Repository Index

OpenMMLab Detection Toolbox and Benchmark

• object-detection
• instance-segmentation
• fast-rcnn
• faster-rcnn

Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

• segmentation
• image-processing
• pspnet
• unet

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

• semantic-segmentation
• pytorch
• pspnet
• deeplabv3

Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.

• semantic-segmentation
• image-segmentation
• image-matting
• interactive-segmentation

Official PyTorch implementation of SegFormer

• semantic-segmentation
• transformer
• ade20k
• cityscapes

Efficient vision foundation models for high-resolution generation and perception.

• high-resolution
• imagenet
• efficientvit
• segment-anything

The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919

• segmentation
• semantic-segmentation
• cityscapes
• pascal-context

This repository includes the official project of TransUNet, presented in our paper: TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.

An open-source project dedicated to tracking and segmenting any objects in videos, either automatically or interactively. The primary algorithms utilized include the Segment Anything Model (SAM) for key-frame segmentation and Associating Objects with Transformers (AOT) for efficient tracking and propagation purposes.

• interactive-segmentation
• segment-anything
• segment-anything-model
• video-object-segmentation

🔥🔥🔥🔥 (Earlier YOLOv7 not official one) YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! 🔥🔥🔥

• yolo
• yolox
• detection
• detextron2

CellViT: Vision Transformers for Precise Cell Segmentation and Classification

• ai
• cell
• digitalpathology
• microscopy