Collection of latest computer-vision related papers
Full Stack Deep Learning
Full Stack Deep Learning helps you bridge the gap from training machine learning models to deploying AI systems in the real world.
VirTex: Learning Visual Representations from Textual Annotations
We train CNN+Transformer from scratch from COCO, transfer the CNN to 6 downstream vision tasks, and exceed ImageNet features despite using 10x fewer ...
AI Basketball Analysis
🏀 AI web app and API to analyze basketball shots and shooting pose.
Advanced Deep Learning for Computer Vision (ADL4CV)
The Visual Computing Group offers a variety of lectures and seminars on a regular basis, covering hot areas in computer graphics, vision, and machine ...
Image segmentation in 2020
Architectures, Losses, Datasets, and Frameworks
The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."
Illustrated Guide to Transformers: Step by Step Explanation
In this post, we’ll focus on the one paper that started it all, “Attention is all you need”.
Modern Data Augmentation Techniques for Computer Vision
A bunch of modern data augmentation techniques for computer vision covering cutout, mixup, cutmix and augmix.
Object Detection for Dummies
We will go through several basic concepts, algorithms, and popular deep learning models for image processing and object detection.
Computer Vision Recipes
This repository provides examples and best practice guidelines for building computer vision systems.
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Industrial Engineer @Texas A&M University. Interested in developing skills in computer vision and computational tools for data analysis and detection. Trying to learn about machine learning so as to develop them to think and act.
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