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collaborative-learning-for-weakly-supervised-object-detection

contractive_autoencoder_in_pytorch

Pytorch implementation of contractive autoencoder on MNIST dataset

contrastnet

convnet-noisy

convolutional code for feed-forward noise model

convnet.pytorch

ConvNet training using pytorch

coordattention

Code for our CVPR2021 paper coordinate attention

cores

Learning with Instance-Dependent Label Noise: A Sample Sieve Approach (ICLR2021)

cs231a

Computer Vision: From 3D Reconstruction to Recognition

cs231a-1

Stanford University CS231A: Computer Vision, From 3D Reconstruction to Recognition HomeWork Answer

cs231a-notes

The course notes for Stanford's CS231A course on computer vision

cs231n_cris_jim

"Understanding the Amazon" Kaggle competition

curriculum-labeling

[AAAI 21] Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning

customized-dataloader

Customized DataLoader for multi label dataset classification-pytorch implementation

cutmix-pytorch

Official Pytorch implementation of CutMix regularizer

cv-surveys

2021 年，计算机视觉相关综述。包括目标检测、跟踪........

cvpr2015

cvpr2022-papers-with-code-demo

收集 CVPR 最新的成果，包括论文、代码和demo视频等，欢迎大家推荐！

da

Unsupervised Domain Adaptation Papers and Code

danet

Dual Attention Network for Scene Segmentation (CVPR2019)

danet-keras

keras-Dual Attention Network for Scene Segmentation

data-augmentation-pytorch

Data-Augmentation example based on torchsample

decota

ICCV 2021: Deep Co-Training with Task Decomposition for Semi-supervised Domain Adaptation

deep-learning-book

《Deep Learning》《深度学习》 by Ian Goodfellow, Yoshua Bengio and Aaron Courville

deep-learning-boot-camp

A community run, 5-day PyTorch Deep Learning Bootcamp

deep-person-reid

Torchreid: Deep learning person re-identification in PyTorch.

deep-residual-networks

Deep Residual Learning for Image Recognition

deepembeddingmodel_zsl

Tensorflow code for CVPR 2017 paper: Learning a Deep Embedding Model for Zero-Shot Learning

deepfm_with_pytorch

A PyTorch implementation of DeepFM for CTR prediction problem.

deeplearningbook-chinese

Deep Learning Book Chinese Translation

deeplearntoolbox

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.