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Multi-stage Deep Classifier Cascades for Open World Recognition
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-319-45823-6_67openalex-snapshot
A Hybrid Autoencoder and Density Estimation Model for Anomaly Detection
inferredcites →https://doi.org/10.1007/978-3-540-88693-8_35openalex-snapshot
Constructing Category Hierarchies for Visual Recognition
inferredcites →https://doi.org/10.1016/j.measurement.2016.07.054openalex-snapshot
Hierarchical adaptive deep convolution neural network and its application to bearing fault diagnosis
inferredcites →https://doi.org/10.1093/emboj/19.1.94openalex-snapshot
Recognition of the polyubiquitin proteolytic signal
inferredcites →https://doi.org/10.1109/cvpr.2008.4587616openalex-snapshot
Dynamic visual category learning
inferredcites →https://doi.org/10.1109/cvpr.2013.114openalex-snapshot
Probabilistic Label Trees for Efficient Large Scale Image Classification
inferredcites →https://doi.org/10.1109/cvpr.2015.7298799openalex-snapshot
Towards Open World Recognition
inferredcites →https://doi.org/10.1109/cvpr.2017.587openalex-snapshot
iCaRL: Incremental Classifier and Representation Learning
inferredcites →https://doi.org/10.1109/iccv.2013.307openalex-snapshot
EVSAC: Accelerating Hypotheses Generation by Modeling Matching Scores with Extreme Value Theory
inferredcites →https://doi.org/10.1109/icdm.2012.60openalex-snapshot
Self-Adjusting Models for Semi-supervised Learning in Partially Observed Settings
inferredcites →https://doi.org/10.1109/icdm.2018.00199openalex-snapshot
Robust Regression via Online Feature Selection Under Adversarial Data Corruption
inferredcites →https://doi.org/10.1109/tkde.2017.2691702openalex-snapshot
Classification Under Streaming Emerging New Classes: A Solution Using Completely-Random Trees
inferredcites →https://doi.org/10.1109/tpami.2014.2321392openalex-snapshot
Probability Models for Open Set Recognition
inferredcites →https://doi.org/10.1109/wacv.2015.113openalex-snapshot
Local Novelty Detection in Multi-class Recognition Problems
inferredcites →https://doi.org/10.1145/2647868.2654926openalex-snapshot
Error-Driven Incremental Learning in Deep Convolutional Neural Network for Large-Scale Image Classification
inferredcites →https://doi.org/10.1145/3219819.3220117openalex-snapshot
Prediction-time Efficient Classification Using Feature Computational Dependencies
inferredcites →https://doi.org/10.5555/1248547.1248616openalex-snapshot
Incremental Support Vector Learning: Analysis, Implementation and Applications
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4719921openalex-extracted
Towards Unsupervised Domain-Specific Open-World Recognition
inferred← citeshttps://doi.org/10.1007/978-981-19-7513-4_30openalex-snapshot
Open-World Machine Learning for Unknown Class Identification in Human-Machine Interaction Systems
inferred← citeshttps://doi.org/10.1007/s00170-023-12939-0openalex-snapshot
Contrastive deep clustering for detecting new defect patterns in wafer bin maps
inferred← citeshttps://doi.org/10.1016/j.ipm.2022.103214openalex-snapshot
A machine learning based framework to identify unseen classes in open-world text classification
inferred← citeshttps://doi.org/10.1109/cvprw67362.2025.00326openalex-snapshot
Exploiting Adversarial Learning and Topology Augmentation for Open-Set Visual Recognition
inferred← citeshttps://doi.org/10.1109/ickg55886.2022.00041openalex-snapshot
A Method for Discovering Novel Classes in Tabular Data
inferred← citeshttps://doi.org/10.1109/tifs.2023.3240291openalex-snapshot
Federated Graph Neural Network for Fast Anomaly Detection in Controller Area Networks
inferred← citeshttps://doi.org/10.1109/tkde.2019.2948607openalex-snapshot
Large-scale Cost-aware Classification Using Feature Computational Dependency Graph
inferred← citeshttps://doi.org/10.1109/tmc.2025.3633287openalex-snapshot
RF-MAE: A Self-Supervised Adaptive Frequency Masked Autoencoder With Radio-Frequency Signal Processing Applications
inferred← citeshttps://doi.org/10.1145/3561381openalex-snapshot
Open-world Machine Learning: Applications, Challenges, and Opportunities
inferred← citeshttps://doi.org/10.1145/3657286openalex-snapshot
A Systematic Literature Review of Novelty Detection in Data Streams: Challenges and Opportunities
inferred← citeshttps://doi.org/10.31219/osf.io/49t62openalex-snapshot
Future occurrence anticipation with data science
inferred← citeshttps://doi.org/10.3390/s22020497openalex-snapshot
Confronting Deep-Learning and Biodiversity Challenges for Automatic Video-Monitoring of Marine Ecosystems
inferred← citeshttps://doi.org/10.48550/arxiv.2211.16352openalex-snapshot
Découvrir de nouvelles classes dans des données tabulaires
inferred← citeshttps://doi.org/10.70675/377074fcz84f0z4f50zb7f9z29885b812cf4openalex-snapshot
Novel class discovery in tabular data : an application to network fault diagnosis
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