標題: Titlebook: PRICAI 2024: Trends in Artificial Intelligence; 21st Pacific Rim Int Rafik Hadfi,Patricia Anthony,Quan Bai Conference proceedings 2025 The [打印本頁] 作者: BREED 時間: 2025-3-21 18:05
書目名稱PRICAI 2024: Trends in Artificial Intelligence影響因子(影響力)
書目名稱PRICAI 2024: Trends in Artificial Intelligence影響因子(影響力)學科排名
書目名稱PRICAI 2024: Trends in Artificial Intelligence網絡公開度
書目名稱PRICAI 2024: Trends in Artificial Intelligence網絡公開度學科排名
書目名稱PRICAI 2024: Trends in Artificial Intelligence被引頻次
書目名稱PRICAI 2024: Trends in Artificial Intelligence被引頻次學科排名
書目名稱PRICAI 2024: Trends in Artificial Intelligence年度引用
書目名稱PRICAI 2024: Trends in Artificial Intelligence年度引用學科排名
書目名稱PRICAI 2024: Trends in Artificial Intelligence讀者反饋
書目名稱PRICAI 2024: Trends in Artificial Intelligence讀者反饋學科排名
作者: 放棄 時間: 2025-3-21 20:34 作者: BOON 時間: 2025-3-22 01:48
Conference proceedings 2025puter Vision..Part IV:?Computer Vision,?Autonomous Driving,?Agents and Multiagent Systems,?Knowledge Graphs,?Speech Processing,?Optimization..Part V:?Optimization,?General Applications,?Medical Applications,?Theoretical Foundations of AI.作者: 敵意 時間: 2025-3-22 05:42 作者: Euphonious 時間: 2025-3-22 09:00
MLRQA: A Dataset with?Multimodal Logical Reasoning Challengesto encourage the reasoning potential of multimodal large language models (MLLMs). Experimental demonstrate that state-of-the-art GPT-4v performs significantly worse than the human benchmark. Our dataset can also serve as an important benchmark for investigating multimodal logical reasoning in future. The dataset is available at ..作者: CRANK 時間: 2025-3-22 13:59 作者: Processes 時間: 2025-3-22 19:03
Predicting Plain Text Imageability for?Faithful Prompt-Conditional Image Generationalso developed a new visual-text dataset, named Ted1.6k, to facilitate model training and validation. Experiment results demonstrate the effectiveness of the proposed method in promoting prompt-guided image generation.作者: grudging 時間: 2025-3-22 22:51
0302-9743 Artificial Intelligence, PRICAI 2024, held in?Kyoto, Japan, in November 18–24, 2024...The 145 full papers and 35 short papers included in this book were carefully reviewed and selected from 543 submissions.?..The papers are organized in the following topical sections:..Part I:?Machine Learning,?Deep作者: 媽媽不開心 時間: 2025-3-23 04:10
MLRQA: A Dataset with?Multimodal Logical Reasoning Challengesully understanding the content. Multimodal logical reasoning represents a significant research area within logical reasoning and recent methods focus on exploring the capacity of large language models to tackle this task. However, existing multimodal logic reasoning datasets lack rigorous manual val作者: CAND 時間: 2025-3-23 07:24
Fame Bias – Large Language Models Change Their Judgement Depending on?Personal Name analysis tool. It extracts examples from NLI and story cloze task datasets with personal names, replaces them with names of celebrities, ordinary people or mixtures. Results show that altered names significantly influence model assessments, especially with more than two choices, indicating potentia作者: 俗艷 時間: 2025-3-23 11:48 作者: DEBT 時間: 2025-3-23 13:51 作者: gonioscopy 時間: 2025-3-23 19:58 作者: 按等級 時間: 2025-3-23 22:52
Enhancing Parameter-Efficient Transformers with?Contrastive Syntax and?Regularized Dropout for?Neural Machine Translationoaches aim to be parameter-efficient, they often exhibit limited generalization capabilities with fewer parameters and decreased performances in longer sentences. To this end, we propose two methods, .tax-enhanced .ontrastive .earning (Syn-CL) and . divergence-based .egularized .out (JSR-Drop) for t作者: 遺產 時間: 2025-3-24 05:12 作者: 令人不快 時間: 2025-3-24 07:18
GMMotion: Neighborhood Information Matters for?Online Multi-pedestrian Trackingrlap within the field of view, their reduced visible size often leads to lower detection confidence. Existing methods typically categorize detections into high-confidence and low-confidence groups to perform two-stage matching. Given that the appearance features of low-confidence detections are unre作者: FAWN 時間: 2025-3-24 11:32
