Zobrazeno 1 - 10
of 2 580
pro vyhledávání: '"Kumar Nitin"'
Publikováno v:
ICIP 2024
Recent developments in self-supervised learning (SSL) have made it possible to learn data representations without the need for annotations. Inspired by the non-contrastive SSL approach (SimSiam), we introduce a novel framework SIMSAM to compute the S
Externí odkaz:
http://arxiv.org/abs/2406.07986
Autor:
Reddy, Kovvuri Sai Gopal, Saran, Bodduluri, Adityaja, A. Mudit, Shigwan, Saurabh J., Kumar, Nitin
Image segmentation, the process of partitioning an image into meaningful regions, plays a pivotal role in computer vision and medical imaging applications. Unsupervised segmentation, particularly in the absence of labeled data, remains a challenging
Externí odkaz:
http://arxiv.org/abs/2405.06057
Publikováno v:
ITM Web of Conferences, Vol 53, p 02005 (2023)
Deep learning techniques are gradually being utilized in many fields. Healthcare is a field in which deep learning can thrive. The study conducted focuses on using deep learning object detection models to detect dental cavities in an individual’s m
Externí odkaz:
https://doaj.org/article/a86e99ec7f3e4a8e81215697bfa4894c
Autor:
Kumar, Nitin, Manisha
Cancelable Biometric is a challenging research field in which security of an original biometric image is ensured by transforming the original biometric into another irreversible domain. Several approaches have been suggested in literature for generat
Externí odkaz:
http://arxiv.org/abs/2404.16739
Autor:
Manisha, Kumar, Nitin
Cancelable Biometric is repetitive distortion embedded in original Biometric image for keeping it secure from unauthorized access. In this paper, we have generated Cancelable Biometric templates with Reverse Boolean XOR technique. Three different met
Externí odkaz:
http://arxiv.org/abs/2404.15394
Publikováno v:
Soft Matter (2023) 19, 9050-9058
Halloysite nanotubes (HNTs) are naturally occurring clay minerals found in Earth's crust that typically exist in the form of high aspect-ratio nanometers-long rods. Here, we investigate the evaporation-driven self-assembly process of HNTs and show th
Externí odkaz:
http://arxiv.org/abs/2309.11323
Publikováno v:
Eur. Phys. J. E (2024) 47:34
We present a scheme for producing tunable active dynamics in a self-propelled robotic device. The robot moves using the differential drive mechanism where two wheels can vary their instantaneous velocities independently. These velocities are calculat
Externí odkaz:
http://arxiv.org/abs/2306.06609