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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| arxiv 1804.01322 |
| Encoding the latent posterior of Bayesian Neural Networks for uncertainty quantification | Gianni Franchi, Andrei Bursuc, Emanuel Aldea | 2020 | arxiv 2012.02818 |
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| EvidMTL: Evidential Multi-Task Learning for Uncertainty-Aware Semantic Surface Mapping from Monocular RGB Images | Rohit Menon, Nils Dengler, Sicong Pan | 2025 | arxiv 2503.04441 |
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| ArmFormer: Lightweight Transformer Architecture for Real-Time Multi-Class Weapon Segmentation and Classification | Akhila Kambhatla, Taminul Islam, Khaled R Ahmed | 2025 | arxiv 2510.16854 |
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| SemSegBench & DetecBench: Benchmarking Reliability and Generalization Beyond Classification | Shashank Agnihotri, David Schader, Jonas Jakubassa | 2025 | arxiv 2505.18015 |
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| AdaPerceiver: Transformers with Adaptive Width, Depth, and Tokens | Purvish Jajal, Nick John Eliopoulos, Benjamin Shiue-Hal Chou | 2025 | arxiv 2511.18105 |
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| Open Vocabulary Compositional Explanations for Neuron Alignment | Biagio La Rosa, Leilani H. Gilpin | 2025 | arxiv 2511.20931 |
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| Semantic 3D scene segmentation for robotic assembly process execution | Andreas Wiedholz, Stefanie Wucherer, Simon Dietrich | 2023 | arxiv 2303.10930 |
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| Multi-Scale Foreground-Background Confidence for Out-of-Distribution Segmentation | Samuel Marschall, Kira Maag | 2024 | arxiv 2412.16990 |
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| Generalized Zero-Shot Learning for Point Cloud Segmentation with Evidence-Based Dynamic Calibration | Hyeonseok Kim, Byeongkeun Kang, Yeejin Lee | 2025 | arxiv 2509.08280 |
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| Efficient Prediction of Dense Visual Embeddings via Distillation and RGB-D Transformers | Söhnke Benedikt Fischedick, Daniel Seichter, Benedict Stephan | 2026 | arxiv 2601.00359 |
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