YuChuang1205/PAL

[CVPR 2025] DEIM: DETR with Improved Matching for Fast Convergence

Use DINOv3’s powerful, self-supervised visual features + YOLOv12’s blazing-fast detection, all in one repo. Whether you have only a few hundred labeled images or a medium-sized dataset, DINOV3-YOLOV12 helps you get better detection accuracy — without sacrificing speed. Great for niche domains, small-data projects, or quick prototyping.

A Foundation Model for SAR Target Recognition

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

Repository for "Visible-Thermal Tiny Object Detection: A Benchmark Dataset and Baselines"

[CVPR2026]🚀🚀🚀Official code for the paper "YOLO-Master: MOE-Accelerated with Specialized Transformers for Enhanced Real-time Detection." *(YOLO = You Only Look Once)* 🔥🔥🔥

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.

Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

the official pytorch implementation of “Mamba-YOLO：SSMs-based for Object Detection”