Zobrazeno 1 - 10
of 284 590
pro vyhledávání: '"P Lê"'
Autor:
Le, Minh, Luu, Tien Ngoc, The, An Nguyen, Le, Thanh-Thien, Nguyen, Trang, Nguyen, Tung Thanh, Van, Linh Ngo, Nguyen, Thien Huu
To address catastrophic forgetting in Continual Relation Extraction (CRE), many current approaches rely on memory buffers to rehearse previously learned knowledge while acquiring new tasks. Recently, prompt-based methods have emerged as potent altern
Externí odkaz:
http://arxiv.org/abs/2412.08285
Existing Large Vision-Language Models (LVLMs) excel at matching concepts across multi-modal inputs but struggle with compositional concepts and high-level relationships between entities. This paper introduces Progressive multi-granular Vision-Languag
Externí odkaz:
http://arxiv.org/abs/2412.08125
Current video retrieval systems, especially those used in competitions, primarily focus on querying individual keyframes or images rather than encoding an entire clip or video segment. However, queries often describe an action or event over a series
Externí odkaz:
http://arxiv.org/abs/2412.07584
Autor:
Felix-Gonzalez, Daniel, del Mazo-Sevillano, Pablo, Aguado, Alfredo, Roncero, Octavio, Bourlot, Jacques Le, Roueff, Evelyne, Petit, Franck Le, Bron, Emeric
Context. In dffuse interstellar clouds the excitation temperature derived from the lowest levels of H$^+_3$ is systematically lower than that derived from H2. The differences may be attributed to the lack of state-specific formation and destruction r
Externí odkaz:
http://arxiv.org/abs/2412.06697
We propose the joint dynamic power allocation and multi-relay selection for the cohabitation of high-priority military radar and low-priority commercial 5G communication. To improve the 5G network performance, we design the full-duplex underlay cogni
Externí odkaz:
http://arxiv.org/abs/2412.00697
Autor:
Luo, Wenqiang, Keung, Jacky Wai, Yang, Boyang, Ye, He, Goues, Claire Le, Bissyande, Tegawende F., Tian, Haoye, Le, Bach
Software systems have been evolving rapidly and inevitably introducing bugs at an increasing rate, leading to significant losses in resources consumed by software maintenance. Recently, large language models (LLMs) have demonstrated remarkable potent
Externí odkaz:
http://arxiv.org/abs/2412.01072
Recently, deep learning has experienced rapid expansion, contributing significantly to the progress of supervised learning methodologies. However, acquiring labeled data in real-world settings can be costly, labor-intensive, and sometimes scarce. Thi
Externí odkaz:
http://arxiv.org/abs/2411.19143
This paper proposes the possibility of integrating Dynamic Knowledge Graph (DKG) with Software-Defined Networking (SDN). This new approach aims to assist the management and control capabilities of the swarm network. The DKG works as a unified network
Externí odkaz:
http://arxiv.org/abs/2411.19068
Autor:
Shuai, Jiangtao, Baerveldt, Martin, Nguyen-Duc, Manh, Le-Tuan, Anh, Hauswirth, Manfred, Le-Phuoc, Danh
This paper presents a preliminary study of an efficient object tracking approach, comparing the performance of two different 3D point cloud sensory sources: LiDAR and stereo cameras, which have significant price differences. In this preliminary work,
Externí odkaz:
http://arxiv.org/abs/2411.18476
In recent years, deepfakes (DFs) have been utilized for malicious purposes, such as individual impersonation, misinformation spreading, and artists' style imitation, raising questions about ethical and security concerns. However, existing surveys hav
Externí odkaz:
http://arxiv.org/abs/2411.17911