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

M2CNet: LiDAR 3D Semantic Segmentation Based on Multi-Level Multi-View Cross-Attention Fusion for Autonomous Vehicles

Abstract: Light Detection and Ranging (LiDAR) point cloud semantic segmentation is an essential task for autonomous vehicles, enabling precise environment perception for safe navigation. Existing ...