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10/31/2022
SEVGGNet-LSTM: a fused deep learning model for ECG classification
This paper presents a fused deep learning algorithm for ECG classificati...
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09/05/2022
Uformer-ICS: A Specialized U-Shaped Transformer for Image Compressive Sensing
Recently, several studies have applied deep convolutional neural network...
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03/15/2022
CSN: Component-Supervised Network for Few-Shot Classification
The few-shot classification (FSC) task has been a hot research topic in ...
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09/07/2021
CIM: Class-Irrelevant Mapping for Few-Shot Classification
Few-shot classification (FSC) is one of the most concerned hot issues in...
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06/27/2021
Secure Reversible Data Hiding in Encrypted Images Using Cipher-Feedback Secret Sharing
Reversible data hiding in encrypted images (RDH-EI) has attracted increa...
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06/24/2021
Detection of Deepfake Videos Using Long Distance Attention
With the rapid progress of deepfake techniques in recent years, facial v...
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05/24/2021
LineCounter: Learning Handwritten Text Line Segmentation by Counting
Handwritten Text Line Segmentation (HTLS) is a low-level but important t...
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05/12/2021
SauvolaNet: Learning Adaptive Sauvola Network for Degraded Document Binarization
Inspired by the classic Sauvola local image thresholding approach, we sy...
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03/08/2021
Bridging the Distribution Gap of Visible-Infrared Person Re-identification with Modality Batch Normalization
Visible-infrared cross-modality person re-identification (VI-ReID), whos...
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03/08/2021
Unified Batch All Triplet Loss for Visible-Infrared Person Re-identification
Visible-Infrared cross-modality person re-identification (VI-ReID), whos...
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08/21/2020
Learning Domain-invariant Graph for Adaptive Semi-supervised Domain Adaptation with Few Labeled Source Samples
Domain adaptation aims to generalize a model from a source domain to tac...
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07/19/2020
Geometry Constrained Weakly Supervised Object Localization
We propose a geometry constrained network, termed GC-Net, for weakly sup...
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03/28/2019
Universal chosen-ciphertext attack for a family of image encryption schemes
During the past decades, there is a great popularity employing nonlinear...
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06/21/2018
Ensemble p-Laplacian Regularization for Remote Sensing Image Recognition
Recently, manifold regularized semi-supervised learning (MRSSL) received...
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06/21/2018
Hypergraph p-Laplacian Regularization for Remote Sensing Image Recognition
It is of great importance to preserve locality and similarity informatio...
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11/19/2017
Vision Recognition using Discriminant Sparse Optimization Learning
To better select the correct training sample and obtain the robust repre...
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11/19/2017
Discriminant Projection Representation-based Classification for Vision Recognition
Representation-based classification methods such as sparse representatio...
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11/19/2017