1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CV2023
Task-driven Prompt Evolution for Foundation Models
Rachana Sathish, Rahul Venkataramani, K S Shriram +1
Promptable foundation models, particularly Segment Anything Model (SAM), have emerged as a promising alternative to the traditional task-specific supervised learning for image segm…
cs.CV2016★ 1 cited
Filter sharing: Efficient learning of parameters for volumetric convolutions
Rahul Venkataramani, Sheshadri Thiruvenkadam, Prasad Sudhakar +2
Typical convolutional neural networks (CNNs) have several millions of parameters and require a large amount of annotated data to train them. In medical applications where training…