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