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08/15/2023
ICAFusion: Iterative Cross-Attention Guided Feature Fusion for Multispectral Object Detection
Effective feature fusion of multispectral images plays a crucial role in...
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09/09/2022
Self-supervised Learning for Heterogeneous Graph via Structure Information based on Metapath
graph neural networks (GNNs) are the dominant paradigm for modeling and ...
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01/24/2022
Multi-Scale Iterative Refinement Network for RGB-D Salient Object Detection
The extensive research leveraging RGB-D information has been exploited i...
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01/19/2022
Online Deep Learning based on Auto-Encoder
Online learning is an important technical means for sketching massive re...
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01/15/2022
Multi-View representation learning in Multi-Task Scene
Over recent decades have witnessed considerable progress in whether mult...
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01/09/2022
Auto-Encoder based Co-Training Multi-View Representation Learning
Multi-view learning is a learning problem that utilizes the various repr...
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01/05/2022
Adaptive Online Incremental Learning for Evolving Data Streams
Recent years have witnessed growing interests in online incremental lear...
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12/29/2021
Universal Transformer Hawkes Process with Adaptive Recursive Iteration
Asynchronous events sequences are widely distributed in the natural worl...
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12/29/2021
Temporal Attention Augmented Transformer Hawkes Process
In recent years, mining the knowledge from asynchronous sequences by Haw...
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12/27/2021
Survival Analysis of the Compressor Station Based on Hawkes Process with Weibull Base Intensity
In this paper, we use the Hawkes process to model the sequence of failur...
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12/23/2021
Attentive Multi-View Deep Subspace Clustering Net
In this paper, we propose a novel Attentive Multi-View Deep Subspace Net...
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05/17/2019