[ITSC 2022] TJ4DRadSet: A 4D Radar Dataset for Autonomous Driving

The dataset for drone based detection and tracking is released, including both image/video, and annotations.

You like pytorch? You like micrograd? You love tinygrad! ❤️

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

[NeurIPS 2024] Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation

# Historical Flavour Mod

[ICCV 2023] Tracking Anything with Decoupled Video Segmentation

[CVPR 2024 Highlight] Putting the Object Back Into Video Object Segmentation

Code release for "Masked-attention Mask Transformer for Universal Image Segmentation"

The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…

[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation

An official implementation of the Anchor DETR.

[ICLR 2023] Official implementation of the paper "DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection"

[ICCV 2023] DETRs with Collaborative Hybrid Assignments Training

Ultralytics YOLO 🚀

CV-CUDA™ is an open-source, GPU accelerated library for cloud-scale image processing and computer vision.

This repository is an official implementation of the ICCV 2021 paper "Conditional DETR for Fast Training Convergence". (https://arxiv.org/abs/2108.06152)

Toolkit for working with the DOTA aerial object detection dataset

OpenMMLab Rotated Object Detection Toolbox and Benchmark

Deformable DETR: Deformable Transformers for End-to-End Object Detection.

End-to-End Object Detection with Transformers

[VIPriors ICCV Workshop 2023] Pytorch implementation of RV modules and VAE modifications from the paper: "RV-VAE: Integrating Random Variable Algebra into Variational Autoencoders"