Learning an interpretable end-to-end network for real-time acoustic beamforming

Source-free cross-domain fault diagnosis of rotating machinery using the Siamese framework

Bootstrap Segmentation Foundation Model under Distribution Shift via Object-Centric Learning

InPer: Whole-Process Domain Generalization via Causal Intervention and Perturbation

AFSC: Adaptive Fourier Space Compression for Anomaly Detection

Unity in Diversity: Multi-expert Knowledge Confrontation and Collaboration for Generalizable Vehicle Re-identification

AIVR-Net: Attribute-based invariant visual representation learning for vehicle re-identification

Progressive High-Frequency Reconstruction for Pan-Sharpening with Implicit Neural Representation

Learning to sound imaging by a model-based interpretable network

Adaptive sparse estimation of nonlinear chirp signals using Laplace priors

Diffusion-Based Continuous Feature Representation for Infrared Small-Dim Target Detection

IMPLICIT FOREGROUND-GUIDED NETWORK FOR ANOMALY DETECTION AND LOCALIZATION

Cross-Modality Interaction Network for Pan-Sharpening

Leveraging Foreground Collaboration and Augmentation for Industrial Anomaly Detection

Infrared and Visible Image Fusion via Test-Time Training

AnoCSR-A Convolutional Sparse Reconstructive Noise-Robust Framework for Industrial Anomaly Detection

DP-INNet: Dual-Path Implicit Neural Network for Spatial and Spectral Features Fusion in Pan-Sharpening

High-Resolution Feature Representation Driven Infrared Small-Dim Object Detection

Boosting Generalization Performance in Person Re-identification

A Two-Stage Federated Learning Framework for Class Imbalance in Aerial Scene Classification

Recognizer Embedding Diffusion Generation for Few-Shot SAR Recognization

Adversarial Robustness via Multi-experts Framework for SAR Recognition with Class Imbalanced

GAMMA challenge: Glaucoma grAding from Multi-Modality imAges

AIVR-Net: Attribute-Based Invariant Visual Representation Learning for Vehicle Re-Identification

Source-Free Cross-Domain Fault Diagnosis of Rotating Machinery Using the Siamese Framework

Adaptive nonlinear group delay mode estimation

Learning High-frequency Feature Enhancement and Alignment for Pan-sharpening

Activate and Reject: Towards Safe Domain Generalization under Category Shift

Distributed representation learning with skip-gram model for trained random forests

SRCD: Semantic Reasoning with Compound Domains for Single-Domain Generalized Object Detection

Self-Supervised Image Denoising Using Implicit Deep Denoiser Prior

Learning an Interpretable End-to-End Network for Real-Time Acoustic Beamforming

Exploring personalization via federated representation Learning on non-IID data

MASNet: A Robust Deep Marine Animal Segmentation Network

Relation Matters: Foreground-Aware Graph-Based Relational Reasoning for Domain Adaptive Object Detection

Unsupervised Anomaly Segmentation for?Brain Lesions Using Dual Semantic-Manifold Reconstruction

A Hybrid Framework Based on?Classifier Calibration for?Imbalanced Aerial Scene Recognition

Enhanced features in image manipulation detection

A Contrastive-Based Adversarial Training Algorithm for HRRP Target Recognition

Unpaired Speckle Extraction for SAR Despeckling

Full-Duplex Visible Light Communication System Based on Single Blue Mini-LED Acting as Transmitter and Photodetector Simultaneously

Interclass Similarity Transfer for Imbalanced Aerial Scene Classification

Self-Supervised Video-Based Action Recognition With Disturbances

Joint Image and Feature Levels Disentanglement for Generalizable Vehicle Re-identification

Adaptive Ship Detection From Optical to SAR Images

Hint-Dynamic Knowledge Distillation

Learning a Simple Low-light Image Enhancer from Paired Low-light Instances

CODA: Generalizing to Open and Unseen Domains with Compaction and Disambiguation

Activate and Reject: Towards Safe Domain Generalization under Category Shift

EFFECTIVE HRRP DATA AUGMENTATION BY CONTRASTIVE ADVERSARIAL TRAINING

HINT-DYNAMIC KNOWLEDGE DISTILLATION

Mix and Reason: Reasoning over Semantic Topology with Data Mixing for Domain Generalization

