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However, existing approaches face two critical scalability bottlenecks: (1) they usually require manual annotations of each new clinical site for high accuracy; (2) while multi-camera setups have been widely adopted to address single-view ambiguity, camera calibration is typically required whenever cameras are
from the top result below

Computer Vision and Pattern Recognition

https://arxiv.org/list/cs.CV/new
CV) Recent advances in image generation have demonstrated the potential of unified multimodal models that integrate understanding, generation, and editing

Producing Policy Recommendations: from Statistical Decision Theory to

https://arxiv.org/html/2607.29281v2
The total number of recommendations is 517 across 471 empirical papers, 321 of which have at least one recommendation

\dotsttsfontdots.tts.edit: Precisely Controlled Speech Editing with a

https://arxiv.org/html/2608.02673v1
org perpetual non-exclusive license arXiv:2608

MDGAM-Based Cooperative Task Scheduling for Communication-Constrained

https://arxiv.org/html/2608.00648v1
Learning-based methods have become increasingly effective for solving co (co) problems, especially vrp (vrp)-related variants

You’ve Got to be Efficient: Ambiguity, Misspecification and

https://arxiv.org/html/2604.05327v4
For these problems, it is therefore always optimal for the decision-maker to proceed as if the likelihood were correctly specified and select the resulting optimal decision rule

1 Introduction

https://arxiv.org/html/2506.01844v1
A prominent example of this trend are large language models (LLMs), which have demonstrated performance comparable to the average human in understanding and generating natural language, reasoning over complex topics, and anchoring in knowledge (Brown et al

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https://arxiv.org/src/2211.01910v2
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https://arxiv.org/pdf/2609.18842
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https://arxiv.org/pdf/2006.02318
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https://arxiv.org/pdf/2508.11152
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https://arxiv.org/pdf/2608.02694
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https://arxiv.org/pdf/2506.01844
SmolVLA: A Vision-Language-Action Model for Affordable and Efficient RoboticsMustafa ShukorDana AubakirovaFrancesco CapuanoPepijn KooijmansSteven PalmaAdil ZouitineMichel AractingiCaroline PascalMartino RussiAndres MarafiotiSimon

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https://arxiv.org/pdf/2608.02609
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Numerical Analysis

https://arxiv.org/list/cs.NA/new
NA) Imaging a target sample in near-field scanning optical microscopy (NSOM) is fundamentally limited by measurement artifacts and data contamination from multiple probe-sample scattering

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https://arxiv.org/src/1910.03771
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https://arxiv.org/pdf/2608.02872
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https://arxiv.org/pdf/2006.00064
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https://arxiv.org/pdf/2608.03494
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https://arxiv.org/src/2006.00064
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https://arxiv.org/pdf/2309.08431
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https://arxiv.org/src/2104.08691
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https://arxiv.org/src/2006.02924
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https://arxiv.org/src/2405.20232
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https://arxiv.org/src/2006.03206
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https://arxiv.org/pdf/2608.03118
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https://arxiv.org/pdf/2407.01722
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