🎓Automatically Update CV Papers Daily using Github Actions (Update Every 12th hours)
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Jun 30, 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.
Video Foundation Models & Data for Multimodal Understanding
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!
The collection of pre-trained, state-of-the-art AI models for ailia SDK
A list of Human-Object Interaction Learning.
This repository evaluates the generalization ability of the STRM (Spatio-Temporal Relation Modelling) model across various datasets. We provide additional resources, enhancements, and comprehensive documentation not available in the original STRM repository. Our goal is to facilitate the reproduction and extension of STRM's results
A curated paper list of awesome skeleton-based action recognition.
Training Toolbox for Caffe
Фреймворк компьютерного зрения для задач, детекции, сегментации, классификации, идентификации людей, анализа настроений и классификации действий
Awesome video understanding toolkits based on PaddlePaddle. It supports video data annotation tools, lightweight RGB and skeleton based action recognition model, practical applications for video tagging and sport action detection.
OphNet: A Large-Scale Video Benchmark for Ophthalmic Surgical Workflow Understanding
This is the offical repository of LLAVIDAL
[CVPR 2024] Asymmetric Masked Distillation for Pre-Training Small Foundation Models
【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)
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