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The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Official repository of OFA (ICML 2022). Paper: OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework
[ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"
Common figures (e.g., line chart, coaxial line chart, multi subgraph, line color block chart, bar chart, box chart) in papers provided by Mi Liang for initial draft, Sun Lin for organizing and beau…
A high-performance, lightweight, and cross-platform QUIC library
Cross-platform, customizable multimedia/video processing framework. With strong GPU acceleration, heterogeneous design, multi-language support, easy to use, multi-framework compatible and high perf…
[MobiSys 2020] Fast and Scalable In-memory Deep Multitask Learning via Neural Weight Virtualization
[MLSys '22 artifact] an incremental x264 video encoder for video analytics
Fluid, elastic data abstraction and acceleration for BigData/AI applications in cloud. (Project under CNCF)
Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
A C++ Background Subtraction Library with wrappers for Python, MATLAB, Java and GUI on QT