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3d-resnets-pytorch

3D ResNets for Action Recognition (CVPR 2018)

adversarialnetspapers

The classical paper list with code about generative adversarial nets

ailab

arbitrary-text-to-image-papers

A collection of arbitrary text to image papers with code (constantly updating)

automl_survey

awesome-action-recognition

A curated list of action recognition and related area resources

awesome-causality-in-cv

A curated list of Causality in Computer Vision

bbox-label-tool

A simple tool for labeling object bounding boxes in images

cac-openset

Code for Class Anchor Clustering loss for training a distance-based open set classifier

caffe

This fork of BVLC/Caffe is dedicated to improving performance of this deep learning framework when running on CPU, in particular Intel® Xeon processors (HSW+) and Intel® Xeon Phi processors

caffe-face

This branch is developed for deep face recognition

caffe-train

cappronet-pytorch

capsnet-tensorflow

A Tensorflow implementation of CapsNet(Capsules Net) in Hinton's paper Dynamic Routing Between Capsules

cayman

Cayman is a Jekyll theme for GitHub Pages

conditional-similarity-networks

conv_arithmetic

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

cs-notes

😋 技术面试必备基础知识

cv2-uva.github.io

damo-yolo

DAMO-YOLO: a fast and accurate object detection method with some new techs, including NAS backbones, efficient RepGFPN, ZeroHead, AlignedOTA, and distillation enhancement.

danet

Dual Attention Network for Scene Segmentation (CVPR2019)

dare

DARE: Deception Analysis and Reasoning Engine

dataloaders_dali

PyTorch DataLoaders implemented with DALI for boosting image preprocessing

dataset

all dataset

dcgan-lsgan-wgan-wgan-gp-tensorflow

DCGAN LSGAN WGAN WGAN-GP Tensorflow

dd2423

Image Analysis and Computer Vision

dd2424

deblur-gan

Keras implementation of "DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks"

deblurgan

Image Deblurring using Generative Adversarial Networks

deep-forest

An implementation of Deep Forest 2021.2.1.