🎓Automatically Update CV Papers Daily using Github Actions (Update Every 12th hours)
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Jun 6, 2024 - Python
🎓Automatically Update CV Papers Daily using Github Actions (Update Every 12th hours)
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Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™
Gather research papers, corresponding codes (if having), reading notes and any other related materials about Hot🔥🔥🔥 fields in Computer Vision based on Deep Learning.
The collection of pre-trained, state-of-the-art AI models for ailia SDK
Video Foundation Models & Data for Multimodal Understanding
[CVPR 2024] Asymmetric Masked Distillation for Pre-Training Small Foundation Models
A curated paper list of awesome skeleton-based action recognition.
CVPR 2023-2024 Papers: Dive into advanced research presented at the leading computer vision conference. Keep up to date with the latest developments in computer vision and deep learning. Code included. ⭐ support visual intelligence development!
【AAAI'2023 & IJCV】Transferring Vision-Language Models for Visual Recognition: A Classifier Perspective
[ICCV 2019 (Oral)] Temporal Attentive Alignment for Large-Scale Video Domain Adaptation (PyTorch)
[ICCV 2019 Oral] TA3N: https://github.com/cmhungsteve/TA3N (Most updated repo)
[ICCV 2021] A new codebase containing various methods for Group Activity Recognition. Paper title: Spatio-Temporal Dynamic Inference Network for Group Activity Recognition.
VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training
A list of Human-Object Interaction Learning.
FG 2024 Papers: Explore a comprehensive collection of research papers presented at one of the premier conferences on automatic face and gesture recognition. Seamlessly integrate code implementations for better understanding. ⭐ Experience the cutting edge of progress in facial analysis, gesture recognition, and biometrics with this repository!
OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark
Фреймворк компьютерного зрения для задач, детекции, сегментации, классификации, идентификации людей, анализа настроений и классификации действий
I designed an intelligent system capable of analyzing movement within the videos and detecting suspicious movement that precedes the occurrence of shoplifting crimes. The proposed system can analyze the movement into two primary classifications: the natural movement, and the suspicious movement (with the percentage of each of them being determin…
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