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05/15/2023
Ripple sparse self-attention for monaural speech enhancement
The use of Transformer represents a recent success in speech enhancement...
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05/10/2023
Generative Steganographic Flow
Generative steganography (GS) is a new data hiding manner, featuring dir...
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02/27/2022
Synergistic Network Learning and Label Correction for Noise-robust Image Classification
Large training datasets almost always contain examples with inaccurate o...
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01/13/2022
Recursive Least Squares for Training and Pruning Convolutional Neural Networks
Convolutional neural networks (CNNs) have succeeded in many practical ap...
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01/13/2022
Recursive Least Squares Policy Control with Echo State Network
The echo state network (ESN) is a special type of recurrent neural netwo...
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12/08/2021
Fully Attentional Network for Semantic Segmentation
Recent non-local self-attention methods have proven to be effective in c...
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11/15/2021
Time-Frequency Attention for Monaural Speech Enhancement
Most studies on speech enhancement generally don't consider the energy d...
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10/27/2021
Denoised Non-Local Neural Network for Semantic Segmentation
The non-local network has become a widely used technique for semantic se...
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09/11/2021
Autonomous Underwater Vehicle-Manipulator Systems Path Planning with RRTAUVMS Algorithm
Autonomous Underwater Vehicle-Manipulator systems (AUVMS) is a new tool ...
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09/07/2021
Revisiting Recursive Least Squares for Training Deep Neural Networks
Recursive least squares (RLS) algorithms were once widely used for train...
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03/10/2021
AttaNet: Attention-Augmented Network for Fast and Accurate Scene Parsing
Two factors have proven to be very important to the performance of seman...
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04/05/2020
ReADS: A Rectified Attentional Double Supervised Network for Scene Text Recognition
In recent years, scene text recognition is always regarded as a sequence...
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02/05/2020
Domain Embedded Multi-model Generative Adversarial Networks for Image-based Face Inpainting
Prior knowledge of face shape and location plays an important role in fa...
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03/25/2019
DeepCenterline: a Multi-task Fully Convolutional Network for Centerline Extraction
A novel centerline extraction framework is reported which combines an en...
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03/18/2019
POI Semantic Model with a Deep Convolutional Structure
When using the electronic map, POI retrieval is the initial and importan...
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01/02/2019
Flow Based Self-supervised Pixel Embedding for Image Segmentation
We propose a new self-supervised approach to image feature learning from...
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03/02/2017