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

Last update: Mar 17, 2022

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Deep Learning computer-vision deep-learning transformer image-generation segmentation convolutional-neural-networks object-detection papers representation-learning paper-implementations paper-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

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Deep learning algorithms for muon momentum estimation in the CMS Trigger System

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A framework for GPU based high-performance medical image processing and visualization

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Simple PyTorch hierarchical models.

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Code and hyperparameters for the paper "Generative Adversarial Networks"

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1 Feb 15, 2022

Official Implementation of "LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks"

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46 Dec 15, 2022

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SpiroMask: Measuring Lung Function Using Consumer-Grade Masks

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Turn based roguelike in python

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This repository is an open-source implementation of the ICRA 2021 paper: Locus: LiDAR-based Place Recognition using Spatiotemporal Higher-Order Pooling.

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96 Dec 15, 2022

Neural models of common sense. 🤖

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