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
Domain Stylization: A Strong, Simple Baseline for Synthetic to Real Image Domain Adaptation	Aysegul Dundar, Ming-Yu Liu, Ting-Chun Wang	2018	arxiv 1807.09384
Stereo 3D Object Trajectory Reconstruction	Sebastian Bullinger, Christoph Bodensteiner, Michael Arens	2018	arxiv 1808.09297
Predicting Future Instance Segmentation by Forecasting Convolutional Features	Pauline Luc, Camille Couprie, Yann LeCun	2018	arxiv 1803.11496
Cosmic Background Removal with Deep Neural Networks in SBND	SBND Collaboration: R. Acciarri, C. Adams, C. Andreopoulos	2020	arxiv 2012.01301
The Bearable Lightness of Big Data: Towards Massive Public Datasets in Scientific Machine Learning	Wai Tong Chung, Ki Sung Jung, Jacqueline H. Chen	2022	arxiv 2207.12546
CheXseg: Combining Expert Annotations with DNN-generated Saliency Maps for X-ray Segmentation	Soham Gadgil, Mark Endo, Emily Wen	2021	arxiv 2102.10484
Rank-Aware Quantile Activation for Motion-Robust Crop Segmentation in UAV Imagery	Abinav Kiran, Sravan Danda, Aditya Challa	2026	arxiv 2606.01118
Geometric Flood Depth Estimation: Fusing Transformer-Based Segmentation with Digital Elevation Models	Nhut Le, Ehsan Karimi, Maryam Rahnemoonfar	2026	arxiv 2605.08521
PanoSAMic: Panoramic Image Segmentation from SAM Feature Encoding and Dual View Fusion	Mahdi Chamseddine, Didier Stricker, Jason Rambach	2026	arxiv 2601.07447
Seeing Through Clutter: Structured 3D Scene Reconstruction via Iterative Object Removal