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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Adam Breitholtz, Anton Matsson, Fredrik D. Johansson |
| 2023 |
| arxiv 2303.09350 |
| SAG-ViT: A Scale-Aware, High-Fidelity Patching Approach with Graph Attention for Vision Transformers | Shravan Venkatraman, Jaskaran Singh Walia, Joe Dhanith P R | 2024 | arxiv 2411.09420 |
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| T-TAME: Trainable Attention Mechanism for Explaining Convolutional Networks and Vision Transformers | Mariano V. Ntrougkas, Nikolaos Gkalelis, Vasileios Mezaris | 2024 | arxiv 2403.04523 |
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| Test-Time Adaptation of Vision-Language Models for Open-Vocabulary Semantic Segmentation | Mehrdad Noori, David Osowiechi, Gustavo Adolfo Vargas Hakim | 2025 | arxiv 2505.21844 |
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| Mitigating Negative Flips via Margin Preserving Training | Simone Ricci, Niccolò Biondi, Federico Pernici | 2025 | arxiv 2511.08322 |
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| A Relational Model for One-Shot Classification | Arturs Polis, Alexander Ilin | 2021 | arxiv 2111.04313 |
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| Rethinking Layer-wise Feature Amounts in Convolutional Neural Network Architectures | Martin Mundt, Sagnik Majumder, Tobias Weis | 2018 | arxiv 1812.05836 |
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| Test-Time Training with Self-Supervision for Generalization under Distribution Shifts | Yu Sun, Xiaolong Wang, Zhuang Liu | 2019 | arxiv 1909.13231 |
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| Robustness and Overfitting Behavior of Implicit Background Models | Shirley Liu, Charles Lehman, Ghassan AlRegib | 2020 | arxiv 2008.09306 |
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| Using adversarial images to improve outcomes of federated learning for non-IID data | Anastasiya Danilenka, Maria Ganzha, Marcin Paprzycki | 2022 | arxiv 2206.08124 |
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| 2nd Place Solution to Google Universal Image Embedding | Xiaolong Huang, Qiankun Li | 2022 | arxiv 2210.08735 |
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