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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Benchmarking Robust Self-Supervised Learning Across Diverse Downstream Tasks |
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| Antoni Kowalczuk, Jan Dubiński, Atiyeh Ashari Ghomi |
| 2024 |
| arxiv 2407.12588 |
| Instance Segmentation of Reinforced Concrete Bridges with Synthetic Point Clouds | Asad Ur Rahman, Vedhus Hoskere | 2024 | arxiv 2409.16381 |
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| DenseMTL: Cross-task Attention Mechanism for Dense Multi-task Learning | Ivan Lopes, Tuan-Hung Vu, Raoul de Charette | 2022 | arxiv 2206.08927 |
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| Enhancing Question Answering Precision with Optimized Vector Retrieval and Instructions | Lixiao Yang, Mengyang Xu, Weimao Ke | 2024 | arxiv 2411.01039 |
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| H3O: Hyper-Efficient 3D Occupancy Prediction with Heterogeneous Supervision | Yunxiao Shi, Hong Cai, Amin Ansari | 2025 | arxiv 2503.04059 |
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| Multi-modality Anomaly Segmentation on the Road | Heng Gao, Zhuolin He, Shoumeng Qiu | 2025 | arxiv 2503.17712 |
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| Input Resolution Downsizing as a Compression Technique for Vision Deep Learning Systems | Jeremy Morlier, Mathieu Leonardon, Vincent Gripon | 2025 | arxiv 2504.03749 |
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| PraNet-V2: Dual-Supervised Reverse Attention for Medical Image Segmentation | Bo-Cheng Hu, Ge-Peng Ji, Dian Shao | 2025 | arxiv 2504.10986 |
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| Instance Segmentation for Point Sets | Abhimanyu Talwar, Julien Laasri | 2025 | arxiv 2505.14583 |
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| Enrich the content of the image Using Context-Aware Copy Paste | Qiushi Guo | 2024 | arxiv 2407.08151 |
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