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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Sara Mandelli, Nicolò Bonettini, Paolo Bestagini |
| 2020 |
| arxiv 2009.12088 |
| Transferability Estimation using Bhattacharyya Class Separability | Michal Pándy, Andrea Agostinelli, Jasper Uijlings | 2021 | arxiv 2111.12780 |
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| On the Robustness of Large Multimodal Models Against Image Adversarial Attacks | Xuanming Cui, Alejandro Aparcedo, Young Kyun Jang | 2023 | arxiv 2312.03777 |
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| Evaluation and Comparison of Visual Language Models for Transportation Engineering Problems | Sanjita Prajapati, Tanu Singh, Chinmay Hegde | 2024 | arxiv 2409.02278 |
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| Transferable Learned Image Compression-Resistant Adversarial Perturbations | Yang Sui, Zhuohang Li, Ding Ding | 2024 | arxiv 2401.03115 |
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| Estimating Physical Information Consistency of Channel Data Augmentation for Remote Sensing Images | Tom Burgert, Begüm Demir | 2024 | arxiv 2403.14547 |
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| Language-Guided Transformer for Federated Multi-Label Classification | I-Jieh Liu, Ci-Siang Lin, Fu-En Yang | 2023 | arxiv 2312.07165 |
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| How much data is needed to train a medical image deep learning system to achieve necessary high accuracy? | Junghwan Cho, Kyewook Lee, Ellie Shin | 2015 | arxiv 1511.06348 |
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| ResNet-like Architecture with Low Hardware Requirements | Elena Limonova, Daniil Alfonso, Dmitry Nikolaev | 2020 | arxiv 2009.07190 |
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| Computed tomography using meta-optics | Maksym Zhelyeznuyakov, Johannes E. Fröch, Shane Colburn | 2024 | arxiv 2411.08995 |
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