Zobrazeno 1 - 10
of 2 213
pro vyhledávání: '"Lokhande P"'
Deep neural networks (DNNs) offer plenty of challenges in executing efficient computation at edge nodes, primarily due to the huge hardware resource demands. The article proposes HYDRA, hybrid data multiplexing, and runtime layer configurable DNN acc
Externí odkaz:
http://arxiv.org/abs/2409.04976
Publikováno v:
28th International Symposium on VLSI Design and Test (VDAT 2024)
This paper presents the Hybrid Overestimating Approximate Adder designed to enhance the performance in processing engines, specifically focused on edge AI applications. A novel Plus One Adder design is proposed as an incremental adder in the RCA chai
Externí odkaz:
http://arxiv.org/abs/2408.00806
Prompt Tuning has emerged as a prominent research paradigm for adapting vision-language models to various downstream tasks. However, recent research indicates that prompt tuning methods often lead to overfitting due to limited training samples. In th
Externí odkaz:
http://arxiv.org/abs/2407.15894
Publikováno v:
ITM Web of Conferences, Vol 56, p 03005 (2023)
The identification of false information has become a critical concern in the modern era of technology, as the ready availability of information and widespread utilization of social media platforms have accelerated the dissemination of inaccurate news
Externí odkaz:
https://doaj.org/article/8a635f9872c2489ea1c350dd2a513d80
Text-driven image synthesis has made significant advancements with the development of diffusion models, transforming how visual content is generated from text prompts. Despite these advances, text-driven image editing, a key area in computer graphics
Externí odkaz:
http://arxiv.org/abs/2406.00985
Autor:
Mumbare Samruddhi, Shivam Kunal, Lokhande Priyanka, Zaware Samruddhi, Deshpande Varad, Vayadande Kuldeep
Publikováno v:
ITM Web of Conferences, Vol 50, p 01008 (2022)
New technologies emerge in response to the passage of time. Robotic hand gesture control is one of them. Collaboration frameworks based on gestures are becoming increasingly popular in the business and at home. The approach we suggested can greatly r
Externí odkaz:
https://doaj.org/article/d196443719284650b7a9def9ce6e978f
Publikováno v:
International Journal for Simulation and Multidisciplinary Design Optimization, Vol 13, p 11 (2022)
Externí odkaz:
https://doaj.org/article/9ffbb3e1092c49bd9207cb02ddb507ac
Small sample sizes are common in many disciplines, which necessitates pooling roughly similar datasets across multiple institutions to study weak but relevant associations between images and disease outcomes. Such data often manifest shift/imbalance
Externí odkaz:
http://arxiv.org/abs/2403.02598
This compilation of various research paper highlights provides a comprehensive overview of recent developments in super-resolution image and video using deep learning algorithms such as Generative Adversarial Networks. The studies covered in these su
Externí odkaz:
http://arxiv.org/abs/2312.16471
Autor:
Kumbhar, Arti, Chougule, Amruta, Lokhande, Priya, Navaghane, Saloni, Burud, Aditi, Nimbalkar, Saee
Utilizing Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Generative Adversarial Networks (GANs), our system introduces an innovative approach to defect detection in manufacturing. This technology excels in precisely ident
Externí odkaz:
http://arxiv.org/abs/2311.03725