Awesome GitHub RepositoriesOpen Set Recognition

Framework for long-tailed recognition in open-world environments.

Generative adversarial network approach for open-set recognition.

Sparse representation-based approach for open-set recognition.

Foundational deep network architecture for open-set recognition.

Temporal action localization framework for open-set video analysis.

Evidential deep learning framework for open-set action recognition.

Hybrid anomaly detection for dense open-set recognition tasks.

Probability models and inclusion-based multi-class open-set classification.

Extreme value theory implementation for open-set classification.

Open category detection with PAC-style theoretical guarantees.

Transfer learning methods for multiple class novelty detection.

Tools for addressing open-set challenges in object detection.

Adversarial reciprocal points learning for robust open-set classification.

Deep learning framework for large-scale open-set logo detection.

Simulator for generating challenging open-set recognition scenarios.

Semi-supervised object detection framework for open-set scenarios.

Adversarial sample generation for open-category classification.

Deep open classification implementation for text documents.

Spatial divide-and-conquer approach for open-set object counting.

Framework for handling classes introduced after initial training.