Sparse optimization for nonlinear group delay mode estimation

Distributed Representation Learning for Trained Forests by Skip-Gram Model

Uncertainty Inspired Underwater Image Enhancement

Unsupervised Underwater Image Restoration: From a Homology Perspective

Relation Matters: Foreground-aware Graph-based Relational Reasoning for Domain Adaptive Object Detection

A teacher-student framework for liver and tumor segmentation under mixed supervision from abdominal CT scans

DualMMP-GAN: Dual-scale multi-modality perceptual generative adversarial network for medical image segmentation

A Closer Look at Personalization in Federated Image Classification

AFSC: Adaptive Fourier Space Compression for Anomaly Detection

Dual Domain Multi-Task Model for Vehicle Re-Identification

Harmonizing Pathological and Normal Pixels for Pseudo-healthy Synthesis

Learning Rate Dropout

High-resolution source localization exploiting the sparsity of the beamforming map

Twice Mixing: A rank learning based quality assessment approach for underwater image enhancement

Domain generalization on medical imaging classification using episodic training with task augmentation

Few-shot medical image segmentation using a global correlation network with discriminative embedding

Harmonizing Pathological and Normal Pixels for Pseudo-Healthy Synthesis

ADAPTIVE VARIATIONAL NONLINEAR CHIRP MODE DECOMPOSITION

UNSUPERVISED AND UNTRAINED UNDERWATER IMAGE RESTORATION BASED ON PHYSICAL IMAGE FORMATION MODEL

A TWO-STAGE CONTRASTIVE LEARNING FRAMEWORK FOR IMBALANCED AERIAL SCENE RECOGNITION

A ROBUST OBJECT SEGMENTATION NETWORK FOR UNDERWATER SCENES

UNDERWATER IMAGE ENHANCEMENT VIA LEARNING WATER TYPE DESENSITIZED REPRESENTATIONS

Two-Level Consistency Metric for Infrared and Visible Image Fusion

Self-Supervised SAR Despeckling Powered by Implicit Deep Denoiser Prior

Unsupervised Video-Based Action Recognition With Imagining Motion and Perceiving Appearance

Knowledge Condensation Distillation

A SELF-SUPERVISED METHOD FOR INFRARED AND VISIBLE IMAGE FUSION

A SIMPLE SIAMESE FRAMEWORK FOR VIBRATION SIGNAL REPRESENTATIONS

Mix and Reason: Reasoning over Semantic Topology with Data Mixing for Domain Generalization

Unsupervised Large-Scale Social Network Alignment via Cross Network Embedding

Enhanced Deep Blind Hyperspectral Image Fusion

Hard class rectification for domain adaptation

Deep Multiscale Detail Networks for Multiband Spectral Image Sharpening

Curriculum Feature Alignment Domain Adaptation for Epithelium-Stroma Classification in Histopathological Images

Dual Bipartite Graph Learning: A General Approach for Domain Adaptive Object Detection

I(3)Net: Implicit Instance-Invariant Network for Adapting One-Stage Object Detectors

Noise2Grad: Extract Image Noise to Denoise

CONSISTENT POSTERIOR DISTRIBUTIONS UNDER VESSEL-MIXING: A REGULARIZATION FOR CROSS-DOMAIN RETINAL ARTERY/VEIN CLASSIFICATION

Deep Multiscale Feedback Network for Hyperspectral Image Fusion

Generator Versus Segmentor: Pseudo-healthy Synthesis

Fast Magnetic Resonance Imaging on Regions of Interest: From Sensing to Reconstruction

Hierarchical deep network with uncertainty-aware semi-supervised learning for vessel segmentation

Recognition-Aware HRRP Generation With Generative Adversarial Network

One-Shot HRRP Generation for Radar Target Recognition

An Adversarial Learning Approach to Medical Image Synthesis for Lesion Detection

Multiple-source domain adaptation with generative adversarial nets

A 3D Spatially Weighted Network for Segmentation of Brain Tissue From MRI

Vehicle Type Recognition From Surveillance Data Based on Deep Active Learning

Segmentation and Classification in Digital Pathology for Glioma Research: Challenges and Deep Learning Approaches

Cost-Effective Vehicle Type Recognition in Surveillance Images With Deep Active Learning and Web Data

