Kavli Affiliate: Renxin Xu | First 5 Authors: Rodrigo Negreiros, Chen Zhang, Renxin Xu, , | Summary: We study the rotational properties of inverted hybrid stars (also termed cross stars), which have been recently proposed as a possible new class of compact stars characterized by an outer layer of quark matter and a core of […]
Kavli Affiliate: Jing Wang | First 5 Authors: Yilu Wu, Hanlin Wang, Jing Wang, Limin Wang, | Summary: Given the current visual observations, the traditional procedure planning task in instructional videos requires a model to generate goal-directed plans within a given action space. All previous methods for this task conduct training and inference under the […]
Kavli Affiliate: Ke Wang | First 5 Authors: Jiabao Wang, Qiang Meng, Guochao Liu, Liujiang Yan, Ke Wang | Summary: In autonomous driving, the temporal stability of 3D object detection greatly impacts the driving safety. However, the detection stability cannot be accessed by existing metrics such as mAP and MOTA, and consequently is less explored […]
Kavli Affiliate: Li Xin Li | First 5 Authors: Hang Yao, Qiguang Miao, Peipei Zhao, Chaoneng Li, Xin Li | Summary: Different from large-scale classification tasks, fine-grained visual classification is a challenging task due to two critical problems: 1) evident intra-class variances and subtle inter-class differences, and 2) overfitting owing to fewer training samples in […]
Kavli Affiliate: Li Xin Li | First 5 Authors: Hang Yao, Qiguang Miao, Peipei Zhao, Chaoneng Li, Xin Li | Summary: Different from large-scale classification tasks, fine-grained visual classification is a challenging task due to two critical problems: 1) evident intra-class variances and subtle inter-class differences, and 2) overfitting owing to fewer training samples in […]
Kavli Affiliate: Li Xin Li | First 5 Authors: Hang Yao, Qiguang Miao, Peipei Zhao, Chaoneng Li, Xin Li | Summary: Different from large-scale classification tasks, fine-grained visual classification is a challenging task due to two critical problems: 1) evident intra-class variances and subtle inter-class differences, and 2) overfitting owing to fewer training samples in […]
Kavli Affiliate: Li Xin Li | First 5 Authors: Hang Yao, Qiguang Miao, Peipei Zhao, Chaoneng Li, Xin Li | Summary: Different from large-scale classification tasks, fine-grained visual classification is a challenging task due to two critical problems: 1) evident intra-class variances and subtle inter-class differences, and 2) overfitting owing to fewer training samples in […]
Kavli Affiliate: Li Xin Li | First 5 Authors: Hang Yao, Qiguang Miao, Peipei Zhao, Chaoneng Li, Xin Li | Summary: Different from large-scale classification tasks, fine-grained visual classification is a challenging task due to two critical problems: 1) evident intra-class variances and subtle inter-class differences, and 2) overfitting owing to fewer training samples in […]
Kavli Affiliate: Li Xin Li | First 5 Authors: Hang Yao, Qiguang Miao, Peipei Zhao, Chaoneng Li, Xin Li | Summary: Different from large-scale classification tasks, fine-grained visual classification is a challenging task due to two critical problems: 1) evident intra-class variances and subtle inter-class differences, and 2) overfitting owing to fewer training samples in […]
Kavli Affiliate: Li Xin Li | First 5 Authors: Siqi Li, Xin Li, Kunyu Yu, Di Miao, Mingcheng Zhu | Summary: Clinical and biomedical research in low-resource settings often faces significant challenges due to the need for high-quality data with sufficient sample sizes to construct effective models. These constraints hinder robust model training and prompt […]