leohsuofnthu/Tensorflow-YOLACT

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

Code for "Deep Snake for Real-Time Instance Segmentation" CVPR 2020 oral

D-FINE-seg Object Detection and Segmentation Framework (Train, Export, Inference)

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

End-to-End Object Detection with Transformers

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 the model.

PyTorch implementation of YOLOv3, YOLOv3-SPP, and YOLOv3-tiny for real-time object detection with training, validation, inference, and multi-format export.

Add bisenetv2. My implementation of BiSeNet

A distilled Segment Anything (SAM) model capable of running real-time with NVIDIA TensorRT