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 ...

How the brain balances continuity and segmentation

Life doesn't arrive in neat chapters. It flows, one conversation bleeding into the next, one thought quietly reshaping the one that follows. Yet our brains do something remarkable: they preserve a ...
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

Vision model for object detection and segmentation using TENNs State Space Model neural network.

State Space Models (SSMs) are emerging as a practical alternative to transformers, offering similar or better performance with significantly fewer parameters and lower compute requirements. Mamba, the ...