Aug 13, 2024 · Abstract page for arXiv paper 2408.06927: Breaking Class Barriers: Efficient Dataset Distillation via Inter-Class Feature Compensator.
Sep 23, 2024 · TL;DR: This paper presents Break Class Barriers (BCB), using the Inter-class Feature Compensator (INFER) to overcome class-specific limitations, ...
These class barriers prevent the synthetic data instances from capturing inter-class features that bridge different classes in the original dataset. This ...
Specifically, INFER leverages a Universal Feature Compensator (UFC) to enhance feature integration across classes, enabling the generation of multiple.
To overcome these constraints, this paper presents the Inter-class Feature Compensator (INFER), an innovative distillation approach that transcends the class- ...
Machine Learning on X: "Breaking Class Barriers: Efficient Dataset ...
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Aug 14, 2024 · Breaking Class Barriers: Efficient Dataset Distillation via Inter-Class Feature Compensator. ... Dataset distillation has emerged as a technique ...
Oct 23, 2024 · Introduces an efficient dataset distillation method called "Inter-Class Feature Compensator" (ICFC) to address the class imbalance problem in ...
These class barriers prevent the synthetic data instances from capturing inter-class features that bridge different classes in the original dataset." Principais ...
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[2024.8] Our work “Breaking Class Barriers: Efficient Dataset Distillation via Inter-Class Feature Compensator” is posted online! Paper [2024.7] Our work ...