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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| 2022 |
| arxiv 2202.08985 |
| Access Control of Object Detection Models Using Encrypted Feature Maps | Teru Nagamori, Hiroki Ito, April Pyone Maung Maung | 2022 | arxiv 2202.00265 |
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| Should Adversarial Attacks Use Pixel p-Norm? | Ayon Sen, Xiaojin Zhu, Liam Marshall | 2019 | arxiv 1906.02439 |
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| Train and Deploy an Image Classifier for Disaster Response | Jianyu Mao, Kiana Harris, Nae-Rong Chang | 2020 | arxiv 2005.05495 |
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| Non-Negative Networks Against Adversarial Attacks | William Fleshman, Edward Raff, Jared Sylvester | 2018 | arxiv 1806.06108 |
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| Optimizing Convolutional Neural Networks for Embedded Systems by Means of Neuroevolution | Filip Badan, Lukas Sekanina | 2019 | arxiv 1910.06854 |
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| Block-wise Scrambled Image Recognition Using Adaptation Network | Koki Madono, Masayuki Tanaka, Masaki Onishi | 2020 | arxiv 2001.07761 |
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| Fusing image representations for classification using support vector machines | Can Demirkesen, Hocine Cherifi | 2012 | arxiv 1207.3607 |
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| Using mixup as regularization and tuning hyper-parameters for ResNets | Venkata Bhanu Teja Pallakonda | 2021 | arxiv 2111.11616 |
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| An empirical study of the relation between network architecture and complexity | Emir Konuk, Kevin Smith | 2019 | arxiv 1911.04120 |
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| Classifying Images with CoLaNET Spiking Neural Network -- the MNIST Example | Mikhail Kiselev | 2024 | arxiv 2409.07833 |
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