[ICML 2024] Learning Adaptive and View-Invariant Vision Transformer for Real-Time UAV Tracking

Model Quantization Benchmark

Alignment-Free RGB-T Salient Object Detection: A Large-scale Dataset and Progressive Correlation Network

Official Implementation of OneNet

Mooncake is the serving platform for Kimi, a leading LLM service provided by Moonshot AI.

Run your own AI cluster at home with everyday devices 📱💻 🖥️⌚

Official repository of "SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory"

Python Single Object Tracking Evaluation

CVPR2020 Oral && Best Paper Nomination

STMTrack: Template-free Visual Tracking with Space-time Memory Networks

[ECCVW2020] Robust Long-Term Object Tracking via Improved Discriminative Model Prediction (RLT-DiMP)

ONNX-compatible LightGlue: Local Feature Matching at Light Speed. Supports TensorRT, OpenVINO

Fast Optical Flow using Dense Inverse Search (DIS)

About the repo for paper: HF-HRNet: A Simple Hardware Friendly High-Resolution Network.

[CVPR 2024] Official RT-DETR (RTDETR paddle pytorch), Real-Time DEtection TRansformer, DETRs Beat YOLOs on Real-time Object Detection. 🔥 🔥 🔥

🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support

A high-quality tool for convert PDF to Markdown and JSON.一站式开源高质量数据提取工具，将PDF转换成Markdown和JSON格式。

Run macOS VM in a Docker! Run near native OSX-KVM in Docker! X11 Forwarding! CI/CD for OS X Security Research! Docker mac Containers.

c++网络库

CoTracker is a model for tracking any point (pixel) on a video.

Dense Optical Tracking: Connecting the Dots

[CVPR 2024] Unified Multi-Sensor Tracker With One Parameter Set

High-resolution models for human tasks.

✈️ uav companion software ✈️

OpenHD

Self-labelling via simultaneous clustering and representation learning. (ICLR 2020)

🚀 AirVO upgrades to AirSLAM [TRO]🚀

Implementation of XFeat (CVPR 2024). Do you need robust and fast local feature extraction? You are in the right place!