SOTA2 Research · papers

Papers for “semantic segmentation”

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

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20 indexed

Title	Authors	Year	Source
Seeing Beyond the Patch: Scale-Adaptive Semantic Segmentation of High-resolution Remote Sensing Imagery based on Reinforcement Learning	Yinhe Liu, Sunan Shi, Junjue Wang	2023	arxiv 2309.15372
SIP: Site in Pieces- A Dataset of Disaggregated Construction-Phase 3D Scans for Semantic Segmentation and Scene Understanding	Seongyong Kim, Yong Kwon Cho	2025	arxiv 2512.09062
trAIce3D: A Prompt-Driven Transformer Based U-Net for Semantic Segmentation of Microglial Cells from Large-Scale 3D Microscopy Images	MohammadAmin Alamalhoda, Arsalan Firoozi, Alessandro Venturino	2025	arxiv 2507.22635
Mapping horizontal and vertical urban densification in Denmark with Landsat time-series from 1985 to 2018: a semantic segmentation solution	Tzu-Hsin Karen Chen, Chunping Qiu, Michael Schmitt	2020	arxiv 2009.06992
A Sensor Agnostic Domain Generalization Framework for Leveraging Geospatial Foundation Models: Enhancing Semantic Segmentation viaSynergistic Pseudo-Labeling and Generative Learning	Anan Yaghmour, Melba M. Crawford, Saurabh Prasad	2025	arxiv 2505.01558
Semantic Segmentation of Porosity in 4D Spatio-Temporal X-ray \mu CT of Titanium Coated Ni wires using Deep Learning	Pradyumna Elavarthi, Arun Bhattacharjee, Ashley Paz y Puente	2023	arxiv 2306.14039
Application of a semantic segmentation convolutional neural network for accurate automatic detection and mapping of solar photovoltaic arrays in aerial imagery	Joseph Camilo, Rui Wang, Leslie M. Collins	2018	arxiv 1801.04018
W-Net: Dense Semantic Segmentation of Subcutaneous Tissue in Ultrasound Images by Expanding U-Net to Incorporate Ultrasound RF Waveform Data	Gautam Rajendrakumar Gare, Jiayuan Li, Rohan Joshi	2020	arxiv 2008.12413

Transferring learned patterns from ground-based field imagery to predict UAV-based imagery for crop and weed semantic segmentation in precision crop farming	Junfeng Gao, Wenzhi Liao, David Nuyttens	2022	arxiv 2210.11545

A 28nm 0.22{\mu}J/token memory-compute-intensity-aware CNN-Transformer accelerator with hybrid-attention-based layer-fusion and cascaded pruning for semantic-segmentation	Pingcheng Dong, Yonghao Tan, Xuejiao Liu	2025	arxiv 2512.17555