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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| An Interactive Explanatory AI System for Industrial Quality Control |
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| Dennis Müller, Michael März, Stephan Scheele |
| 2022 |
| arxiv 2203.09181 |
| Towards General and Efficient Active Learning | Yichen Xie, Masayoshi Tomizuka, Wei Zhan | 2021 | arxiv 2112.07963 |
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| A Self-Supervised Descriptor for Image Copy Detection | Ed Pizzi, Sreya Dutta Roy, Sugosh Nagavara Ravindra | 2022 | arxiv 2202.10261 |
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| A Simple Baseline for Low-Budget Active Learning | Kossar Pourahmadi, Parsa Nooralinejad, Hamed Pirsiavash | 2021 | arxiv 2110.12033 |
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| Reinforcing Generated Images via Meta-learning for One-Shot Fine-Grained Visual Recognition | Satoshi Tsutsui, Yanwei Fu, David Crandall | 2022 | arxiv 2204.10689 |
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| Detection of Degraded Acacia tree species using deep neural networks on uav drone imagery | Anne Achieng Osio, Hoàng-Ân Lê, Samson Ayugi | 2022 | arxiv 2204.07096 |
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| Edge-PRUNE: Flexible Distributed Deep Learning Inference | Jani Boutellier, Bo Tan, Jari Nurmi | 2022 | arxiv 2204.12947 |
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| Object-wise Masked Autoencoders for Fast Pre-training | Jiantao Wu, Shentong Mo | 2022 | arxiv 2205.14338 |
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| Solving the Spike Feature Information Vanishing Problem in Spiking Deep Q Network with Potential Based Normalization | Yinqian Sun, Yi Zeng, Yang Li | 2022 | arxiv 2206.03654 |
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| Learning to generate imaginary tasks for improving generalization in meta-learning | Yichen Wu, Long-Kai Huang, Ying Wei | 2022 | arxiv 2206.04335 |
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