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pro vyhledávání: '"focus d'attention"'
In the realm of Text-Based Person Search (TBPS), mainstream methods aim to explore more efficient interaction frameworks between text descriptions and visual data. However, recent approaches encounter two principal challenges. Firstly, the widely use
Externí odkaz:
http://arxiv.org/abs/2412.15106
Autor:
Tao, Chenxin, Zhu, Xizhou, Su, Shiqian, Lu, Lewei, Tian, Changyao, Luo, Xuan, Huang, Gao, Li, Hongsheng, Qiao, Yu, Zhou, Jie, Dai, Jifeng
Modality differences have led to the development of heterogeneous architectures for vision and language models. While images typically require 2D non-causal modeling, texts utilize 1D causal modeling. This distinction poses significant challenges in
Externí odkaz:
http://arxiv.org/abs/2406.04342
Akademický článek
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Publikováno v:
In Engineering Science and Technology, an International Journal January 2025 61
DETR-like models have significantly boosted the performance of detectors and even outperformed classical convolutional models. However, all tokens are treated equally without discrimination brings a redundant computational burden in the traditional e
Externí odkaz:
http://arxiv.org/abs/2307.12612
Autor:
محمد مرسى متولي1 mohamed.Ibrahim01@fart.bu.edu.eg
Publikováno v:
Current Psychological Studies. Sep2023, Vol. 5 Issue 2, p312-377. 66p.
Professional summaries are written with document-level information, such as the theme of the document, in mind. This is in contrast with most seq2seq decoders which simultaneously learn to focus on salient content, while deciding what to generate, at
Externí odkaz:
http://arxiv.org/abs/2105.11921
Publikováno v:
Journal of Leadership & Organizational Studies. Aug2017, Vol. 24 Issue 3, p335-344. 10p.