CV papers

Awesome of Computer Vision Resources

A curated list of resources dedicated to Face Recognition & Detection, OCR, Objection Detection, Gan, 3D, Motion Track & Pose Estimation, ReID, NAS, Recommentation, Model Scaling. Any suggestions and pull requests are welcome.

ReID

• [2019-CVPR] MAR: Unsupervised Person Re-identification by Soft Multilabel Learning paper code
• [2019-CVPR] Bags of Tricks and A Strong Baseline for Deep Person Re-identification(Baseline) paper code paper
• [2019-CVPR] Backbone Can Not be Trained at Once: Rolling Back to Pre-trained Network for Person Re-IdentificationRolling Back to Pre-trained Network for Person Re-Identification paper code
• [2019-CVPR] Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-identification paper code
• [2019-CVPR] An Adaptive Training-less System for Anomaly Detection in Crowd Scenes paper
• [2019-CVPR] DBC: Dispersion based Clustering for Unsupervised Person Re-identification paper code
• [2019-CVPR] SSA-CNN: Semantic Self-Attention CNN for Pedestrian Detection(SOTA) paper
• [2018-CVPR] Attention-Aware Compositional Network for Person Re-identification(with pose Information) paper

Gan

• [collection] Awesome Generative Adversarial Networks with tensorflow**code
• [framework] Implementations of a number of generative models GAN, VAE, Seq2Seq, VAEGAN, GAIA, Spectrogram Inversion in Tensorflow** code
• [2019-CVPR] BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding paper https://github.com/google-research/bert code-pytorch
• [2019-CVPR] StyleGan: Generator Inversion for Image Enhancement and Animation papercode
• [2018-ICLR] Progressive Growing of GANs for Improved Quality, Stability, and Variation paper code)

NAS

• [framework] An open source AutoML toolkit for neural architecture search and hyper-parameter tuning code
• [2019-CVPR] AutoGrow: Automatic Layer Growing in Deep Convolutional Networks paper code
• [2019-ar Xiv] MDENAS: Multinomial Distribution Learning for Effective Neural Architecture Search paper code
• [2019-CVPR] MnasNet: Platform-Aware Neural Architecture Search for Mobile paper code
• [2019-CVPR] Searching for A Robust Neural Architecture in Four GPU Hours paper code
• [2019-arXiv] Single-Path Mobile AutoML: Efficient ConvNet Design and NAS Hyperparameter Optimization paper code
• [2019-CVPR] Dynamic Distribution Pruning for Efficient Network Architecture Search paper code

Classification

• [ToolBox] Sandbox for training convolutional networks for computer vision (VGG,ResNet,PreResNet,ResNeXt,SENet,ResAttNet,SKNet,PyramidNet,
• DenseNet,BagNet,MSDNet,FishNet,SqueezeNet,SqueezeResNet,SqueezeNext,ShuffleNet,ShuffleNetV2,MENet,MobileNet,FD-MobileNet,MobileNetV2,MobileNetV3,
  Xception,InceptionV3,InceptionV4,InceptionResNetV2,PolyNet,NASNet-Mobile,PNASNet-Large,EfficientNet) code
• [2019-CVPR] RepMet: Representative-based metric learning for classification and one-shot object detection paper
• [2018-CVPR] SENet: Squeeze-and-Excitation Networks(champion for imageNet) paper code code-caffe
• [2018-CVPR] FishNet: A Versatile Backbone for Image, Region, and Pixel Level Prediction paper code

Recommendation & CTR

• [ToolBox] Implementation of Deep Learning based Recommender Algorithms with Tensorflow code
• [ToolBox] A framework for training and evaluating AI models on a variety of openly available dialogue datasets code
• [ToolBox] StarSpace: Embed All The Things! paper code
• [ToolBox] Modular and Extendible package of deep-learning based CTR models code
• [collection] Classic papers and resources on recommendation papers
• [collection] A collection of resources for Recommender Systems papers
• [collection] papers,datas,outline for recommendation code

CTR

• [2019-arXiv] Deep Learning Recommendation Model for Personalization and Recommendation Systems(***CTR) papercode

Recommendation

• [2019-arXiv] Generative Adversarial User Model for Reinforcement Learning Based Recommendation System paper
• [2019-arXiv] Recent Advances in Diversified Recommendation paper
• [2017-arXiv] Training Deep AutoEncoders for Collaborative Filtering(***SOTA) paper code

Video Processing

Classification

• [2019-CVPR] Video Classification paper [code](https://github.com/HHTseng/video-classification
• [2019-CVPR] FastDVDnet: Towards Real-Time Video denoising Without Explicit Motion Estimation(denoising) paper code
• [2019-CVPR] Hallucinating Optical Flow Features for Video Classification [paper](https://arxiv.org/abs/1905.11799v1 ") code

Augumentation

• [2019-CVPR] DAVANet: Stereo Deblurring with View Aggregation(debluring) paper code
• [2019-CVPR] DVDnet: A Simple and Fast Network for Deep Video Denoising(***SOTA) paper code
• [2019-CVPR] Deep Flow-Guided Video Inpainting paper code
• [2019-CVPR] EDVR: Video Restoration with Enhanced Deformable Convolutional Networks paper code
• [2019-CVPR] FastDVDnet: Towards Real-Time Video denoising Without Explicit Motion Estimation(denoising) paper code
• [2019-CVPR] TecoGAN: Temporally Coherent GANs for Video Super-Resolution paper code
• [2018-XXXX] A Deep Learning based project for colorizing and restoring old images and video!(***) code

SLAM

• [2019-CVPR] AdaptForStereo: Learning to Adapt for Stereo paper code