Research

Papers for “semantic segmentation”

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

Title	Authors	Year	Source
An Alternative to WSSS? An Empirical Study of the Segment Anything Model (SAM) on Weakly-Supervised Semantic Segmentation Problems	Weixuan Sun, Zheyuan Liu, Yanhao Zhang	2023	arxiv 2305.01586
Doubly Contrastive End-to-End Semantic Segmentation for Autonomous Driving under Adverse Weather	Jongoh Jeong, Jong-Hwan Kim	2022	arxiv 2211.11131
MECPformer: Multi-estimations Complementary Patch with CNN-Transformers for Weakly Supervised Semantic Segmentation	Chunmeng Liu, Guangyao Li, Yao Shen	2023	arxiv 2303.10689
Encoder-decoder semantic segmentation models for electroluminescence images of thin-film photovoltaic modules	Evgenii Sovetkin, Elbert Jan Achterberg, Thomas Weber	2020	arxiv 2010.07556
GETAM: Gradient-weighted Element-wise Transformer Attention Map for Weakly-supervised Semantic segmentation	Weixuan Sun, Jing Zhang, Zheyuan Liu	2021	arxiv 2112.02841
Test-time Contrastive Concepts for Open-world Semantic Segmentation with Vision-Language Models	Monika Wysoczańska, Antonin Vobecky, Amaia Cardiel	2024	arxiv 2407.05061
Mitigating Spurious Correlations in Weakly Supervised Semantic Segmentation via Cross-architecture Consistency Regularization	Zheyuan Zhang, Yen-chia Hsu	2025	arxiv 2507.21959
Localization and Expansion: A Decoupled Framework for Point Cloud Few-shot Semantic Segmentation	Zhaoyang Li, Yuan Wang, Wangkai Li	2024	arxiv 2408.13752
TSLA: A Task-Specific Learning Adaptation for Semantic Segmentation on Autonomous Vehicles Platform	Jun Liu, Zhenglun Kong, Pu Zhao	2025	arxiv 2508.12279
AllSpark: Reborn Labeled Features from Unlabeled in Transformer for Semi-Supervised Semantic Segmentation	Haonan Wang, Qixiang Zhang, Yi Li	2024	arxiv 2403.01818
Accurate and Efficient Event-based Semantic Segmentation Using Adaptive Spiking Encoder-Decoder Network	Rui Zhang, Luziwei Leng, Kaiwei Che	2023	arxiv 2304.11857
PCB-RandNet: Rethinking Random Sampling for LIDAR Semantic Segmentation in Autonomous Driving Scene	XianFeng Han, Huixian Cheng, Hang Jiang	2022	arxiv 2209.13797
Spectral Analysis for Semantic Segmentation with Applications on Feature Truncation and Weak Annotation	Li-Wei Chen, Wei-Chen Chiu, Chin-Tien Wu	2020	arxiv 2012.14123
The Last Mile to Supervised Performance: Semi-Supervised Domain Adaptation for Semantic Segmentation	Daniel Morales-Brotons, Grigorios Chrysos, Stratis Tzoumas	2024	arxiv 2411.18728
Spatial-information Guided Adaptive Context-aware Network for Efficient RGB-D Semantic Segmentation	Yang Zhang, Chenyun Xiong, Junjie Liu	2023	arxiv 2308.06024
Complex Wavelet Mutual Information Loss: A Multi-Scale Loss Function for Semantic Segmentation	Renhao Lu	2025	arxiv 2502.00563
Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP	Zhongxing Xu, Feilong Tang, Zhe Chen	2024	arxiv 2412.19650
Make It Up: Fake Images, Real Gains in Generalized Few-shot Semantic Segmentation	Guohuan Xie, Xin He, Dingying Fan	2026	arxiv 2603.27206
Invascal: Inverse-Vacuity Self-Calibration for Uncertainty-Aware LiDAR Range-View Semantic Segmentation	Kerim Turacan, Hannes Reichert, Andrei Bolandut	2026	arxiv 2606.00069
Fine-Grained Semantic Segmentation of Motion Capture Data using Dilated Temporal Fully-Convolutional Networks	Noshaba Cheema, Somayeh Hosseini, Janis Sprenger	2019	arxiv 1903.00695

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