs

Code for Neural Motifs: Scene Graph Parsing with Global Context (CVPR 2018)

DeepLearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为15个章节，近20万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

NeuralBabyTalk

Pytorch code of for our CVPR 2018 paper "Neural Baby Talk"

graph-rcnn.pytorch

[ECCV 2018] Official code for "Graph R-CNN for Scene Graph Generation"

knowing-when-to-look-adaptive-attention

PyTorch Implementation of Knowing When to Look: Adaptive Attention via a Visual Sentinal for Image Captioning