Eden AI: simplify the use and deployment of AI technologies by providing a unique API that connects to the best possible AI engines
-
Updated
Jun 27, 2024 - Python
Eden AI: simplify the use and deployment of AI technologies by providing a unique API that connects to the best possible AI engines
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.
Video Capture of USB devices and IP cameras in C#, Delphi, C++ or QT
【AAAI'2023 & IJCV】Transferring Vision-Language Models for Visual Recognition: A Classifier Perspective
This project was created as part of a job application challenge to showcase my skills. It utilizes a dataset that cannot be shared due to (potential) confidentiality reasons, and no PRs are allowed. F1 Score: 891/900.
GPT4Vis: What Can GPT-4 Do for Zero-shot Visual Recognition?
WACV 2024 Papers: Discover cutting-edge research from WACV 2024, the leading computer vision conference. Stay updated on the latest in computer vision and deep learning, with code included. ⭐ support visual intelligence development!
Video dataset dedicated to portrait-mode video recognition.
RoCoG-v2 (Robot Control Gestures) is a dataset intended to support the study of synthetic-to-real and ground-to-air video domain adaptation.
Классификация изображений на видеокадрах с помощью сервиса машинного обучения.
【CVPR'2023】Bidirectional Cross-Modal Knowledge Exploration for Video Recognition with Pre-trained Vision-Language Models
This is a warehouse for Hiera-Pytorch-models, you can use them to recognize your image.
[NeurIPS 2023] Unsupervised Video Domain Adaptation for Action Recognition: A Disentanglement Perspective
Detects license plate of car and recognizes its characters
Code and model for "Multi-dataset Training of Transformers for Robust Action Recognition", NeurIPS 2022 Spotlight
Official PyTorch Repository of "Minority-Oriented Vicinity Expansion with Attentive Aggregation for Video Long-Tailed Recognition" (AAAI 2023 Oral Paper) and Imbalanced-MiniKinetics200 dataset.
Code for paper "TLEE: Temporal-wise and Layer-wise Early Exiting Network for Efficient Video Recognition on Edge Devices"
Two-stream CNNs for Video Action Recognition using Stacked Optical Flow. Implemented in Keras on HMDB-51 dataset.
AutoVideo: An Automated Video Action Recognition System
A curated list of action recognition and related area resources
Add a description, image, and links to the video-recognition topic page so that developers can more easily learn about it.
To associate your repository with the video-recognition topic, visit your repo's landing page and select "manage topics."