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

• Paper & Code Review
• Original Paper

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

• Paper & Code Review
• Original Paper

MLP-Mixer: An all-MLP Architecture for Vision

• Paper & Code Review
• Original Paper

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

• Paper & Code Review
• Original Paper

Attention Is All You Need

• Paper & Code Review
• Original Paper

Vision Transformers for Dense Prediction

• Paper & Code Review
• Original Paper

Image to Image Translation

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

• Paper & Code Review
• Original Paper

Bi-level Feature Alignment for Versatile Image Translation and Manipulation

• Paper & Code Review
• Original Paper

Convolutional Neural Network

Deep Residual Learning for Image Recognition

• Paper & Code Review
• Original Paper

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

• Paper & Code Review
• Original Paper

Object Detection / Segmentation

Panoptic Feature Pyramid Networks

• Paper & Code Review
• Original Paper

Mask R-CNN

• Paper & Code Review
• Original Paper

Cost Aggregation Is All You Need for Few-Shot Segmentation

• Paper & Code Review
• Original Paper

YOLOv4: Optimal Speed and Accuracy of Object Detection

• Paper & Code Review
• Original Paper

PointRend: Image Segmentation as Rendering

• Paper & Code Review
• Original Paper

Representation Learning

Unsupervised Feature Learning via Non-Parametric Instance Discrimination

• Paper & Code Review
• Original Paper

Momentum Contrast for Unsupervised Visual Representation Learning.

• Paper & Code Review
• Original Paper

A Simple Framework for Contrastive Learning of Visual Representations

• Paper & Code Review
• Original Paper

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

• Paper & Code Review
• Original Paper

Exploring Simple Siamese Representation Learning

• Paper & Code Review
• Original Paper

Image Generation

Generative Adversarial Networks

• Paper & Code Review
• Original Paper

A Style-Based Generator Architecture for Generative Adversarial Networks

• Paper & Code Review
• Original Paper

GAN Dissection: Visualizing and Understanding Generative Adversarial Networks

• Paper & Code Review
• Original Paper

Semantic Image Synthesis with Spatially-Adaptive Normalization

• Paper & Code Review
• Original Paper

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

• Paper & Code Review
• Original Paper

Vision and Language

Depth Estimation

Correspondence

Implicit Field