Abstract: This paper focuses on few-shot action recognition (FSAR), where the machine ... To tackle this issue, we propose a novel framework, namely, motion-aware visual-language representation ...

3D self-supervised learning ... representations such as DINOv2 results in enhanced accuracy, emphasizing its capacity to capture distinctive semantic details specific to 3D data. Sonata’s capabilities ...

Despite strong demand for lifelong learning among business school graduates, most alumni are looking beyond their alma maters to meet those needs, according to a new global study. The Alumni ...

SetFit is an efficient and prompt-free framework for few-shot fine-tuning of Sentence Transformers. It achieves high accuracy with little labeled data - for instance, with only 8 labeled examples per ...

@article{wu2024toward, title={Toward Zero-Shot Learning for Visual Dehazing of Urological Surgical Robots}, author={Wu, Renkai and Wang, Xianjin and Liang, Pengchen and Zhang, Zhenyu and Chang, Qing ...

Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX 77843, USA Department of Biomedical Engineering, Sungkyunkwan University, Suwon, South Korea Department of ...

In this direction, lesion detection and segmentation, fine-grained visual classification are involved. In this work, we use large-scale data in base-training and meta-learning ... richer feature ...