Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Fang, Haoyang"'
Autor:
Tang, Zhiqiang, Fang, Haoyang, Zhou, Su, Yang, Taojiannan, Zhong, Zihan, Hu, Tony, Kirchhoff, Katrin, Karypis, George
AutoGluon-Multimodal (AutoMM) is introduced as an open-source AutoML library designed specifically for multimodal learning. Distinguished by its exceptional ease of use, AutoMM enables fine-tuning of foundation models with just three lines of code. S
Externí odkaz:
http://arxiv.org/abs/2404.16233
The Segment Anything Model (SAM) stands as a foundational framework for image segmentation. While it exhibits remarkable zero-shot generalization in typical scenarios, its advantage diminishes when applied to specialized domains like medical imagery
Externí odkaz:
http://arxiv.org/abs/2401.17868
The substitute-based recommendation is widely used in E-commerce to provide better alternatives to customers. However, existing research typically uses the customer behavior signals like co-view and view-but-purchase-another to capture the substitute
Externí odkaz:
http://arxiv.org/abs/2211.02533
Psychological studies have found that human visual tracking system involves learning, memory, and planning. Despite recent successes, not many works have focused on memory and planning in deep learning based tracking. We are thus interested in memory
Externí odkaz:
http://arxiv.org/abs/1908.00777