wuzzh's Stars
facebookresearch/Detectron
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
timzhang642/3D-Machine-Learning
A resource repository for 3D machine learning
MVIG-SJTU/AlphaPose
Real-Time and Accurate Full-Body Multi-Person Pose Estimation&Tracking System
openimages/dataset
The Open Images dataset
foolwood/benchmark_results
Visual Tracking Paper List
kenshohara/3D-ResNets-PyTorch
3D ResNets for Action Recognition (CVPR 2018)
RiweiChen/DeepFace
Face analysis mainly based on Caffe. At this time, face analysis tasks like detection, alignment and recognition have been done.
mapillary/inplace_abn
In-Place Activated BatchNorm for Memory-Optimized Training of DNNs
Escheee/TBCF
Tracking Benchmark for Correlation Filters
irolaina/FCRN-DepthPrediction
Deeper Depth Prediction with Fully Convolutional Residual Networks (FCRN)
zhaoweicai/cascade-rcnn
Caffe implementation of multiple popular object detection frameworks
spencer-project/spencer_people_tracking
Multi-modal ROS-based people detection and tracking framework for mobile robots developed within the context of the EU FP7 project SPENCER.
bertinetto/siamese-fc
Arbitrary object tracking at 50-100 FPS with Fully Convolutional Siamese networks.
TuSimple/TuSimple-DUC
Understanding Convolution for Semantic Segmentation
xiaohaoChen/rrc_detection
Accurate Single Stage Detector Using Recurrent Rolling Convolution
IBBM/Cascaded-FCN
Source code for the MICCAI 2016 Paper "Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional NeuralNetworks and 3D Conditional Random Fields"
MVIG-SJTU/RMPE
RMPE: Regional Multi-person Pose Estimation, forked from Caffe. Research purpose only.
makefile/frcnn
Faster R-CNN / R-FCN :bulb: C++ version based on Caffe
kmaninis/OSVOS-caffe
One-Shot Video Object Segmentation
Roll920/ThiNet
caffe model of ICCV'17 paper - ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression https://arxiv.org/abs/1707.06342
liuyuisanai/Focal-Loss
Reproduction of Focal-loss on caffe
imatge-upc/rsis
Recurrent Neural Networks for Semantic Instance Segmentation
davidstutz/caffe-tools
Some tools and examples for pyCaffe including LMDB I/O, custom Python layers and monitoring training error and loss.
youyoujushi/MOTDemo
Multi Object Tracking Demo(traffic statistics & passenger flow statistics)
foreverYoungGitHub/CascadeCNN
Repository for "A Convolutional Neural Network Cascade for Face Detection", implemented with Caffe, C++ interface
RiweiChen/VideoFace
let machine learning help you watching video.
a61730607/ROI_Align
ROI_Align
mini-bull/super-caffe
A super caffe for mobilenet, deep-feature flow, single shot Multi-box detection, flownet, PSPnet
DeeperCS/CaffePythonLayerLoss
wuzzh/Image_Captioning_AI_Challenger
Code for AI Challenger contest. (Generating chinese image captions)