Results 101 to 110 of about 24,451 (274)
Detailed Image Captioning and Hashtag Generation
This article presents CapFlow, an integrated approach to detailed image captioning and hashtag generation. Based on a thorough performance evaluation, the image captioning model utilizes a fine-tuned vision-language model with Low-Rank Adaptation (LoRA),
Nikshep Shetty, Yongmin Li
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The energetic offset between the donor and the acceptor components in organic photoactive layers is central to the tradeoff between photovoltage and photocurrent losses. This Perspective covers the most important issues surrounding this topic in non‐fullerene acceptor blends, from the difficulty of accurately determining state energies and driving ...
Dieter Neher, Manasi Pranav
wiley +1 more source
In recent years, the biggest advances in major Computer Vision tasks, such as object recognition, handwritten-digit identification, facial recognition, and many others., have all come through the use of Convolutional Neural Networks (CNNs). Similarly, in the domain of Natural Language Processing, Recurrent Neural Networks (RNNs), and Long Short Term ...
Tan, Elaina, Sharma, Lakshay
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Weakly Supervised Captioning of Ultrasound Images
Medical image captioning models generate text to describe the semantic contents of an image, aiding the non-experts in understanding and interpretation. We propose a weakly-supervised approach to improve the performance of image captioning models on small image-text datasets by leveraging a large anatomically-labelled image classification dataset.
Alsharid, M +4 more
openaire +3 more sources
Liquids as Reinforcements for Anisotropic and Tough Soft Matter Composites
Liquid metal droplets are shaped and oriented within soft elastomers to create all‐soft matter composites with programmable mechanical anisotropy. These liquid inclusions act as fiber‐like reinforcements, enabling directional stiffness, enhanced toughness, and controlled crack steering under extreme deformation, offering new routes to resilient soft ...
Gwyneth M. Schloer +5 more
wiley +1 more source
NuCap: A Numerically Aware Captioning Framework for Improved Numerical Reasoning
Despite advances in image captioning, existing models struggle to generate captions that include accurate numerical information, especially the number of objects.
Yuna Jeong, Yongsuk Choi
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Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback
BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat +4 more
wiley +1 more source
Tiny TR-CAP: A novel small-scale benchmark dataset for general-purpose image captioning tasks
In the last decade, the outstanding performance of deep learning has also led to a rapid and inevitable rise in automatic image captioning, as well as the need for large amounts of data.
Abbas Memiş, Serdar Yıldız
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This work develops dynamically softening polyacrylamide hydrogels for time‐resolved imaging during continuous mechanical transitions. The study revealed that mechanotransduction is biphasic; YAP/TAZ inactivation is driven by early loss of the nucleocytoskeletal continuum connecting subnuclear adhesions, F‐actin, and the nuclear envelope, coupled with ...
Alessandro Gandin +12 more
wiley +1 more source
Integrating Abstract Meaning Representation to Enhance Transformer-Based Image Captioning
Although recent image captioning models have achieved substantial progress, they still encounter limitations in capturing abstract semantics, resulting in insufficient semantic depth and limited diversity in expression.
Nguyen Van Thinh +2 more
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