Titlebook: PRICAI 2024: Trends in Artificial Intelligence; 21st Pacific Rim Int Rafik Hadfi,Patricia Anthony,Quan Bai Conference proceedings 2025 The

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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

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令人不快

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

FAWN

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

Free-Radical

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

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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

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