Loading the SOTA2 catalog…
SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Xiaohu Lu, Hayder Radha |
| 2023 |
| arxiv 2309.06528 |
| Divergences in Color Perception between Deep Neural Networks and Humans | Ethan O. Nadler, Elise Darragh-Ford, Bhargav Srinivasa Desikan | 2023 | arxiv 2309.05809 |
|---|
| Basic Thresholding Classification | Mehmet Altan Toksöz | 2017 | arxiv 1712.03217 |
|---|
| Transductive Label Augmentation for Improved Deep Network Learning | Ismail Elezi, Alessandro Torcinovich, Sebastiano Vascon | 2018 | arxiv 1805.10546 |
|---|
| bispectrum: Selective $G$-Bispectra Made Practical | Johan Mathe, Adele Myers, Simon Mataigne | 2026 | arxiv 2605.07270 |
|---|
| Do Generalized-Gamma Scale Mixtures of Normals Fit Large Image Datasets? | Brandon Marks, Yash Dave, Zixun Wang | 2025 | arxiv 2512.17038 |
|---|
| On-board classification of underwater images using hybrid classical-quantum CNN based method | Sreeraj Rajan Warrier, D Sri Harshavardhan Reddy, Sriya Bada | 2024 | arxiv 2404.13130 |
|---|
| In-Context Learning for Wound Classification with Small Multimodal Language Models | George Martvel, Oskar Gustafsson, John Pavia | 2026 | arxiv 2607.18819 |
|---|
| Toward Relative Positional Encoding in Spiking Transformers | Changze Lv, Yansen Wang, Dongqi Han | 2025 | arxiv 2501.16745 |
|---|
| MoMBS: Mixed-order minibatch sampling enhances model training from diverse-quality images | Han Li, Hu Han, S. Kevin Zhou | 2025 | arxiv 2505.18741 |
|---|
| Quantum Neural Networks in Practice: A Comparative Study with Classical Models from Standard Data Sets to Industrial Images | Daniel Basilewitsch, João F. Bravo, Christian Tutschku | 2024 | arxiv 2411.19276 |
|---|