1 citations · 1 across the 5 of their papers we have counts for
5 papers
Geometric Coastline Localization using Vision-Language Models
Rafia Malik, Bernhard Pfahringer, Karin Bryan +2
Coastline detection in remotely sensed imagery is commonly formulated as pixel-wise segmentation, even though coastlines used in coastal monitoring are ultimately represented as ge…
Policy Gradient with Adaptive Entropy Annealing for Continual Fine-Tuning
Yaqian Zhang, Bernhard Pfahringer, Eibe Frank +1
Despite their success, large pretrained vision models remain vulnerable to catastrophic forgetting when adapted to new tasks in class-incremental settings. Parameter-efficient fine…
Few-shot Classification as Multi-instance Verification: Effective Backbone-agnostic Transfer across Domains
Xin Xu, Eibe Frank, Geoffrey Holmes
We investigate cross-domain few-shot learning under the constraint that fine-tuning of backbones (i.e., feature extractors) is impossible or infeasible---a scenario that is increas…
Multiple Instance Verification
Xin Xu, Eibe Frank, Geoffrey Holmes
We explore multiple instance verification, a problem setting in which a query instance is verified against a bag of target instances with heterogeneous, unknown relevancy. We show…
Feature Extractor Stacking for Cross-domain Few-shot Learning
Hongyu Wang, Eibe Frank, Bernhard Pfahringer +2
Cross-domain few-shot learning (CDFSL) addresses learning problems where knowledge needs to be transferred from one or more source domains into an instance-scarce target domain wit…