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09/10/2023
Transformers in Small Object Detection: A Benchmark and Survey of State-of-the-Art
Transformers have rapidly gained popularity in computer vision, especial...
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08/06/2023
MCTformer+: Multi-Class Token Transformer for Weakly Supervised Semantic Segmentation
This paper proposes a novel transformer-based framework that aims to enh...
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03/09/2023
Analysis and Evaluation of Explainable Artificial Intelligence on Suicide Risk Assessment
This study investigates the effectiveness of Explainable Artificial Inte...
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10/12/2022
3D Brain and Heart Volume Generative Models: A Survey
Generative models such as generative adversarial networks and autoencode...
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09/17/2022
Active-Passive SimStereo – Benchmarking the Cross-Generalization Capabilities of Deep Learning-based Stereo Methods
In stereo vision, self-similar or bland regions can make it difficult to...
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09/12/2022
Bayesian Learning for Disparity Map Refinement for Semi-Dense Active Stereo Vision
A major focus of recent developments in stereo vision has been on how to...
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08/08/2022
Inflating 2D Convolution Weights for Efficient Generation of 3D Medical Images
The generation of three-dimensional (3D) medical images can have great a...
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07/09/2022
Improved and Interpretable Defense to Transferred Adversarial Examples by Jacobian Norm with Selective Input Gradient Regularization
Deep neural networks (DNNs) are known to be vulnerable to adversarial ex...
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03/24/2022
CrossFormer: Cross Spatio-Temporal Transformer for 3D Human Pose Estimation
3D human pose estimation can be handled by encoding the geometric depend...
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03/06/2022
Multi-class Token Transformer for Weakly Supervised Semantic Segmentation
This paper proposes a new transformer-based framework to learn class-spe...
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12/02/2021
Generalized Closed-form Formulae for Feature-based Subpixel Alignment in Patch-based Matching
Cost-based image patch matching is at the core of various techniques in ...
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07/14/2020
Hands-on Bayesian Neural Networks – a Tutorial for Deep Learning Users
Modern deep learning methods have equipped researchers and engineers wit...
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06/01/2020
A Survey on Deep Learning Techniques for Stereo-based Depth Estimation
Estimating depth from RGB images is a long-standing ill-posed problem, w...
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06/26/2019
Hierarchical Classification of Kelps utilizing Deep Residual Features
Across the globe, remote image data is rapidly being collected for the a...
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11/14/2017
Exploiting Layerwise Convexity of Rectifier Networks with Sign Constrained Weights
By introducing sign constraints on the weights, this paper proposes sign...
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08/24/2017
On the Compressive Power of Deep Rectifier Networks for High Resolution Representation of Class Boundaries
This paper provides a theoretical justification of the superior classifi...
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03/30/2017
From Deep to Shallow: Transformations of Deep Rectifier Networks
In this paper, we introduce transformations of deep rectifier networks, ...
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03/09/2017
