open-set classification
14 papers with code • 0 benchmarks • 1 datasets
Benchmarks
These leaderboards are used to track progress in open-set classification
Most implemented papers
Robust open-set classification for encrypted traffic fingerprinting
First, we show that a well-regularized deep learning model improves the open-set classification and then we propose a novel open-set classification method with three variants that perform consistently over multiple datasets.
IOMatch: Simplifying Open-Set Semi-Supervised Learning with Joint Inliers and Outliers Utilization
Semi-supervised learning (SSL) aims to leverage massive unlabeled data when labels are expensive to obtain.
Open-Set Face Recognition with Maximal Entropy and Objectosphere Loss
MEL modifies the traditional Cross-Entropy loss in favor of increasing the entropy for negative samples and attaches a penalty to known target classes in pursuance of gallery specialization.
Infinite dSprites for Disentangled Continual Learning: Separating Memory Edits from Generalization
In a simple setting with direct supervision on the generative factors, we show how learning class-agnostic transformations offers a way to circumvent catastrophic forgetting and improve classification accuracy over time.