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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Daniel Bolya, Chaitanya Ryali, Judy Hoffman |
| 2023 |
| arxiv 2311.05613 |
| On the Importance of Large Objects in CNN Based Object Detection Algorithms | Ahmed Ben Saad, Gabriele Facciolo, Axel Davy | 2023 | arxiv 2311.11714 |
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| Pick-a-Pic: An Open Dataset of User Preferences for Text-to-Image Generation | Yuval Kirstain, Adam Polyak, Uriel Singer | 2023 | arxiv 2305.01569 |
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| CLIP-DIY: CLIP Dense Inference Yields Open-Vocabulary Semantic Segmentation For-Free | Monika Wysoczańska, Michaël Ramamonjisoa, Tomasz Trzciński | 2023 | arxiv 2309.14289 |
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| Deconfounded Image Captioning: A Causal Retrospect | Xu Yang, Hanwang Zhang, Jianfei Cai | 2020 | arxiv 2003.03923 |
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| Background Clustering Pre-training for Few-shot Segmentation | Zhimiao Yu, Tiancheng Lin, Yi Xu | 2023 | arxiv 2312.03322 |
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| Few-shot Object Detection with Refined Contrastive Learning | Zeyu Shangguan, Lian Huai, Tong Liu | 2022 | arxiv 2211.13495 |
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| Supervision Interpolation via LossMix: Generalizing Mixup for Object Detection and Beyond | Thanh Vu, Baochen Sun, Bodi Yuan | 2023 | arxiv 2303.10343 |
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| Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval | Hao Li, Jingkuan Song, Lianli Gao | 2023 | arxiv 2309.17093 |
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| Deep Captioning with Multimodal Recurrent Neural Networks (m-RNN) | Junhua Mao, Wei Xu, Yi Yang | 2014 | arxiv 1412.6632 |
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