156 citations · 156 across the 3 of their papers we have counts for
5 papers · 1 filter
LoRA-X: Bridging Foundation Models with Training-Free Cross-Model Adaptation
Farzad Farhadzadeh, Debasmit Das, Shubhankar Borse +1
The rising popularity of large foundation models has led to a heightened demand for parameter-efficient fine-tuning methods, such as Low-Rank Adaptation (LoRA), which offer perform…
Panoptic, Instance and Semantic Relations: A Relational Context Encoder to Enhance Panoptic Segmentation
Shubhankar Borse, Hyojin Park, Hong Cai +3
This paper presents a novel framework to integrate both semantic and instance contexts for panoptic segmentation. In existing works, it is common to use a shared backbone to extrac…
Few-shot Image Recognition with Manifolds
Debasmit Das, J. H. Moon, C. S. George Lee
In this paper, we extend the traditional few-shot learning (FSL) problem to the situation when the source-domain data is not accessible but only high-level information in the form…
Zero-shot Image Recognition Using Relational Matching, Adaptation and Calibration
Debasmit Das, C. S. George Lee
Zero-shot learning (ZSL) for image classification focuses on recognizing novel categories that have no labeled data available for training. The learning is generally carried out wi…
Unsupervised Domain Adaptation using Regularized Hyper-graph Matching
Debasmit Das, C. S. George Lee
Domain adaptation (DA) addresses the real-world image classification problem of discrepancy between training (source) and testing (target) data distributions. We propose an unsuper…