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Showing 31035 results for "recognition" in AI & Data Science
AI & Data Science Preprint PDF DOI

AEGIS: A Holistic Benchmark for Evaluating Forensic Analysis of AI-Generated Academic Images

Bo Zhang, Tzu-Yen Ma, Zichen Tang, Junpeng Ding, Zirui Wang, Yizhuo Zhao, Peilin Gao, Zijie Xi, Zixin Ding, Haiyang Sun, Haocheng Gao, Yuan Liu, Liangjia Wang, Yiling Huang, Yujie Wang, Yuyue Zhang, Ronghui Xi, Yuanze Li, Jiacheng Liu, Zhongjun Yang, Haihong E · 2026

We introduce AEGIS, A holistic benchmark for Evaluating forensic analysis of AI-Generated academic ImageS. Compared to existing benchmarks, AEGIS features three key advances: (1) Domain-Specific Compl…

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AI & Data Science Preprint PDF DOI

Action Motifs: Self-Supervised Hierarchical Representation of Human Body Movements

Genki Kinoshita, Shu Nakamura, Ryo Kawahara, Shohei Nobuhara, Yasutomo Kawanishi, Ko Nishino · 2026

Effective human behavior modeling requires a representation of the human body movement that capitalizes on its compositionality. We propose a hierarchical representation consisting of Action Atoms tha…

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AI & Data Science Preprint PDF DOI

Normativity and Productivism: Ableist Intelligence? A Degrowth Analysis of AI Sign Language Translation Tools for Deaf People

Nina Seron-Abouelfadil, Poppy Fynes · 2026

Sign languages, of any geographical or accentual variation, understandably face continuous scrutiny under the ever present popularity of verbal dictation and audism. Through this, many potential probl…

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AI & Data Science Preprint PDF DOI

Characterizing the Consistency of the Emergent Misalignment Persona

Anietta Weckauff, Yuchen Zhang, Maksym Andriushchenko · 2026

Fine-tuning large language models (LLMs) on narrowly misaligned data generalizes to broadly misaligned behavior, a phenomenon termed emergent misalignment (EM). While prior work has found a correlatio…

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AI & Data Science Preprint PDF DOI

AesRM: Improving Video Aesthetics with Expert-Level Feedback

Yujin Han, Yujie Wei, Yefei He, Xinyu Liu, Tianle Li, Zichao Yu, Andi Han, Shiwei Zhang, Tingyu Weng, Difan Zou · 2026

Despite rapid advances in photorealistic video generation, real-world applications such as filmmaking require video aesthetics, e.g., harmonious colors and cinematic lighting, beyond visual fidelity. …

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AI & Data Science Preprint PDF DOI

TopBench: A Benchmark for Implicit Prediction and Reasoning over Tabular Question Answering

An-Yang Ji, Jun-Peng Jiang, De-Chuan Zhan, Han-Jia Ye · 2026

Large Language Models (LLMs) have advanced Table Question Answering, where most queries can be answered by extracting information or simple aggregation. However, a common class of real-world queries i…

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AI & Data Science Preprint PDF DOI

LLMs as ASP Programmers: Self-Correction Enables Task-Agnostic Nonmonotonic Reasoning

Adam Ishay, Joohyung Lee · 2026

Recent large language models (LLMs) have achieved impressive reasoning milestones but continue to struggle with high computational costs, logical inconsistencies, and sharp performance degradation on …

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AI & Data Science Preprint PDF DOI

Taming the Centaur(s) with LAPITHS: a framework for a theoretically grounded interpretation of AI performances

Matteo Da Pelo, Alessio Donvito, Claudio Frongia, Pietro Salis, Antonio Lieto · 2026

We introduce a framework called LAPITHS (Language model Analysis through Paradigm grounded Interpretations of Theses about Human likenesS) and use it to show that several major claims advanced by mode…

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AI & Data Science Preprint PDF DOI

Parameter-Efficient Architectural Modifications for Translation-Invariant CNNs

Nuria Alabau-Bosque, Jorge Vila-Tomas, Paula Dauden-Oliver, Valero Laparra, Jesus Malo · 2026

Convolutional Neural Networks (CNNs) are widely assumed to be translation-invariant, yet standard architectures exhibit a startling fragility: even a single-pixel shift can drastically degrade perform…

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AI & Data Science Preprint PDF DOI

Learning to Reason: Targeted Knowledge Discovery and Fuzzy Logic Update for Robust Image Recognition

