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06/12/2023
On the Amplification of Linguistic Bias through Unintentional Self-reinforcement Learning by Generative Language Models – A Perspective
Generative Language Models (GLMs) have the potential to significantly sh...
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06/05/2023
ZIGNeRF: Zero-shot 3D Scene Representation with Invertible Generative Neural Radiance Fields
Generative Neural Radiance Fields (NeRFs) have demonstrated remarkable p...
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05/24/2023
DuDGAN: Improving Class-Conditional GANs via Dual-Diffusion
Class-conditional image generation using generative adversarial networks...
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05/20/2023
Game-Theoretical Analysis of Reviewer Rewards in Peer-Review Journal Systems: Analysis and Experimental Evaluation using Deep Reinforcement Learning
In this paper, we navigate the intricate domain of reviewer rewards in o...
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05/20/2023
GELU Activation Function in Deep Learning: A Comprehensive Mathematical Analysis and Performance
Selecting the most suitable activation function is a critical factor in ...
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04/24/2023
Portfolio Optimization using Predictive Auxiliary Classifier Generative Adversarial Networks with Measuring Uncertainty
In financial engineering, portfolio optimization has been of consistent ...
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03/17/2023
Adaptive Graph Convolution Module for Salient Object Detection
Salient object detection (SOD) is a task that involves identifying and s...
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03/15/2023
Guided Slot Attention for Unsupervised Video Object Segmentation
Unsupervised video object segmentation aims to segment the most prominen...
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03/08/2023
TSANET: Temporal and Scale Alignment for Unsupervised Video Object Segmentation
Unsupervised Video Object Segmentation (UVOS) refers to the challenging ...
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02/20/2023
Two-stream Decoder Feature Normality Estimating Network for Industrial Anomaly Detection
Image reconstruction-based anomaly detection has recently been in the sp...
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01/03/2023
Class-Continuous Conditional Generative Neural Radiance Field
The 3D-aware image synthesis focuses on conserving spatial consistency b...
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12/09/2022
Leveraging Spatio-Temporal Dependency for Skeleton-Based Action Recognition
Skeleton-based action recognition has attracted considerable attention d...
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11/22/2022
Global-Local Aggregation with Deformable Point Sampling for Camouflaged Object Detection
The camouflaged object detection (COD) task aims to find and segment obj...
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11/22/2022
Deblurred Neural Radiance Field with Physical Scene Priors
Neural Radiance Field(NeRF) has exhibited outstanding three-dimensional(...
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11/22/2022
Domain Alignment and Temporal Aggregation for Unsupervised Video Object Segmentation
Unsupervised video object segmentation aims at detecting and segmenting ...
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09/08/2022
Unsupervised Video Object Segmentation via Prototype Memory Network
Unsupervised video object segmentation aims to segment a target object i...
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09/04/2022
Treating Motion as Option to Reduce Motion Dependency in Unsupervised Video Object Segmentation
Unsupervised video object segmentation (VOS) aims to detect the most sal...
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09/04/2022
Pixel-Level Equalized Matching for Video Object Segmentation
Feature similarity matching, which transfers the information of the refe...
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08/23/2022
Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action Recognition
Graph convolutional networks (GCNs) are the most commonly used method fo...
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07/16/2022
SPSN: Superpixel Prototype Sampling Network for RGB-D Salient Object Detection
RGB-D salient object detection (SOD) has been in the spotlight recently ...
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07/14/2022
Tackling Background Distraction in Video Object Segmentation
Semi-supervised video object segmentation (VOS) aims to densely track ce...
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02/13/2022
RandomSEMO: Normality Learning Of Moving Objects For Video Anomaly Detection
Recent anomaly detection algorithms have shown powerful performance by a...
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10/13/2021
Saliency Detection via Global Context Enhanced Feature Fusion and Edge Weighted Loss
UNet-based methods have shown outstanding performance in salient object ...
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06/16/2021
EdgeConv with Attention Module for Monocular Depth Estimation
Monocular depth estimation is an especially important task in robotics a...
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06/16/2021
FastAno: Fast Anomaly Detection via Spatio-temporal Patch Transformation
Video anomaly detection has gained significant attention due to the incr...
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02/14/2021
Robust Lane Detection via Expanded Self Attention
The image-based lane detection algorithm is one of the key technologies ...
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02/03/2021
Regularization Strategy for Point Cloud via Rigidly Mixed Sample
Data augmentation is an effective regularization strategy to alleviate t...
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07/01/2020
Estimation with Uncertainty via Conditional Generative Adversarial Networks
Conventional predictive Artificial Neural Networks (ANNs) commonly emplo...
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05/19/2020
Regularization Methods for Generative Adversarial Networks: An Overview of Recent Studies
Despite its short history, Generative Adversarial Network (GAN) has been...
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04/09/2020
Score-Guided Generative Adversarial Networks
We propose a Generative Adversarial Network (GAN) that introduces an eva...
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08/02/2017
