Computer Vision
Collection of latest computer-vision related papers
latest | popular
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.
production full-stack deep-learning course
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 ...
convolutional-neural-networks transformers coco visual-representations
AI Basketball Analysis
🏀 AI web app and API to analyze basketball shots and shooting pose.
pose-estimation sports basketball api
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 ...
computer-vision course deep-learning tutorial
The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."
object-detection salient-object-detection unet computer-vision
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”.
transformers illustrated natural-language-processing article
Modern Data Augmentation Techniques for Computer Vision
A bunch of modern data augmentation techniques for computer vision covering cutout, mixup, cutmix and augmix.
data-augmentation cutout mixup cutmix
Object Detection for Dummies
We will go through several basic concepts, algorithms, and popular deep learning models for image processing and object detection.
object-detection image-processing convolutional-neural-networks yolo
Computer Vision Recipes
This repository provides examples and best practice guidelines for building computer vision systems.
computer-vision pytorch object-detection image-classification
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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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