xingliujia Goto Github PK

adversarial-frcnn

A-Fast-RCNN (CVPR 2017)

ai-job-notes

AI算法岗求职攻略（涵盖准备攻略、刷题指南、内推和AI公司清单等资料）

aiinterview

算法工程师面试题整理

anchorloss

Implementation of "Anchor Loss: Modulating loss scale based on prediction difficulty"

assd-pytorch

ASSD learns to highlight useful regions on the feature maps while suppressing the irrelevant information, thereby providing reliable guidance for object detection.

attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".

attentionalpooling-pytorch

awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

awesome_ssd_fpn_giou

This repository carries out some paper recurring work

bi-box_regression

Pytorch implementation of Bi-box Regression for Pedestrian Detection and Occlusion Estimation (ECCV2018)

bisenet

mIOU=78.4 on cityscapes. My implementation of paper: BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation

boundingboxgenerator

camera-wang2

张氏相机标定

cameracalibration

张正友相机标定--OpenCv实现

coco

MS COCO API - http://mscoco.org/

cpp-primer-plus

C++ Primer Plus 6th Answers

cv_paperdaily

CV 每日论文阅读笔记（日更）

da-faster-rcnn-pytorch

An unofficial implementation of 'Domain Adaptive Faster R-CNN for Object Detection in the Wild ’

da_detection

Implementation of "Strong-Weak Distribution Alignment for Adaptive Object Detection"

deep-k-means-pytorch

[ICML 2018] "Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions"

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

deeplabv3plus

deeplabv3plus2018:Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

deeplabv3plus-pytorch

Here is a pytorch implementation of deeplabv3+ supporting ResNet(79.155%) and Xception(79.945%). Multi-scale & flip test and COCO dataset interface has been finished.

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18个章节，近30万字。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[email protected] 版权所有，违权必究 Tan 2018.06

detectron.pytorch

detnet_pytorch

An implementation of DetNet: A Backbone network for Object Detection.

dl.eyesight

Mainly use SSD, YOLO and other models to solve the target detection problem in image and video !

drfnet

Dense Receptive Field For Object Detection

easy-faster-rcnn.pytorch

An easy implementation of Faster R-CNN (https://arxiv.org/pdf/1506.01497.pdf) in PyTorch.

ecanet

Code for ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks