IEEE

Leveraging Single Positive Class Label Supervision for Weakly Supervised Semantic Segmentation

Abstract: Weakly supervised semantic segmentation (WSSS) aims to reduce the annotation costs of training semantic segmentation networks by leveraging weak supervision. Although class labels are a ...
GitHub

Revisiting Efficient Semantic Segmentation: Learning Offsets for Better Spatial and Class Feature Alignment (ICCV 2025)

This repository contains the official Pytorch implementation of training & evaluation code and the trained models for Offset Learning & OffSeg. Offset Learning —— An efficient plug-and-play semantic ...
IEEE

Optimized Ensemble Learning for Semantic Segmentation of Satellite Imagery Using DeepLabV3+ and UNet With PSO and Cross-Dataset Evaluation

Abstract: Semantic segmentation is critical in remote sensing applications such as urban planning, disaster management, and environmental monitoring. However, segmenting complex satellite images ...
GitHub

Semantic Segmentation Leaderboard #3865

Earlier, at the "Papers with Code" website, I could find the leaderboard for semantic segmentation (e.g., for ADE20K dataset). But, the "Papers with Code" website has disappeared and attempt to go ...
dbta

Using Unified Semantic Layers to Uncover Enterprise Data

Today's enterprises need unified semantic layers that seamlessly connect traditional BI, GenBI applications, and emerging AI workloads. As organizations face challenges in making enterprise data truly ...
Scientific Research Publishing

Xie, E., Wang, W., Yu, Z., et al. (2021) SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers. 35th Conference on Neural Information Processing ...

ABSTRACT: To address the challenges of morphological irregularity and boundary ambiguity in colorectal polyp image segmentation, we propose a Dual-Decoder Pyramid Vision Transformer Network (DDPVT-Net ...