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08/31/2022
Deep Anomaly Detection and Search via Reinforcement Learning
Semi-supervised Anomaly Detection (AD) is a kind of data mining task whi...
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08/17/2022
A Concept and Argumentation based Interpretable Model in High Risk Domains
Interpretability has become an essential topic for artificial intelligen...
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03/07/2022
Knowledge Amalgamation for Object Detection with Transformers
Knowledge amalgamation (KA) is a novel deep model reusing task aiming to...
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07/24/2021
Personalized Image Semantic Segmentation
Semantic segmentation models trained on public datasets have achieved gr...
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03/17/2020
DEPARA: Deep Attribution Graph for Deep Knowledge Transferability
Exploring the intrinsic interconnections between the knowledge encoded i...
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12/18/2019
Class Regularization: Improve Few-shot Image Classification by Reducing Meta Shift
Few-shot image classification requires the classifier to robustly cope w...
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11/14/2019
Self-Supervised Learning For Few-Shot Image Classification
Few-shot image classification aims to classify unseen classes with limit...
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06/02/2019
Hierarchical Video Frame Sequence Representation with Deep Convolutional Graph Network
High accuracy video label prediction (classification) models are attribu...
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02/14/2017