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05/10/2023
Enhancing the Performance of Transformer-based Spiking Neural Networks by SNN-optimized Downsampling with Precise Gradient Backpropagation
Deep spiking neural networks (SNNs) have drawn much attention in recent ...
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03/01/2023
The style transformer with common knowledge optimization for image-text retrieval
Image-text retrieval which associates different modalities has drawn bro...
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12/06/2022
Event-based Monocular Dense Depth Estimation with Recurrent Transformers
Event cameras, offering high temporal resolutions and high dynamic range...
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09/09/2022
A Memory-Related Multi-Task Method Based on Task-Agnostic Exploration
We pose a new question: Can agents learn how to combine actions from pre...
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08/05/2022
Towards Fast Theta-join: A Prefiltering and Amalgamated Partitioning Approach
As one of the most useful online processing techniques, the theta-join o...
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06/08/2022
Constellation Design for Deep Joint Source-Channel Coding
Deep learning-based joint source-channel coding (JSCC) has shown excelle...
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09/13/2021
Deep Joint Source-Channel Coding for Multi-Task Network
Multi-task learning (MTL) is an efficient way to improve the performance...
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06/10/2021
Data Clustering-Driven Neural Network for Intra Prediction
As a crucial part of video compression, intra prediction utilizes local ...
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03/10/2021
COLA-Net: Collaborative Attention Network for Image Restoration
Local and non-local attention-based methods have been well studied in va...
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01/30/2021
SNR-adaptive deep joint source-channel coding for wireless image transmission
Considering the problem of joint source-channel coding (JSCC) for multi-...
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03/10/2019
NormalNet: Learning based Guided Normal Filtering for Mesh Denoising
Mesh denoising is a critical technology in geometry processing, which ai...
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03/15/2018
A nonlinear transform based analog video transmission framework
Soft-cast, a cross-layer design for wireless video transmission, is prop...
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12/25/2012