5 papers
Robust Assamese Speech Recognition through Controlled Fine-Tuning of Whisper Models
Ganapati Das, Dwipen Laskar, Hasin Afzal Ahmed +4
Developing Automatic Speech Recognition (ASR) for morphologically rich, low-resource languages such as Assamese is challenging due to insufficient annotated speech data. The pretra…
Recent Advancements in Microscopy Image Enhancement using Deep Learning: A Survey
Debasish Dutta, Neeharika Sonowal, Risheraj Barauh +2
Microscopy image enhancement plays a pivotal role in understanding the details of biological cells and materials at microscopic scales. In recent years, there has been a significan…
Image Segmentation with transformers: An Overview, Challenges and Future
Deepjyoti Chetia, Debasish Dutta, Sanjib Kr Kalita
Image segmentation, a key task in computer vision, has traditionally relied on convolutional neural networks (CNNs), yet these models struggle with capturing complex spatial depend…
Identification of Traditional Medicinal Plant Leaves Using an effective Deep Learning model and Self-Curated Dataset
Deepjyoti Chetia, Sanjib Kr Kalita, Prof Partha Pratim Baruah +2
Medicinal plants have been a key component in producing traditional and modern medicines, especially in the field of Ayurveda, an ancient Indian medical system. Producing these med…
State-of-the-Art Transformer Models for Image Super-Resolution: Techniques, Challenges, and Applications
Debasish Dutta, Deepjyoti Chetia, Neeharika Sonowal +1
Image Super-Resolution (SR) aims to recover a high-resolution image from its low-resolution counterpart, which has been affected by a specific degradation process. This is achieved…