Zobrazeno 1 - 10
of 1 438
pro vyhledávání: '"Wang Qilong"'
Autor:
Wang Xingchao, Chen Lin, Wang Qilong, He Jianli, Tian li Liping, Tian Jinshou, Shen Lingbin, Wang Yunji
Publikováno v:
Measurement Science Review, Vol 22, Iss 5, Pp 241-245 (2022)
The electron collection efficiency (CE) of the photomultiplier tube based on microchannel plates (MCP-PMT) is limited by the MCP open area fraction. Coating MCP with a high secondary yield material is supposed to be an effective approach to improve C
Externí odkaz:
https://doaj.org/article/32fd6d2737b8473ab1d8a95d21bb35ed
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
Publikováno v:
China Foundry, Vol 7, Iss 1, Pp 6-12 (2010)
The differences of the microstructure and mechanical property between metal mould and sand mould cast Mg-10Gd-3Y-Zr alloy were investigated both under as-cast condition and after solution heat treatment. In the as-cast specimens, the microstructure i
Externí odkaz:
https://doaj.org/article/a6ebdca5e7f14558bf9f6ddf13938346
Publikováno v:
MATEC Web of Conferences, Vol 128, p 04016 (2017)
On CMP, programs commonly interference with each other. But for programs co-running on CMP, serious performance dropdown is not expected. With the growth of the program’s size, program’s contention for limited shared resources in the system will
Externí odkaz:
https://doaj.org/article/e579cddeef674f25bda5e299d932f332
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