Search Results for author:
Found 5 papers, 0 papers with code
Feature Transformers: A Unified Representation Learning Framework for Lifelong Learning
Despite the recent advances in representation learning, lifelong learning continues to be one of the most challenging and unconquered problems.
Task-driven Prompt Evolution for Foundation Models
In this work, we propose a plug-and-play Prompt Optimization Technique for foundation models like SAM (SAMPOT) that utilizes the downstream segmentation task to optimize the human-provided prompt to obtain improved performance.
Understanding the Mechanisms of Deep Transfer Learning for Medical Images
In this paper, we systematically investigate the process of transferring a Convolutional Neural Network, trained on ImageNet images to perform image classification, to kidney detection problem in ultrasound images.
Filter sharing: Efficient learning of parameters for volumetric convolutions
Typical convolutional neural networks (CNNs) have several millions of parameters and require a large amount of annotated data to train them.
Compressive Imaging and Characterization of Sparse Light Deflection Maps
This compressive characterization is then confirmed with experimental results on simple plano-convex and multifocal intra-ocular lenses studying the evolution of the main deflection as a function of the object point location.
