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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Visual RAG: Expanding MLLM visual knowledge without fine-tuning |
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| Mirco Bonomo, Simone Bianco |
| 2025 |
| arxiv 2501.10834 |
| BottleFit: Learning Compressed Representations in Deep Neural Networks for Effective and Efficient Split Computing | Yoshitomo Matsubara, Davide Callegaro, Sameer Singh | 2022 | arxiv 2201.02693 |
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| Deep Reinforcement Learning using Capsules in Advanced Game Environments | Per-Arne Andersen | 2018 | arxiv 1801.09597 |
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| Identification of Seed Cells in Multispectral Images for GrowCut Segmentation | Wuilan Torres, Antonio Rueda-Toicen | 2018 | arxiv 1801.05525 |
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| Automated identification of hookahs (waterpipes) on Instagram: an application in feature extraction using Convolutional Neural Network and Support Vector Machine classification | Youshan Zhang, Jon-Patrick Allem, Jennifer B. Unger | 2018 | arxiv 1810.08881 |
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| Transfer learning for galaxy feature detection: Finding Giant Star-forming Clumps in low redshift galaxies using Faster R-CNN | Jürgen Popp, Hugh Dickinson, Stephen Serjeant | 2023 | arxiv 2312.03503 |
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| Point Transformer | Hengshuang Zhao, Li Jiang, Jiaya Jia | 2020 | arxiv 2012.09164 |
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| Segmentation of Roads in Satellite Images using specially modified U-Net CNNs | Jonas Bokstaller, Yihang She, Zhehan Fu | 2021 | arxiv 2109.14671 |
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| DFTS2: Simulating Deep Feature Transmission Over Packet Loss Channels | Ashiv Dhondea, Robert A. Cohen, Ivan V. Bajić | 2021 | arxiv 2112.00794 |
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| Multimodal Representation Learning via Maximization of Local Mutual Information | Ruizhi Liao, Daniel Moyer, Miriam Cha | 2021 | arxiv 2103.04537 |
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| Optimal Complexity in Decentralized Training | Yucheng Lu, Christopher De Sa | 2020 | arxiv 2006.08085 |
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