Zobrazeno 1 - 10
of 1 551
pro vyhledávání: '"Wang Qilong"'
Not All Samples Should Be Utilized Equally: Towards Understanding and Improving Dataset Distillation
Dataset Distillation (DD) aims to synthesize a small dataset capable of performing comparably to the original dataset. Despite the success of numerous DD methods, theoretical exploration of this area remains unaddressed. In this paper, we take an ini
Externí odkaz:
http://arxiv.org/abs/2408.12483
Modern consumer cameras commonly employ the rolling shutter (RS) imaging mechanism, via which images are captured by scanning scenes row-by-row, resulting in RS distortion for dynamic scenes. To correct RS distortion, existing methods adopt a fully s
Externí odkaz:
http://arxiv.org/abs/2408.11411
Fine-grained domain generalization (FGDG) is a more challenging task than traditional DG tasks due to its small inter-class variations and relatively large intra-class disparities. When domain distribution changes, the vulnerability of subtle feature
Externí odkaz:
http://arxiv.org/abs/2406.09166
Recently, pre-trained vision-language models (e.g., CLIP) have shown great potential in few-shot learning and attracted a lot of research interest. Although efforts have been made to improve few-shot ability of CLIP, key factors on the effectiveness
Externí odkaz:
http://arxiv.org/abs/2404.08958
Effectively modeling discriminative spatio-temporal information is essential for segmenting activities in long action sequences. However, we observe that existing methods are limited in weak spatio-temporal modeling capability due to two forms of dec
Externí odkaz:
http://arxiv.org/abs/2312.05830
Recently, efficient fine-tuning of large-scale pre-trained models has attracted increasing research interests, where linear probing (LP) as a fundamental module is involved in exploiting the final representations for task-dependent classification. Ho
Externí odkaz:
http://arxiv.org/abs/2307.11342
Few-shot classification is a challenging problem as only very few training examples are given for each new task. One of the effective research lines to address this challenge focuses on learning deep representations driven by a similarity measure bet
Externí odkaz:
http://arxiv.org/abs/2204.04567
Autor:
Liu, Zhe, Wang, Qilong, Chi, Yang, Chen, Rui, Zhao, Lichun, Liu, Zhihui, Zhai, Jianxiu, Li, Sikai, Han, Na, Yin, Jun
Publikováno v:
In Bioorganic Chemistry October 2024 151
Autor:
Sheng, Yingkun, Meng, Guibing, Zhang, Min, Chen, Xiaopeng, Chai, Xin, Yu, Haiyang, Han, Lifeng, Wang, Qilong, Wang, Yuefei, Jiang, Miaomiao
Publikováno v:
In Journal of Ethnopharmacology 10 August 2024 330
Autor:
Shang, Ye, Zhu, Yameng, Zhou, Shuting, Liu, Yang, Wei, Shujie, Zhou, Hong, Jiang, Yongping, Wang, Yuli, Geng, Tong, Wang, Qilong, He, Jun
Publikováno v:
In Journal of Pharmaceutical and Biomedical Analysis 1 January 2025 252