SOTA2 Research · papers

Papers for “semantic segmentation”

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

Search results

20 indexed

Title	Authors	Year	Source
DentalX: Context-Aware Dental Disease Detection with Radiographs	Zhi Qin Tan, Xiatian Zhu, Owen Addison	2026	arxiv 2601.08797
RECITYGEN -- Interactive and Generative Participatory Urban Design Tool with Latent Diffusion and Segment Anything	Di Mo, Mingyang Sun, Chengxiu Yin	2026	arxiv 2602.07057
VersaViT: Enhancing MLLM Vision Backbones via Task-Guided Optimization	Yikun Liu, Yuan Liu, Shangzhe Di	2026	arxiv 2602.09934
Interpretable Motion-Attentive Maps: Spatio-Temporally Localizing Concepts in Video Diffusion Transformers	Youngjun Jun, Seil Kang, Woojung Han	2026	arxiv 2603.02919
AI Model Modulation with Logits Redistribution	Zihan Wang, Zhongkui Ma, Xinguo Feng	2026	arxiv 2603.12755
Location Is All You Need: Continuous Spatiotemporal Neural Representations of Earth Observation Data	Mojgan Madadikhaljan, Jonathan Prexl, Isabelle Wittmann	2026	arxiv 2604.07092
UniSemAlign: Text-Prototype Alignment with a Foundation Encoder for Semi-Supervised Histopathology Segmentation	Le-Van Thai, Tien Dat Nguyen, Hoai Nhan Pham	2026	arxiv 2604.09169
Cross-Attentive Multiview Fusion of Vision-Language Embeddings	Tomas Berriel Martins, Martin R. Oswald, Javier Civera	2026	arxiv 2604.12551
MixerCA: An Efficient and Accurate Model for High-Performance Hyperspectral Image Classification	Mohammed Q. Alkhatib, Ali Jamali	2026	arxiv 2604.26138
Featurising Pixels from Dynamic 3D Scenes with Linear In-Context Learners

Beyond Standard Benchmarks: A Systematic Audit of Vision-Language Model's Robustness to Natural Semantic Variation Across Diverse Tasks	Jia Chengyu, AprilPyone MaungMaung, Huy H. Nguyen	2026	arxiv 2604.04473