Research

Papers for “semantic segmentation”

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

Title	Authors	Year	Source
Applying ViT in Generalized Few-shot Semantic Segmentation	Liyuan Geng, Jinhong Xia, Yuanhe Guo	2024	arxiv 2408.14957
Small Objects Matters in Weakly-supervised Semantic Segmentation	Cheolhyun Mun, Sanghuk Lee, Youngjung Uh	2023	arxiv 2309.14117
Laplacian Pyramid Reconstruction and Refinement for Semantic Segmentation	Golnaz Ghiasi, Charless C. Fowlkes	2016	arxiv 1605.02264
Self-supervised Augmentation Consistency for Adapting Semantic Segmentation	Nikita Araslanov, Stefan Roth	2021	arxiv 2105.00097
LeMoRe: Learn More Details for Lightweight Semantic Segmentation	Mian Muhammad Naeem Abid, Nancy Mehta, Zongwei Wu	2025	arxiv 2505.23093
Leveraging Out-of-Distribution Unlabeled Images: Semi-Supervised Semantic Segmentation with an Open-Vocabulary Model	Wooseok Shin, Jisu Kang, Hyeonki Jeong	2025	arxiv 2507.03302
Show and Grasp: Few-shot Semantic Segmentation for Robot Grasping through Zero-shot Foundation Models	Leonardo Barcellona, Alberto Bacchin, Matteo Terreran	2024	arxiv 2404.12717
DenseSeg: Joint Learning for Semantic Segmentation and Landmark Detection Using Dense Image-to-Shape Representation	Ron Keuth, Lasse Hansen, Maren Balks	2024	arxiv 2405.19746
Generalized Semantic Segmentation by Self-Supervised Source Domain Projection and Multi-Level Contrastive Learning	Liwei Yang, Xiang Gu, Jian Sun	2023	arxiv 2303.01906
One Thing One Click: A Self-Training Approach for Weakly Supervised 3D Semantic Segmentation	Zhengzhe Liu, Xiaojuan Qi, Chi-Wing Fu	2021	arxiv 2104.02246
HookNet: multi-resolution convolutional neural networks for semantic segmentation in histopathology whole-slide images	Mart van Rijthoven, Maschenka Balkenhol, Karina Siliņa	2020	arxiv 2006.12230
AdaCo: Overcoming Visual Foundation Model Noise in 3D Semantic Segmentation via Adaptive Label Correction	Pufan Zou, Shijia Zhao, Weijie Huang	2024	arxiv 2412.18255
GaIA: Graphical Information Gain based Attention Network for Weakly Supervised Point Cloud Semantic Segmentation	Min Seok Lee, Seok Woo Yang, Sung Won Han	2022	arxiv 2210.01558
Semantic Segmentation under Adverse Conditions: A Weather and Nighttime-aware Synthetic Data-based Approach	Abdulrahman Kerim, Felipe Chamone, Washington Ramos	2022	arxiv 2210.05626
PS^2-Net: A Locally and Globally Aware Network for Point-Based Semantic Segmentation	Na Zhao, Tat-Seng Chua, Gim Hee Lee	2019	arxiv 1908.05425
LogoSP: Local-global Grouping of Superpoints for Unsupervised Semantic Segmentation of 3D Point Clouds	Zihui Zhang, Weisheng Dai, Hongtao Wen	2025	arxiv 2506.07857
No Adaptation Without Observation: Observability-Constrained Test-Time Prompt Tuning for LiDAR Semantic Segmentation	Linlian Jiang, Wentao Ju, Sadman Rakib Pinon	2026	arxiv 2606.30937
Virtual Temporal Samples for Recurrent Neural Networks: applied to semantic segmentation in agriculture	Alireza Ahmadi, Michael Halstead, Chris McCool	2021	arxiv 2106.10118
Importance-Aware Semantic Segmentation with Efficient Pyramidal Context Network for Navigational Assistant Systems	Kaite Xiang, Kaiwei Wang, Kailun Yang	2019	arxiv 1907.11066
RFBNet: Deep Multimodal Networks with Residual Fusion Blocks for RGB-D Semantic Segmentation	Liuyuan Deng, Ming Yang, Tianyi Li	2019	arxiv 1907.00135

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