wsss

HistoSegNet: Semantic Segmentation of Histological Tissue Type in Whole Slide Images (ICCV 2019)

SAM Enhance Mask Quality for WSSS: This repository provides tools for generating, evaluating, and visualizing enhanced pseudo masks for Weakly Supervised Semantic Segmentation (WSSS) using the Segment Anything Model (SAM).

A Comprehensive Analysis of Weakly-Supervised Semantic Segmentation in Different Image Domains (IJCV submission)

The code and pretrain models of EDAM-WSSS(Embedded Discriminative Attention Mechanism for Weakly Supervised Semantic Segmentation)

WSSS, Spatial-BCE

Overview and short reviews of papers in WSSS for histopathological image

ConStruct: Structural Distillation of Foundation Models for Prototype-Based Weakly Supervised Histopathology Segmentation.ConStruct: Structural Distillation of Foundation Models for Prototype-Based Weakly Supervised Histopathology Segmentation

LPD: Learnable Prototypes with Diversity Regularization for Weakly Supervised Histopathology Segmentation

Commissioned WSSS research with frozen CLIP and DINOv2, disagreement-aware pseudo-mask refinement, and 53.31% mIoU on COCO-Val.