Research

Papers for “semantic segmentation”

Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.

Title	Authors	Year	Source
URNet: A Unified Reparameterized Network for Efficient RGB-D Semantic Segmentation	Guoan Xu, Zhengxue Wang, Yang Xiao	2026	arxiv 2608.05671
Uncertainty estimates for semantic segmentation: providing enhanced reliability for automated motor claims handling	Jan Küchler, Daniel Kröll, Sebastian Schoenen	2024	arxiv 2401.09245
Bootstrapped Self-Supervised Training with Monocular Video for Semantic Segmentation and Depth Estimation	Yihao Zhang, John J. Leonard	2021	arxiv 2103.11031
AttendSeg: A Tiny Attention Condenser Neural Network for Semantic Segmentation on the Edge	Xiaoyu Wen, Mahmoud Famouri, Andrew Hryniowski	2021	arxiv 2104.14623
Learning Common and Specific Features for RGB-D Semantic Segmentation with Deconvolutional Networks	Jinghua Wang, Zhenhua Wang, Dacheng Tao	2016	arxiv 1608.01082
Multi-task Learning To Improve Semantic Segmentation Of CBCT Scans Using Image Reconstruction	Maximilian Ernst Tschuchnig, Julia Coste-Marin, Philipp Steininger	2023	arxiv 2312.12990
Continual Semantic Segmentation via Repulsion-Attraction of Sparse and Disentangled Latent Representations	Umberto Michieli, Pietro Zanuttigh	2021	arxiv 2103.06342
ELDA: Using Edges to Have an Edge on Semantic Segmentation Based UDA	Ting-Hsuan Liao, Huang-Ru Liao, Shan-Ya Yang	2022	arxiv 2211.08888
PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation	Yang Zhang, Zixiang Zhou, Philip David	2020	arxiv 2003.14032
DRBANET: A Lightweight Dual-Resolution Network for Semantic Segmentation with Boundary Auxiliary	Linjie Wang, Quan Zhou, Chenfeng Jiang	2021	arxiv 2111.00509
MCFNet: Multi-scale Covariance Feature Fusion Network for Real-time Semantic Segmentation	Xiaojie Fang, Xingguo Song, Xiangyin Meng	2023	arxiv 2312.07207
Learning from Mistakes: Self-Regularizing Hierarchical Representations in Point Cloud Semantic Segmentation	Elena Camuffo, Umberto Michieli, Simone Milani	2023	arxiv 2301.11145
EGIC: Enhanced Low-Bit-Rate Generative Image Compression Guided by Semantic Segmentation	Nikolai Körber, Eduard Kromer, Andreas Siebert	2023	arxiv 2309.03244
Data Quality Aware Approaches for Addressing Model Drift of Semantic Segmentation Models	Samiha Mirza, Vuong D. Nguyen, Pranav Mantini	2024	arxiv 2402.07258
Stronger, Fewer, & Superior: Harnessing Vision Foundation Models for Domain Generalized Semantic Segmentation	Zhixiang Wei, Lin Chen, Yi Jin	2023	arxiv 2312.04265
Exploring Intrinsic Properties of Medical Images for Self-Supervised Binary Semantic Segmentation	Pranav Singh, Jacopo Cirrone	2024	arxiv 2402.02367
Mx2M: Masked Cross-Modality Modeling in Domain Adaptation for 3D Semantic Segmentation	Boxiang Zhang, Zunran Wang, Yonggen Ling	2023	arxiv 2307.04231
ECAP: Extensive Cut-and-Paste Augmentation for Unsupervised Domain Adaptive Semantic Segmentation	Erik Brorsson, Knut \AAkesson, Lennart Svensson	2024	arxiv 2403.03854
Co-SemDepth: Fast Joint Semantic Segmentation and Depth Estimation on Aerial Images	Yara AlaaEldin, Francesca Odone	2025	arxiv 2503.17982
FreeSeg: Free Mask from Interpretable Contrastive Language-Image Pretraining for Semantic Segmentation	Yi Li, Huifeng Yao, Hualiang Wang	2022	arxiv 2209.13558

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