Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
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Updated
Feb 2, 2024 - HTML
Computer vision is an interdisciplinary field that deals with how computers can be made to gain high-level understanding of digital images and videos.
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Skeleton-based Action Recognition
Efficiently Scaling Up Video Annotation with Crowdsourced Marketplaces. IJCV 2012
[NeurIPS 2021] Multiscale Benchmarks for Multimodal Representation Learning
Cornell NLVR and NLVR2 are natural language grounding datasets. Each example shows a visual input and a sentence describing it, and is annotated with the truth-value of the sentence.
News: the 7k dataset is ready for download.
课件:数字图像处理,深度学习,计算机视觉,机器学习
A Knowledge Base for the FB Group Artificial Intelligence and Deep Learning (AIDL)
Code for the paper "Two-Stream Convolutional Networks for Dynamic Texture Synthesis". Presented at CVPR '18.
Tutorial Series (60 hour course): Essentials of computer vision
Easy-to-use finetuned YOLOv8 models.
[CSUR 2023] A Survey on Deep Generative 3D-aware Image Synthesis
CloudCV GSoC Ideas
Turn an image of a bookshelf into an interactive SVG.
Visualizing query-key interactions in language + vision transformers
Displays all the 2019 CVPR Accepted Papers in a way that they are easy to parse.
Easily create a web UI on Amazon Mechanical Turk to crowd-source instance segmentation data