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pro vyhledávání: '"Wei, Jiwei"'
The rapid growth of model scale has necessitated substantial computational resources for fine-tuning. Existing approach such as Low-Rank Adaptation (LoRA) has sought to address the problem of handling the large updated parameters in full fine-tuning.
Externí odkaz:
http://arxiv.org/abs/2410.13618
Autor:
Sun, Chengwei, Wei, Jiwei, Wu, Yujia, Shi, Yiming, He, Shiyuan, Ma, Zeyu, Xie, Ning, Yang, Yang
Large pre-trained models (LPMs) have demonstrated exceptional performance in diverse natural language processing and computer vision tasks. However, fully fine-tuning these models poses substantial memory challenges, particularly in resource-constrai
Externí odkaz:
http://arxiv.org/abs/2409.05926
Personalized text-to-image generation has gained significant attention for its capability to generate high-fidelity portraits of specific identities conditioned on user-defined prompts. Existing methods typically involve test-time fine-tuning or inst
Externí odkaz:
http://arxiv.org/abs/2408.06740
3D cross-modal retrieval is gaining attention in the multimedia community. Central to this topic is learning a joint embedding space to represent data from different modalities, such as images, 3D point clouds, and polygon meshes, to extract modality
Externí odkaz:
http://arxiv.org/abs/2305.04239
Low-light image enhancement (LLIE) investigates how to improve illumination and produce normal-light images. The majority of existing methods improve low-light images via a global and uniform manner, without taking into account the semantic informati
Externí odkaz:
http://arxiv.org/abs/2304.07039
Zero-Shot Learning has been a highlighted research topic in both vision and language areas. Recently, most existing methods adopt structured knowledge information to model explicit correlations among categories and use deep graph convolutional networ
Externí odkaz:
http://arxiv.org/abs/2212.13151
Cross-modal matching has been a highlighted research topic in both vision and language areas. Learning appropriate mining strategy to sample and weight informative pairs is crucial for the cross-modal matching performance. However, most existing metr
Externí odkaz:
http://arxiv.org/abs/2010.03403
Publikováno v:
In Knowledge-Based Systems 21 June 2023 270
Publikováno v:
In Journal of Visual Communication and Image Representation October 2022 88
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