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03/15/2021
The QXS-SAROPT Dataset for Deep Learning in SAR-Optical Data Fusion
Deep learning techniques have made an increasing impact on the field of ...
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03/15/2021
Boosting ship detection in SAR images with complementary pretraining techniques
Deep learning methods have made significant progress in ship detection i...
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04/10/2020
Training few-shot classification via the perspective of minibatch and pretraining
Few-shot classification is a challenging task which aims to formulate th...
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09/18/2019
Transfer Learning with Dynamic Adversarial Adaptation Network
The recent advances in deep transfer learning reveal that adversarial le...
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09/17/2019
Transfer Learning with Dynamic Distribution Adaptation
Transfer learning aims to learn robust classifiers for the target domain...
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06/26/2019
Task-Driven Common Representation Learning via Bridge Neural Network
This paper introduces a novel deep learning based method, named bridge n...
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04/02/2019
Easy Transfer Learning By Exploiting Intra-domain Structures
Transfer learning aims at transferring knowledge from a well-labeled dom...
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12/05/2018
DropPruning for Model Compression
Deep neural networks (DNNs) have dramatically achieved great success on ...
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07/20/2018
Deep Transfer Learning for Cross-domain Activity Recognition
Human activity recognition plays an important role in people's daily lif...
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07/19/2018
Visual Domain Adaptation with Manifold Embedded Distribution Alignment
Visual domain adaptation aims to learn robust classifiers for the target...
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06/26/2018