Predicting Plain Text Imageability for?Faithful Prompt-Conditional Image Generationration of artificial intelligence powered text-to-image generation models, it will likely play an even more significant role in bridging the gap between language and visual representation. Unfortunately, automatically suggesting proper imageable textural prompts from a piece of plain text has scarce作者: Free-Radical 時間: 2025-3-24 17:48
BFNet: A Bi-frequency Fusion Semantic Segmentation Network for High-Resolution Remote Sensing Imagese sensing images typically include large and complex scenes and heterogeneous objects, leading to poor segmentation at the edges of objects, which in turn leads to undesirable segmentation of the whole image. Specifically, current semantic segmentation techniques highlight the superiority of CNNs in作者: 社團 時間: 2025-3-24 20:32
An Improved Model of?Detecting Ground Military Targets from?Horizontal Viewilitary operations. The ability to accurately detect ground targets, especially in long-range battlefield scenarios, is crucial for successful reconnaissance missions. In this paper, we introduced the process for constructing our homemade dataset, which targeted at army vehicles observed from horizo作者: AXIS 時間: 2025-3-24 23:30 作者: Heart-Attack 時間: 2025-3-25 06:16
A Novel Geometric-Encoded and Feature-Fused Model for Pressure Distribution Prediction on Airfoilsl. Existing methods of geometric shape representation commonly require pre-modeled airfoil data or images, which lack flexibility and overlook the potential relationship with the flight state. To address this challenge, we propose a novel Geometric-Encoded and Feature-Fused Model (GEFF), which achie作者: 入會 時間: 2025-3-25 10:16 作者: CHOKE 時間: 2025-3-25 13:57 作者: Melodrama 時間: 2025-3-25 18:58 作者: 光滑 時間: 2025-3-25 23:02
GAMF-Net: A Lightweight Network for?Semantic Segmentation of?Land Cover Recognition in?Open-Pit Coal Mining Areasof land cover mapping in opencast coal mining areas, existing methods face challenges such as extensive computational burden, inadequate accuracy caused by multiscale and boundary blurring. This paper proposes a remote sensing image semantic segmentation network, GAMF-Net, to address these issues. T作者: licence 時間: 2025-3-26 00:43 作者: micronutrients 時間: 2025-3-26 06:34 作者: 潛伏期 時間: 2025-3-26 09:19
PRICAI 2024: Trends in Artificial Intelligence978-981-96-0122-6Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 爵士樂 時間: 2025-3-26 16:03 作者: 先鋒派 時間: 2025-3-26 20:04 作者: machination 時間: 2025-3-26 22:06
Yufeng Chen,Guanghui Yue,Weide Liu,Chenlei Lv,Ruomei Wang,Fan Zhou,Baoquan Zhaoen und unter Hinweis auf bestehende Namens- und Kennzeichenrechte oder auf das Wettbewerbsrecht versuchen, die weitere Nutzung der Domain zu untersagen oder eine Freigabe der Domain zu erreichen. Die Gefahr von Kollisionen ist dabei gerade im weltumspannenden Datennetz des Internet besonders gro?. E作者: Neutral-Spine 時間: 2025-3-27 03:26
Chengkun Diao,Jinyu Shimain-Namen oftmals eine zu geringe Bedeutung beigemessen. Tendenziell ist jedoch zu beobachten, dass die Pr?senz der unternehmenseigenen Internet-Adresse in der Werbung, in der Presse, auf offiziellen Firmendokumenten und auf Produktpackungen zunimmt. Das Firmenimage soll dadurch zeitgem?? und moder作者: 書法 時間: 2025-3-27 06:12
Shiwei Fang,Yu Xiang,Jun Zhang,Wenyong Wangt should benefit from adequate methodologies—during recent years the Agile Modeling Method Engineering (AMME) framework emerged not only to support such fine-tuning but also to enable the evolution of modeling methods in response to changing purposes or shifting specificity needs. To frame this prin作者: BRIBE 時間: 2025-3-27 11:38 作者: rods366 時間: 2025-3-27 17:35
Nguyen-Khang Le,Dieu-Hien Nguyen,Le Minh Nguyeneling Method (ECMM), used to compose the CM. The CM metamodel is presented as the primary input for realizing a DEMO Modeling Tool (DMT), using the ADOxx platform. A fictitious enterprise, concerned with pet sitting services, is used to demonstrate the DMT features.作者: exceed 時間: 2025-3-27 18:44
