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of 18 409
pro vyhledávání: '"P. Sethi"'
Recent advancements in single image super-resolution have been predominantly driven by token mixers and transformer architectures. WaveMixSR utilized the WaveMix architecture, employing a two-dimensional discrete wavelet transform for spatial token m
Externí odkaz:
http://arxiv.org/abs/2409.10582
Autor:
Sethi, Sayam, Baker, Jonathan M.
Quantum error correction (QEC) is necessary to run large scale quantum programs. Regardless of error correcting code, hardware platform, or systems architecture, QEC systems are limited by the types of gates which they can perform efficiently. In ord
Externí odkaz:
http://arxiv.org/abs/2408.14708
The current standard for detecting human epidermal growth factor receptor 2 (HER2) status in breast cancer patients relies on HER2 amplification, identified through fluorescence in situ hybridization (FISH) or immunohistochemistry (IHC). However, hem
Externí odkaz:
http://arxiv.org/abs/2408.13818
Publikováno v:
In Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies, Volume 1, 2024, ISBN 978-989-758-688-0, ISSN 2184-4305, pp. 244-253
This paper presents a study on few-shot classification in the context of histopathology images. While few-shot learning has been studied for natural image classification, its application to histopathology is relatively unexplored. Given the scarcity
Externí odkaz:
http://arxiv.org/abs/2408.13816
Volunteer crowdsourcing (VCS) leverages citizen interaction to address challenges by utilizing individuals' knowledge and skills. Complex social tasks often require collaboration among volunteers with diverse skill sets, and their willingness to enga
Externí odkaz:
http://arxiv.org/abs/2408.11510
Autor:
Lu, Zhenyu, Sethi, Lakshay
Previous methods for audio-image matching generally fall into one of two categories: pipeline models or End-to-End models. Pipeline models first transcribe speech and then encode the resulting text; End-to-End models encode speech directly. Generally
Externí odkaz:
http://arxiv.org/abs/2408.10383
Classical optimization and learning-based methods are the two reigning paradigms in deformable image registration. While optimization-based methods boast generalizability across modalities and robust performance, learning-based methods promise peak p
Externí odkaz:
http://arxiv.org/abs/2408.05839
In-situ sensing devices need to be deployed in remote environments for long periods of time; minimizing their power consumption is vital for maximising both their operational lifetime and coverage. We introduce Terracorder -- a versatile multi-sensor
Externí odkaz:
http://arxiv.org/abs/2408.02407
One of the few cases of AdS/CFT where both sides of the duality are under good control relates tensionless $k=1$ strings on AdS$_3$ to a two-dimensional symmetric product CFT. Building on prior observations, we propose an exact duality between string
Externí odkaz:
http://arxiv.org/abs/2408.00823
Autor:
Suhail, Pirzada, Sethi, Amit
Neural networks have emerged as powerful tools across various applications, yet their decision-making process often remains opaque, leading to them being perceived as "black boxes." This opacity raises concerns about their interpretability and reliab
Externí odkaz:
http://arxiv.org/abs/2407.18002