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Found 3 papers, 1 papers with code
Image-Object-Specific Prompt Learning for Few-Shot Class-Incremental Learning
To create these IOS classifiers, we encode a bias prompt into the classifiers using our specially designed module, which harnesses key-prompt pairs to pinpoint the IOS features of classes in each session.
Balanced Supervised Contrastive Learning for Few-Shot Class-Incremental Learning
Few-shot class-incremental learning (FSCIL) presents the primary challenge of balancing underfitting to a new session's task and forgetting the tasks from previous sessions.
s-DRN: Stabilized Developmental Resonance Network
Online incremental clustering of sequentially incoming data without prior knowledge suffers from changing cluster numbers and tends to fall into local extrema according to given data order.
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