AlanLuSun/General-Keypoint-Detection

[ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"

UKPGAN: A General Self-Supervised Keypoint Detector (CVPR2022)

SiLK (Simple Learned Keypoint) is a self-supervised deep learning keypoint model.

The repository provides code for running inference and finetuning with the Meta Segment Anything Model 3 (SAM 3), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Allen Institute for AI: WildDet3D: Scaling Promptable 3D Detection in the Wild

End-to-End Object Detection with Transformers

[CVPR2026] Detect Anything via Next Point Prediction

RF-DETR is a real-time object detection and segmentation model architecture developed by Roboflow, SOTA on COCO, designed for fine-tuning. [ICLR 2026]

KeypointNet: A Large-scale 3D Keypoint Dataset Aggregated from Numerous Human Annotations (CVPR2020)