There are 1 repository under open-set-classification topic.
An awesome paper list of Semi-Supervised Learning under realistic settings.
Official PyTorch Repository of "Difficulty-Aware Simulator for Open Set Recognition" (ECCV 2022 Paper)
Official Implementation of "Domain Adaptive Few-Shot Open-Set Learning" in IEEE/CVF International Conference on Computer Vision (ICCV'23)
Building open-set image classification models via thresholding
Constructive categorial grammar supertagging with (pick any of: [heterogeneous | dynamic | attentive | structure-aware]) graph convolutions.
OpenLoss: This repository discloses cost functions designed for open-set classification tasks, namely, Entropic Open-set, ObjectoSphere and Maximal-Entropy Loss.
Accompanying code for the paper On Using Pre-Trained Embeddings for Detecting Anomalous Sounds with Limited Training Data.