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Open Set Learning

7 papers with code · Miscellaneous

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Large-Scale Long-Tailed Recognition in an Open World

CVPR 2019 zhmiao/OpenLongTailRecognition-OLTR

We define Open Long-Tailed Recognition (OLTR) as learning from such naturally distributed data and optimizing the classification accuracy over a balanced test set which include head, tail, and open classes.

FEW-SHOT LEARNING OPEN SET LEARNING

Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition

28 May 2019MrtnMndt/OCDVAE_ContinualLearning

We introduce a unified probabilistic approach for deep continual learning based on variational Bayesian inference with open set recognition.

AUDIO CLASSIFICATION BAYESIAN INFERENCE OPEN SET LEARNING

Deep CNN-based Multi-task Learning for Open-Set Recognition

7 Mar 2019otkupjnoz/mlosr

We propose a novel deep convolutional neural network (CNN) based multi-task learning approach for open-set visual recognition.

IMAGE CLASSIFICATION MULTI-TASK LEARNING OPEN SET LEARNING

Sparse Representation-based Open Set Recognition

6 May 2017hezhangsprinter/SROSR

We propose a generalized Sparse Representation- based Classification (SRC) algorithm for open set recognition where not all classes presented during testing are known during training.

OBJECT CLASSIFICATION OPEN SET LEARNING

AP18-OLR Challenge: Three Tasks and Their Baselines

2 Jun 2018Rithmax/Sub-band-Envelope-Features-Using-Frequency-Domain-Linear-Prediction

The third oriental language recognition (OLR) challenge AP18-OLR is introduced in this paper, including the data profile, the tasks and the evaluation principles.

OPEN SET LEARNING

Specialized Support Vector Machines for Open-set Recognition

13 Jun 2016pedrormjunior/ssvm-results

Notwithstanding, almost all existing classifiers to date were mostly developed for the closed-set scenario, i. e., the classification setup in which it is assumed that all test samples belong to one of the classes with which the classifier was trained.

OPEN SET LEARNING

Individual common dolphin identification via metric embedding learning

9 Jan 2019omallo/kaggle-whale

Photo-identification (photo-id) of dolphin individuals is a commonly used technique in ecological sciences to monitor state and health of individuals, as well as to study the social structure and distribution of a population.

OPEN SET LEARNING