henlong Goto Github PK

asff

yolov3 with mobilenet v2 and ASFF

attention-is-all-you-need-pytorch

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

automl

Google Brain AutoML

awesome-domain-adaptation

A collection of AWESOME things about domian adaptation

book-code

《Django开发从入门到实战》书籍各章节源代码

caffe

Caffe: a fast open framework for deep learning.

caffe-model

Caffe models (including classification, detection and segmentation) and deploy files for famouse networks

caffe-model-1

Caffe models (imagenet pretrain) and prototxt generator scripts for inception_v3 \ inception_v4 \ inception_resnet \ fractalnet \ resnext

caffe-model-zoo

caffe pretrained models and prototxt

caffe-yolov3

A real-time object detection framework of Yolov3 based on caffe

cascade-rcnn

Caffe implementation of multiple popular object detection frameworks

centernet

Object detection, 3D detection, and pose estimation using center point detection:

centripetal-sgd

Codes of Centripetal SGD

cocoapi

COCO API - Dataset @ http://cocodataset.org/

cornernet

cvpr2019

cvpr2019 papers，极市团队整理

da-faster-rcnn

An implementation of our CVPR 2018 work 'Domain Adaptive Faster R-CNN for Object Detection in the Wild'

deep-high-resolution-net.pytorch

The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

deep_learning_object_detection

A paper list of object detection using deep learning.

deeppyramid

Deep feature pyramids for various computer vision algorithms (DPMs, pyramid R-CNN, etc.)

deformable-convnets

Deformable Convolutional Networks

deformable-convnets-caffe

Deformable Convolutional Networks on caffe

derpn

A novel region proposal network for more general object detection ( including scene text detection ).

dsod-pytorch

An implementation of DSOD in Pytonch

edges

Structured Edge Detection Toolbox

efficient_densenet_pytorch

A memory-efficient implementation of DenseNets

faster_rcnn_pytorch

Faster RCNN with PyTorch

fcos

FCOS: Fully Convolutional One-Stage Object Detection (ICCV'19)

feature-selective-anchor-free-module-for-single-shot-object-detection

A PyTorch Implementation of Feature Selective Anchor-Free Module for Single-Shot Object Detection

flops-counter.pytorch

Flops counter for convolutional networks in pytorch framework