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06/02/2023
Is Generative Modeling-based Stylization Necessary for Domain Adaptation in Regression Tasks?
Unsupervised domain adaptation (UDA) aims to bridge the gap between sour...
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04/09/2023
CLVOS23: A Long Video Object Segmentation Dataset for Continual Learning
Continual learning in real-world scenarios is a major challenge. A gener...
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06/09/2022
Building Spatio-temporal Transformers for Egocentric 3D Pose Estimation
Egocentric 3D human pose estimation (HPE) from images is challenging due...
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02/15/2022
Normalized K-Means for Noise-Insensitive Multi-Dimensional Feature Learning
Many measurement modalities which perform imaging by probing an object p...
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11/07/2021
Survey of Deep Learning Methods for Inverse Problems
In this paper we investigate a variety of deep learning strategies for s...
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01/27/2021
Deep Image Retrieval: A Survey
In recent years a vast amount of visual content has been generated and s...
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11/12/2020
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges
Uncertainty quantification (UQ) plays a pivotal role in reduction of unc...
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06/08/2020
Text Detection and Recognition in the Wild: A Review
Detection and recognition of text in natural images are two main problem...
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03/04/2020
Deep Neural Network Perception Models and Robust Autonomous Driving Systems
This paper analyzes the robustness of deep learning models in autonomous...
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12/13/2019
Potential adversarial samples for white-box attacks
Deep convolutional neural networks can be highly vulnerable to small per...
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04/19/2019
Assessing Architectural Similarity in Populations of Deep Neural Networks
Evolutionary deep intelligence has recently shown great promise for prod...
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11/19/2018
Mitigating Architectural Mismatch During the Evolutionary Synthesis of Deep Neural Networks
Evolutionary deep intelligence has recently shown great promise for prod...
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11/14/2018
ProstateGAN: Mitigating Data Bias via Prostate Diffusion Imaging Synthesis with Generative Adversarial Networks
Generative Adversarial Networks (GANs) have shown considerable promise f...
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09/06/2018
Deep Learning for Generic Object Detection: A Survey
Generic object detection, aiming at locating object instances from a lar...
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02/13/2018
Texture Classification in Extreme Scale Variations using GANet
Research in texture recognition often concentrates on recognizing textur...
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02/09/2018
Nature vs. Nurture: The Role of Environmental Resources in Evolutionary Deep Intelligence
Evolutionary deep intelligence synthesizes highly efficient deep neural ...
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01/31/2018
A Survey of Recent Advances in Texture Representation
Texture is a fundamental characteristic of many types of images, and tex...
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09/07/2017
The Mating Rituals of Deep Neural Networks: Learning Compact Feature Representations through Sexual Evolutionary Synthesis
Evolutionary deep intelligence was recently proposed as a method for ach...
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12/18/2015
Domain Adaptation and Transfer Learning in StochasticNets
Transfer learning is a recent field of machine learning research that ai...
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12/11/2015
Efficient Deep Feature Learning and Extraction via StochasticNets
Deep neural networks are a powerful tool for feature learning and extrac...
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06/30/2015
