SOTA2 Research · papers

Papers for “coco”

Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.

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20 indexed

Title	Authors	Year	Source
Inter-Instance Similarity Modeling for Contrastive Learning	Chengchao Shen, Dawei Liu, Hao Tang	2023	arxiv 2306.12243
Self-Adjusting Weighted Expected Improvement for Bayesian Optimization	Carolin Benjamins, Elena Raponi, Anja Jankovic	2023	arxiv 2306.04262
Distilling Self-Supervised Vision Transformers for Weakly-Supervised Few-Shot Classification & Segmentation	Dahyun Kang, Piotr Koniusz, Minsu Cho	2023	arxiv 2307.03407
Random Boxes Are Open-world Object Detectors	Yanghao Wang, Zhongqi Yue, Xian-Sheng Hua	2023	arxiv 2307.08249
Enhancing Your Trained DETRs with Box Refinement	Yiqun Chen, Qiang Chen, Peize Sun	2023	arxiv 2307.11828
Augmented Box Replay: Overcoming Foreground Shift for Incremental Object Detection	Liu Yuyang, Cong Yang, Goswami Dipam	2023	arxiv 2307.12427
Learning Lightweight Object Detectors via Multi-Teacher Progressive Distillation	Shengcao Cao, Mengtian Li, James Hays	2023	arxiv 2308.09105
SegViTv2: Exploring Efficient and Continual Semantic Segmentation with Plain Vision Transformers	Bowen Zhang, Liyang Liu, Minh Hieu Phan	2023	arxiv 2306.06289
Efficient Adaptive Human-Object Interaction Detection with Concept-guided Memory	Ting Lei, Fabian Caba, Qingchao Chen	2023	arxiv 2309.03696
When Measures are Unreliable: Imperceptible Adversarial Perturbations toward Top-$k$ Multi-Label Learning	Yuchen Sun, Qianqian Xu, Zitai Wang	2023	arxiv 2309.00007