Computer-Vision-Paper-Reviews - Computer Vision Paper Reviews with Key Summary along Papers & Codes

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Deep Learningcomputer-visiondeep-learningtransformerimage-generationsegmentationconvolutional-neural-networksobject-detectionpapersrepresentation-learningpaper-implementationspaper-reviews
Overview

Computer-Vision-Paper-Reviews

Computer Vision Paper Reviews with Key Summary along Papers & Codes.

Jonathan Choi 2021

50+ Papers across Computer Vision fields

  • Transformer
  • Image to Image Translation
  • Image Generation
  • Convolutional Neural Networks
  • Representation Learning
  • Object Detection & Segmentation

Currently working on. Only * has contents.

Transformer

End-to-End Object Detection with Transformers

An Image Is Worth 16x16 Words: Transformers For Image Recognition at Scale

MLP-Mixer: An all-MLP Architecture for Vision

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

Attention Is All You Need

Vision Transformers for Dense Prediction

Image to Image Translation

Image-to-Image Translation with Conditional Adversarial Networks (CVPR 2017)*

Bi-level Feature Alignment for Versatile Image Translation and Manipulation

Convolutional Neural Network

Deep Residual Learning for Image Recognition

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

Object Detection / Segmentation

Panoptic Feature Pyramid Networks

Mask R-CNN

Cost Aggregation Is All You Need for Few-Shot Segmentation

YOLOv4: Optimal Speed and Accuracy of Object Detection

PointRend: Image Segmentation as Rendering

Representation Learning

Unsupervised Feature Learning via Non-Parametric Instance Discrimination

Momentum Contrast for Unsupervised Visual Representation Learning.

A Simple Framework for Contrastive Learning of Visual Representations

Bootstrap Your Own Latent- A New Approach to Self-supervised Learning

Exploring Simple Siamese Representation Learning

Image Generation

Generative Adversarial Networks

A Style-Based Generator Architecture for Generative Adversarial Networks

GAN Dissection: Visualizing and Understanding Generative Adversarial Networks

Semantic Image Synthesis with Spatially-Adaptive Normalization

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

Vision and Language

Depth Estimation

Correspondence

Implicit Field

Owner
Jonathan Choi
Passionate researcher in Computer Vision, Deep Learning.
Jonathan Choi
GitHub Repository
A modified version of DeepMind's Alphafold2 to divide CPU part (MSA and template searching) and GPU part (prediction model)

ParallelFold Author: Bozitao Zhong This is a modified version of DeepMind's Alphafold2 to divide CPU part (MSA and template searching) and GPU part (p

Bozitao Zhong 77 Dec 22, 2022
[CVPR 2021] "The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models" Tianlong Chen, Jonathan Frankle, Shiyu Chang, Sijia Liu, Yang Zhang, Michael Carbin, Zhangyang Wang

The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models Codes for this paper The Lottery Tickets Hypo

VITA 59 Dec 28, 2022
A library for differentiable nonlinear optimization.

Theseus A library for differentiable nonlinear optimization built on PyTorch to support constructing various problems in robotics and vision as end-to

Meta Research 1.1k Dec 30, 2022
GAN example for Keras. Cuz MNIST is too small and there should be something more realistic.

Keras-GAN-Animeface-Character GAN example for Keras. Cuz MNIST is too small and there should an example on something more realistic. Some results Trai

160 Sep 20, 2022
ICCV2021 - Mining Contextual Information Beyond Image for Semantic Segmentation

Introduction The official repository for "Mining Contextual Information Beyond Image for Semantic Segmentation". Our full code has been merged into ss

55 Nov 09, 2022
[CVPR 2021] Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers

[CVPR 2021] Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers

Fudan Zhang Vision Group 897 Jan 05, 2023
Unofficial implementation of the paper: PonderNet: Learning to Ponder in TensorFlow

PonderNet-TensorFlow This is an Unofficial Implementation of the paper: PonderNet: Learning to Ponder in TensorFlow. Official PyTorch Implementation:

1 Oct 23, 2022
This is the official implementation of 3D-CVF: Generating Joint Camera and LiDAR Features Using Cross-View Spatial Feature Fusion for 3D Object Detection, built on SECOND.

3D-CVF This is the official implementation of 3D-CVF: Generating Joint Camera and LiDAR Features Using Cross-View Spatial Feature Fusion for 3D Object

YecheolKim 97 Dec 20, 2022
Integrated physics-based and ligand-based modeling.

ComBind ComBind integrates data-driven modeling and physics-based docking for improved binding pose prediction and binding affinity prediction. Given

Dror Lab 44 Oct 26, 2022
Parsing, analyzing, and comparing source code across many languages

Semantic semantic is a Haskell library and command line tool for parsing, analyzing, and comparing source code. In a hurry? Check out our documentatio

GitHub 8.6k Dec 28, 2022
A Joint Video and Image Encoder for End-to-End Retrieval

Frozen️ in Time ❄️ ️️️️ ⏳ A Joint Video and Image Encoder for End-to-End Retrieval project page | arXiv | webvid-data Repository containing the code,

225 Dec 25, 2022
Official implementation of "Membership Inference Attacks Against Self-supervised Speech Models"

Introduction Official implementation of "Membership Inference Attacks Against Self-supervised Speech Models". In this work, we demonstrate that existi

Wei-Cheng Tseng 7 Nov 01, 2022
Finetune SSL models for MOS prediction

Finetune SSL models for MOS prediction This is code for our paper under review for ICASSP 2022: "Generalization Ability of MOS Prediction Networks" Er

Yamagishi and Echizen Laboratories, National Institute of Informatics 32 Nov 22, 2022
Code for Understanding Pooling in Graph Neural Networks

Select, Reduce, Connect This repository contains the code used for the experiments of: "Understanding Pooling in Graph Neural Networks" Setup Install

Daniele Grattarola 37 Dec 13, 2022
Neural networks applied in recognizing guitar chords using python, AutoML.NET with C# and .NET Core

Chord Recognition Demo application The demo application is written in C# with .NETCore. As of July 9, 2020, the only version available is for windows

Andres Mauricio Rondon Patiño 24 Oct 22, 2022
This code is a toolbox that uses Torch library for training and evaluating the ERFNet architecture for semantic segmentation.

ERFNet This code is a toolbox that uses Torch library for training and evaluating the ERFNet architecture for semantic segmentation. NEW!! New PyTorch

Edu 104 Jan 05, 2023
Computer Vision and Pattern Recognition, NUS CS4243, 2022

CS4243_2022 Computer Vision and Pattern Recognition, NUS CS4243, 2022 Cloud Machine #1 : Google Colab (Free GPU) Follow this Notebook installation : h

Xavier Bresson 142 Dec 15, 2022
Optimizing DR with hard negatives and achieving SOTA first-stage retrieval performance on TREC DL Track (SIGIR 2021 Full Paper).

Optimizing Dense Retrieval Model Training with Hard Negatives Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, Shaoping Ma This repo provi

Jingtao Zhan 99 Dec 27, 2022
TensorFlow implementation of Deep Reinforcement Learning papers

Deep Reinforcement Learning in TensorFlow TensorFlow implementation of Deep Reinforcement Learning papers. This implementation contains: [1] Playing A

Taehoon Kim 1.6k Jan 03, 2023
Vector Quantized Diffusion Model for Text-to-Image Synthesis

Vector Quantized Diffusion Model for Text-to-Image Synthesis Due to company policy, I have to set microsoft/VQ-Diffusion to private for now, so I prov

Shuyang Gu 294 Jan 05, 2023