starstylesky,星纬,github

conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

coot-videotext

COOT: Cooperative Hierarchical Transformer for Video-Text Representation Learning

couplenet

Code for training 'CoupleNet: Coupling Global Structure with Local Parts for Object Detection' in ICCV 2017

crest-release

CREST: Convolutional Residual Learning for Visual Tracking

This project is an implementation of the crowd counting model proposed in our CVPR 2017 paper - Switching Convolutional Neural Network(SCNN) for Crowd Counting. SCNN is an adaptation of the fully-convolutional neural network and uses an expert CNN that chooses the best crowd density CNN regressor for parts of the scene from a bag of regressors. This helps it tackle intra-scene crowd density variation and obtain SOTA results

crowdcount-cascaded-mtl

Single Image Crowd Counting (CNN-based Cascaded Multi-task Learning of High-level Prior and Density Estimation for Crowd Counting)

crowdcount-stackpool

Stacked pooling for crowd counting

cvat

Computer Vision Annotation Tool (CVAT) is a web-based tool which helps to annotate video and images for Computer Vision algorithms

da_detection

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

dabnn

dabnn is an accelerated binary neural networks inference framework for mobile platform

danet

Dual Attention Network for Scene Segmentation

darknet

Windows and Linux version of Darknet Yolo v4 (v3/v2) Neural Networks for object detection (Tensor Cores are used)

darkpose

Distribution-Aware Coordinate Representation for Human Pose Estimation

dasiamrpn

Distractor-aware Siamese Networks for Visual Object Tracking (ECCV2018)

dataaugmentationforobjectdetection

Data Augmentation For Object Detection

datasetculling

:scissors: Dataset Culling: Faster training of domain specific models! :scissors:

dcnv2

Deformable Convolutional Networks v2 with Pytorch

decoupled-attention-network

Pytorch implementation for "Decoupled attention network for text recognition".

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-approach-for-surface-defect-detection

（最先进的缺陷检测网络） A Tensorflow implementation of "Segmentation-Based Deep-Learning Approach for Surface-Defect Detection"

deep-learning-model-convertor

The convertor/conversion of deep learning models for different deep learning frameworks/softwares.

deep-neural-networks-healthcare

Tangible and Practical Deep Learning Projects Repository for Healthcare such as Cancer, Drug Discovery, Genomic and More

deep-painterly-harmonization

Code and data for paper "Deep Painterly Harmonization": https://arxiv.org/abs/1804.03189

deep-person-reid

Pytorch implementation of deep person re-identification models.

deepcluster

Deep Clustering for Unsupervised Learning of Visual Features

deepcompression-caffe

Caffe for Deep Compression

deeperlab-pytorch

Segmentation realize Deeperlab only segmentation part

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