940 Open source projects that are alternatives of or similar to cool-papers-in-pytorch

This repository contains all the papers accepted in top conference of computer vision, with convenience to search related papers.

Papers with code. Sorted by stars. Updated weekly.

Crawler used to crawl papers

( CVPR2019 Oral ) Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation

SegAN: Semantic Segmentation with Adversarial Learning

Code for CVPR 2020 paper "Deep Local Parametric Filters for Image Enhancement"

A collection of AWESOME things about domian adaptation

Statistics and Visualization of acceptance rate, main keyword of CVPR 2019 accepted papers for the main Computer Vision conference (CVPR)

CV 论文笔记

This work is based on our paper "DualConvMesh-Net: Joint Geodesic and Euclidean Convolutions on 3D Meshes", which appeared at the IEEE Conference On Computer Vision And Pattern Recognition (CVPR) 2020.

The project is the official implementation of our CVPR 2021 paper, "Restoring Extremely Dark Images in Real Time"

Exploiting Saliency for Object Segmentation from Image Level Labels, CVPR'17

4D Spatio-Temporal Semantic Segmentation on a 3D video (a sequence of 3D scans)

The official pytorch implemention of the CVPR paper "Temporal Modulation Network for Controllable Space-Time Video Super-Resolution".

Code for the ICPR 2020 paper: "CURL: Neural Curve Layers for Image Enhancement"

Adversarial Learning for Semi-supervised Semantic Segmentation, BMVC 2018

Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)

Attending to Discriminative Certainty for Domain Adaptation

Complete download for papers in various top conferences

CVPR 2021 论文和开源项目合集

AdvPC: Transferable Adversarial Perturbations on 3D Point Clouds (ECCV 2020)

Pytorch implementation of Feature Generation for Long-Tail Classification by Rahul Vigneswaran, Marc T Law, Vineeth N Balasubramaniam and Makarand Tapaswi

Adversarial Attacks on Deep Neural Networks for Time Series Classification

Code accompanying the paper "Semi-supervised adversarial audio source separation applied to singing voice extraction"

Unofficial! English original and Chinese translation of the paper.

Semi-supervised Semantic Segmentation with Directional Context-aware Consistency (CVPR 2021)

个人博客；论文；机器学习；深度学习；Python学习；C++学习；

[ICIP 2019] : This is the official github repository for the paper "What's There in The Dark" accepted in IEEE International Conference in Image Processing 2019 (ICIP19) , Taipei, Taiwan.

Adversarial Adaptation with Distillation for BERT Unsupervised Domain Adaptation

EntitySeg Toolbox: Towards Open-World and High-Quality Image Segmentation

Code for our ACML and INTERSPEECH papers: "Speaker Diarization as a Fully Online Bandit Learning Problem in MiniVox".

A PyTorch implementation of semantic segmentation according to Multi-Scale Context Aggregation by Dilated Convolutions by Yu and Koltun.

LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)

Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning, NeurIPS 2021 (Spotlight)

[CVPR 2022] S-attack library. Official implementation of two papers "Vehicle trajectory prediction works, but not everywhere" and "Are socially-aware trajectory prediction models really socially-aware?".

Code for 2016 TPAMI(IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE) A Comprehensive Study on Cross-View Gait Based Human Identification with Deep CNNs

Semantic image segmentation network with pyramid atrous convolution and boundary-aware loss for Tensorflow.

Summary of RGBT SOD and SS.

ShanghaiTech PLUS Lab Segmentation Toolbox and Benchmark

Author's implementation of the paper "Deep Relative Attributes" (ACCV 2016)

A customized implementation of the paper "StereoNet: guided hierarchical refinement for real-time edge-aware depth prediction"

Summary of machine learning papers

Semantically segment the road in the given image.

This is a collection of algorithms and approaches used in the book adversarial deep learning

A paper list with code of lane detection.

This repository allows you to anonymize sensitive information in images/videos. The solution is fully compatible with the DL-based training/inference solutions that we already published/will publish for Object Detection and Semantic Segmentation.

This is a paper list about Resource Allocation in Network Functions Virtualization (NFV) and Software-Defined Networking (SDN).

"GAN 인 액션"(한빛미디어, 2020)의 코드 저장소입니다.

The 4th place and the fastest solution of the Lyft Perception Challenge (Image semantic segmentation with PyTorch)

[AAAI'20] Segmenting Medical MRI via Recurrent Decoding Cell (Spotlight)

Weakly Supervised Segmentation by Tensorflow. Implements semantic segmentation in Simple Does It: Weakly Supervised Instance and Semantic Segmentation, by Khoreva et al. (CVPR 2017).

No.2 solution of Tianchi ImageNet Adversarial Attack Challenge.

[CVPR'21] MonoRUn: Monocular 3D Object Detection by Reconstruction and Uncertainty Propagation

Machine Learning Project to identify an ID Card on an image

Pixie is a GUI annotation tool which provides the bounding box, polygon, free drawing and semantic segmentation object labelling

Website for "A survey of learning to hash for Computer Vision" https://learning2hash.github.io

[CVPR 2021] Forecasting the panoptic segmentation of future video frames

InstantDL: An easy and convenient deep learning pipeline for image segmentation and classification

CVPR 2022: Cross-Modal Perceptionist: Can Face Geometry be Gleaned from Voices?

Deep and Machine Learning for Microscopy