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08/08/2023
AICSD: Adaptive Inter-Class Similarity Distillation for Semantic Segmentation
In recent years, deep neural networks have achieved remarkable accuracy ...
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01/25/2023
Trainable Loss Weights in Super-Resolution
In recent years, research on super-resolution has primarily focused on t...
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02/23/2022
LPF-Defense: 3D Adversarial Defense based on Frequency Analysis
Although 3D point cloud classification has recently been widely deployed...
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02/15/2022
Information-Theoretic Analysis of Minimax Excess Risk
Two main concepts studied in machine learning theory are generalization ...
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10/07/2021
Adversarial Attack by Limited Point Cloud Surface Modifications
Recent research has revealed that the security of deep neural networks t...
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07/02/2021
CHASE: Robust Visual Tracking via Cell-Level Differentiable Neural Architecture Search
A strong visual object tracker nowadays relies on its well-crafted modul...
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05/10/2021
Rate-Distortion Analysis of Minimum Excess Risk in Bayesian Learning
Minimum Excess Risk (MER) in Bayesian learning is defined as the differe...
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03/13/2021
Generating Unrestricted Adversarial Examples via Three Parameters
Deep neural networks have been shown to be vulnerable to adversarial exa...
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10/09/2020
Be Your Own Best Competitor! Multi-Branched Adversarial Knowledge Transfer
Deep neural network architectures have attained remarkable improvements ...
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08/29/2020
Adaptive Exploitation of Pre-trained Deep Convolutional Neural Networks for Robust Visual Tracking
Due to the automatic feature extraction procedure via multi-layer nonlin...
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06/04/2020
COMET: Context-Aware IoU-Guided Network for Small Object Tracking
Tracking an unknown target captured from medium- or high-aerial view is ...
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04/06/2020
Efficient Scale Estimation Methods using Lightweight Deep Convolutional Neural Networks for Visual Tracking
In recent years, visual tracking methods that are based on discriminativ...
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04/06/2020
Beyond Background-Aware Correlation Filters: Adaptive Context Modeling by Hand-Crafted and Deep RGB Features for Visual Tracking
In recent years, the background-aware correlation filters have achie-ved...
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04/03/2020
Effective Fusion of Deep Multitasking Representations for Robust Visual Tracking
Visual object tracking remains an active research field in computer visi...
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01/02/2020
Lightweight Residual Densely Connected Convolutional Neural Network
Extremely efficient convolutional neural network architectures are one o...
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12/27/2019
Pointwise Attention-Based Atrous Convolutional Neural Networks
With the rapid progress of deep convolutional neural networks, in almost...
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12/25/2019
Multi-Modal Attention-based Fusion Model for Semantic Segmentation of RGB-Depth Images
The 3D scene understanding is mainly considered as a crucial requirement...
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12/02/2019
Deep Learning for Visual Tracking: A Comprehensive Survey
Visual target tracking is one of the most sought-after yet challenging r...
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09/20/2019
Do Compressed Representations Generalize Better?
One of the most studied problems in machine learning is finding reasonab...
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04/07/2019
Information Bottleneck and its Applications in Deep Learning
Information Theory (IT) has been used in Machine Learning (ML) from earl...
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10/25/2016
A Novel Boundary Matching Algorithm for Video Temporal Error Concealment
With the fast growth of communication networks, the video data transmiss...
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11/29/2014