Gurucharan Srinivas, Joshua Niemeijer, Frank Koster · 2026

Integrating domain knowledge into deep neural networks is a promising way to improve generalization. Existing methods either encode prior knowledge in the loss function or apply post-processing module…

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AI & Data Science Preprint PDF DOI

Learning from a single labeled face and a stream of unlabeled data

Branislav Kveton, Michal Valko · 2026

Face recognition from a single image per person is a challenging problem because the training sample is extremely small. We consider a variation of this problem. In our problem, we recognize only one …

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AI & Data Science Preprint PDF DOI

Online semi-supervised perception: Real-time learning without explicit feedback

Branislav Kveton, Michal Valko, Matthai Phillipose, Ling Huang · 2026

This paper proposes an algorithm for real-time learning without explicit feedback. The algorithm combines the ideas of semi-supervised learning on graphs and online learning. In particular, it iterati…

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AI & Data Science Preprint PDF DOI

HATS: An Open data set Integrating Human Perception Applied to the Evaluation of Automatic Speech Recognition Metrics

Thibault Baneras Roux, Jane Wottawa, Mickael Rouvier, Teva Merlin, Richard Dufour · 2026

Conventionally, Automatic Speech Recognition (ASR) systems are evaluated on their ability to correctly recognize each word contained in a speech signal. In this context, the word error rate (WER) metr…

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AI & Data Science Preprint PDF DOI

Self-Supervised Learning of Plant Image Representations

Ilyass Moummad, Kawtar Zaher, Herve Goeau, Jean-Christophe Lombardo, Pierre Bonnet, Alexis Joly · 2026

Automated plant recognition plays a crucial role in biodiversity monitoring and conservation, yet current approaches rely heavily on supervised learning, which is limited by the availability of expert…

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AI & Data Science Preprint PDF DOI

Qualitative Evaluation of Language Model Rescoring in Automatic Speech Recognition

Thibault Baneras-Roux, Mickael Rouvier, Jane Wottawa, Richard Dufour · 2026

Evaluating automatic speech recognition (ASR) systems is a classical but difficult and still open problem, which often boils down to focusing only on the word error rate (WER). However, this metric su…

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AI & Data Science Preprint PDF DOI

InteractWeb-Bench: Can Multimodal Agent Escape Blind Execution in Interactive Website Generation?

Qiyao Wang, Haoran Hu, Longze Chen, Hongbo Wang, Hamid Alinejad-Rokny, Yuan Lin, Min Yang · 2026

With the advancement of multimodal large language models (MLLMs) and coding agents, the website development has shifted from manual programming to agent-based project-level code synthesis. Existing be…

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AI & Data Science Preprint PDF DOI

Detecting is Easy, Adapting is Hard: Local Expert Growth for Visual Model-Based Reinforcement Learning under Distribution Shift

Haiyang Zhao · 2026

Visual model-based reinforcement learning (MBRL) agents can perform well on the training distribution, but often break down once the test environment shifts. In visual MBRL, recognizing that a shift h…

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AI & Data Science Preprint PDF DOI

VeraRetouch: A Lightweight Fully Differentiable Framework for Multi-Task Reasoning Photo Retouching

Yihong Guo, Youwei Lyu, Jiajun Tang, Yizhuo Zhou, Hongliang Wang, Jinwei Chen, Changqing Zou, Qingnan Fan · 2026

Reasoning photo retouching has gained significant traction, requiring models to analyze image defects, give reasoning processes, and execute precise retouching enhancements. However, existing approach…

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AI & Data Science Preprint PDF DOI

Measurement Risk in Supervised Financial NLP: Rubric and Metric Sensitivity on JF-ICR

Sidi Chang, Peiying Zhu, Yuxiao Chen, Rongdong Chai · 2026

As LLMs become credible readers of earnings calls, investor-relations Q\&A, guidance, and disclosure language, supervised financial NLP benchmarks increasingly function as decision evidence for model …

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AI & Data Science Preprint PDF DOI

CasLayout: Cascaded 3D Layout Diffusion for Indoor Scene Synthesis with Implicit Relation Modeling

Yingrui Wu, Youkang Kong, Mingyang Zhao, Weize Quan, Dong-Ming Yan, Yang Liu · 2026

Synthesizing realistic 3D indoor scenes remains challenging due to data scarcity and the difficulty of simultaneously enforcing global architectural constraints and local semantic consistency. Existin…

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