hdjsjyl's repositories
Pedestrian-Detection
Pedestrian Detection Papers
ALFNet
Code for 'Learning Efficient Single-stage Pedestrian Detectors by Asymptotic Localization Fitting' in ECCV2018
Bi-box_Regression
Pytorch implementation of Bi-box Regression for Pedestrian Detection and Occlusion Estimation (ECCV2018)
CycleGAN-gluon-mxnet
this repo attemps to reproduce Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks(CycleGAN) use gluon reimplementation
Decoupled-Classification-Refinement
The is an official implementation of our ECCV2018 paper "Revisiting RCNN: On Awakening the Classification Power of Faster RCNN (https://arxiv.org/abs/1803.06799)"
deep_learning_object_detection
A paper list of object detection using deep learning.
DeOldify
A Deep Learning based project for colorizing and restoring old images
Face_Attention_Network
Pytorch implementation of face attention network
graph-cnn.mxnet
MXNet implementation of Graph Convolutional Neural Networks
graph-rcnn.pytorch
Pytorch code for our ECCV 2018 paper "Graph R-CNN for Scene Graph Generation"
kpm_rw_person_reid
Code of Deep Kronecker-Product Matchingand Group-shuffiling Random Walk for Person Re-ID
learning-to-see-in-the-dark.mxnet
An implementation of Learning to See in the Dark in MXNet
machine-learning-yearning-cn
MACHINE LEARNING YEARNING BY ANDREW NG
mxnet-Head-Pose
An MXNet implementation of Fine-Grained Head Pose
NetDissect
Network Dissection http://netdissect.csail.mit.edu for quantifying interpretability of deep CNNs.
Object-Detection-Metrics
Most popular metrics used to evaluate object detection algorithms
py-faster-rcnn
Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version
PyramidBox
This repo implements PyramidBox with pytorch
Repulsion_Loss
Pytorch implementation of Repulsion Loss on RetinaNet
ResidualAttentionNetwork
A Gluon implement of Residual Attention Network
RFBNet
Receptive Field Block Net for Accurate and Fast Object Detection, ECCV 2018
SENet.mxnet
:fire::fire: A MXNet implementation of Squeeze-and-Excitation Networks (SE-ResNext, SE-Resnet, SE-Inception-v4 and SE-Inception-Resnet-v2) :fire::fire:
ST_Loss
Selective Transferring Loss for Pedestrian Detection Learning from Multi-Domains
transferlearning
Everything about Transfer Learning and Domain Adaptation--迁移学习