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arXiv:2602.21698v1 Announce Type: new Abstract: Generative AI is widely used to create commercial posters. However, rapid advances in generation have outpaced automated quality assessment. Existing...
arXiv:2602.21699v1 Announce Type: new Abstract: Scene flow estimation is an extremely important task in computer vision to support the perception of dynamic changes in the...
arXiv:2602.21700v1 Announce Type: new Abstract: The maximal biclique enumeration problem in bipartite graphs is fundamental and has numerous applications in E-commerce and transaction networks. Most...
arXiv:2602.21701v1 Announce Type: new Abstract: A central challenge in scientific machine learning (ML) is the correct representation of physical systems governed by multi-regime behaviours. In...
arXiv:2602.21702v1 Announce Type: new Abstract: This paper introduces the Half Pound Filter (HPF) as a modification of the 1 Euro Filter (1EF) and algorithms for...
arXiv:2602.21703v1 Announce Type: new Abstract: A U-Net based deep learning architecture is designed to segment brain tumors as they appear on various MRI modalities. Special...
arXiv:2602.21704v1 Announce Type: new Abstract: Large Vision-Language Models (LVLMs) exhibit outstanding performance on vision-language tasks but struggle with hallucination problems. Through in-depth analysis of LVLM...
arXiv:2602.21706v1 Announce Type: new Abstract: Minimally invasive surgery has dramatically improved patient operative outcomes, yet identifying safe operative zones remains challenging in critical phases, requiring...
arXiv:2602.21709v1 Announce Type: new Abstract: Accurate forest stand delineation is essential for forest inventory and management but remains a largely manual and subjective process. A...
arXiv:2602.21712v1 Announce Type: new Abstract: Tooth image segmentation is a cornerstone of dental digitization. However, traditional image encoders relying on fixed-resolution feature maps often lead...
arXiv:2602.21715v1 Announce Type: new Abstract: The growing integration of distributed photovoltaics (PVs) into active distribution networks (ADNs) has exacerbated operational challenges, making it imperative to...
arXiv:2602.21716v1 Announce Type: new Abstract: Rapid advances in AI-generated image (AIGI) technology enable highly realistic synthesis, threatening public information integrity and security. Recent studies have...
arXiv:2602.21717v1 Announce Type: new Abstract: Tabular data is the primary data format in industrial relational databases, underpinning modern data analytics and decision-making. However, the increasing...
arXiv:2602.21720v1 Announce Type: new Abstract: Human recursive numeral systems (i.e., counting systems such as English base-10 numerals), like many other grammatical systems, are highly regular....
arXiv:2602.21721v1 Announce Type: new Abstract: Cross-silo federated learning allows multiple organizations to collaboratively train machine learning models without sharing raw data, but client updates can...
arXiv:2602.21722v1 Announce Type: new Abstract: Extensive-form games (EFGs) provide a powerful framework for modeling sequential decision making, capturing strategic interaction under imperfect information, chance events,...
arXiv:2602.21723v1 Announce Type: new Abstract: Humanoid robots that autonomously interact with physical environments over extended horizons represent a central goal of embodied intelligence. Existing approaches...
arXiv:2602.21728v1 Announce Type: new Abstract: The reasoning process of Large Language Models (LLMs) is often plagued by hallucinations and missing facts in question-answering tasks. A...
arXiv:2602.21730v1 Announce Type: new Abstract: Lamport's 1978 paper introduced the happens-before relation and logical clocks, freeing distributed systems from dependence on synchronized physical clocks. This...
arXiv:2602.21734v1 Announce Type: new Abstract: Prototyping plays a critical role in the development of machine learning (ML) solutions, yet existing tools often provide limited support...
arXiv:2602.21735v1 Announce Type: new Abstract: Large-scale, volumetric medical imaging datasets typically aggregate scans from different vendors and devices, resulting in highly variable resolution, slice thicknesses,...
arXiv:2602.21736v1 Announce Type: new Abstract: Despite progress, Vision-Language-Action models (VLAs) are limited by a scarcity of large-scale, diverse robot data. While human manipulation videos offer...
arXiv:2602.21737v1 Announce Type: new Abstract: This paper concerns the Minimal Internet Key Exchange (IKE) protocol, which has received little attention to date, despite its potential...
arXiv:2602.21738v1 Announce Type: new Abstract: We address the synchronization problem in open multi-agent systems (OMAS) containing both cooperative and antagonistic interactions. In these systems, agents...