Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Thapaliya, Safal"'
Vision-Language Models (VLMs) have shown impressive performance in vision tasks, but adapting them to new domains often requires expensive fine-tuning. Prompt tuning techniques, including textual, visual, and multimodal prompting, offer efficient alt
Externí odkaz:
http://arxiv.org/abs/2410.05239
Foundation Vision-Language Models (VLMs) trained using large-scale open-domain images and text pairs have recently been adapted to develop Vision-Language Segmentation Models (VLSMs) that allow providing text prompts during inference to guide image s
Externí odkaz:
http://arxiv.org/abs/2405.06196
Autor:
Adhikari, Rabin, Dhakal, Manish, Thapaliya, Safal, Poudel, Kanchan, Bhandari, Prasiddha, Khanal, Bishesh
Accurate segmentation is essential for echocardiography-based assessment of cardiovascular diseases (CVDs). However, the variability among sonographers and the inherent challenges of ultrasound images hinder precise segmentation. By leveraging the jo
Externí odkaz:
http://arxiv.org/abs/2309.12829
Autor:
Poudel, Kanchan, Dhakal, Manish, Bhandari, Prasiddha, Adhikari, Rabin, Thapaliya, Safal, Khanal, Bishesh
Medical image segmentation allows quantifying target structure size and shape, aiding in disease diagnosis, prognosis, surgery planning, and comprehension.Building upon recent advancements in foundation Vision-Language Models (VLMs) from natural imag
Externí odkaz:
http://arxiv.org/abs/2308.07706
Autor:
Nakarmi, Suprim, Pudasaini, Sanam, Thapaliya, Safal, Upretee, Pratima, Shrestha, Retina, Giri, Basant, Neupane, Bhanu Bhakta, Khanal, Bishesh
Publikováno v:
Machine.Learning.for.Biomedical.Imaging. 2 (2024)
The consumption of microbial-contaminated food and water is responsible for the deaths of millions of people annually. Smartphone-based microscopy systems are portable, low-cost, and more accessible alternatives for the detection of Giardia and Crypt
Externí odkaz:
http://arxiv.org/abs/2304.05339
Autor:
Adhikari, Rabin, Thapaliya, Safal, Basnet, Nirajan, Poudel, Samip, Shakya, Aman, Khanal, Bishesh
Billions of people across the globe have been using social media platforms in their local languages to voice their opinions about the various topics related to the COVID-19 pandemic. Several organizations, including the World Health Organization, hav
Externí odkaz:
http://arxiv.org/abs/2210.05425
Autor:
Rabin Adhikari, Thapaliya, Safal, Basnet, Nirajan, Poudel, Samip, Shakya, Aman, Khanal, Bishesh
Publikováno v:
Rabin Adhikari
Billions of people across the globe have been using social media platforms in their local languages to voice their opinions about the various topics related to the COVID-19 pandemic. Several organizations, including the World Health Organization, hav
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b4bec90f34ec48d8e39fc91d70358a15