HRRP Target Recognition With Deep Transfer Learning

A < sup > 2 </sup > Net: Adjacent Aggregation Networks for Image Raindrop Removal

Crowd Density Estimation Using Fusion of Multi-Layer Features

Harmonizing transferability and discriminability for adapting object detectors

A dual-domain deep lattice network for rapid MRI reconstruction

Multi-sequence Cardiac MR Segmentation with Adversarial Domain Adaptation Network

Rain O'er Me: Synthesizing Real Rain to Derain With Data Distillation

A Deep Information Sharing Network for Multi-Contrast Compressed Sensing MRI Reconstruction

A divide-and-conquer approach to compressed sensing MRI

Region-of-interest undersampled MRI reconstruction: A deep convolutional neural network approach

A variational pan-sharpening with local gradient constraints

Progressive feature alignment for unsupervised domain adaptation

Two-stream Multi-focus Image Fusion Based on the Latent Decision Map

Lung Nodule Detection with a 3D ConvNet via IoU Self-normalization and Maxout Unit

Camera Identification Based on Domain Knowledge-Driven Deep-Task Learning

Joint CS-MRI Reconstruction and Segmentation with a Unified Deep Network

T-SAMnet: A Segmentation Driven Network for Image Manipulation Detection

Pay attention to deep feature fusion in crowd density estimation

A Robustness and Low Bit-Rate Image Compression Network for Underwater Acoustic Communication

G-HAPNet: A Novel Structure for Single Image Super-Resolution

Residual-guide network for single image deraining

Man-Made Object Recognition from Underwater Optical Images Using Deep Learning and Transfer Learning

A Deeply-Recursive Convolutional Network for Crowd Counting

Classify epithelium-stroma in histopathological images based on deep transferable network

Camera model identification with residual neural network

Compressed sensing MRI using total variation regularization with K-space decomposition

TWO-STEP APPROACH FOR SINGLE UNDERWATER IMAGE ENHANCEMENT

Prominent edge detection with deep metric expression and multi-scale features

Breast cancer histopathological image classification via deep active learning and confidence boosting

A segmentation-aware deep fusion network for compressed sensing MRI

Age estimation from MR images via 3D convolutional neural network and densely connect

A deep ensemble network for compressed sensing MRI

High efficient reconstruction of single-shot magnetic resonance T2 mapping through overlapping echo detachment and DenseNet

Weakly-supervised man-made object recognition in underwater optimal image through deep domain adaptation

Compressed sensing MRI using a recursive dilated network

PanNet: A Deep Network Architecture for Pan-Sharpening

Epithelium-Stroma Classification via Convolutional Neural Networks and Unsupervised Domain Adaptation in Histopathological Images

Epithelium-stroma classification in histopathological images via convolutional neural networks and self-taught learning

Image enhancement using divide-and-conquer strategy

A Simple Convolutional Transfer Neural Networks in Vision Tasks

Removing rain from single images via a deep detail network

A Weighted Variational Model for Simultaneous Reflectance and Illumination Estimation

A fusion-based enhancing method for weakly illuminated images

Non-blind deconvolution with 1-norm of high-frequency fidelity

A supervised learning framework for pancreatic islet segmentation with multi-scale color-texture features and rolling guidance filters

A novel framework method for non-blind deconvolution using subspace images priors

Saliency Detection With Spaces of Background-Based Distribution

Pan-sharpening with a hyper-laplacian penalty

Mixed noise removal based on a novel non-parametric Bayesian sparse outlier model

Automatic Liver Segmentation from CT Images Using Single-Block Linear Detection

Pan-sharpening with structural consistency and l(1/2) gradient prior

A weighted variational model for simultaneous reflectance and illumination estimation

Hierarchical feature extraction for nuclear morphometry-based cancer diagnosis

A Probabilistic Method for Image Enhancement With Simultaneous Illumination and Reflectance Estimation

Remote Sensing Image Enhancement Using Regularized-Histogram Equalization and DCT

A novel pooling strategy for Full Reference Image Quality Assessment based on harmonic means

Vehicle Logo Recognition System Based on Convolutional Neural Networks With a Pretraining Strategy

Single image rain and snow removal via guided L0 smoothing filter

A harmonic means pooling strategy for structural similarity index measurement in image quality assessment

Single-trial ERPs denoising via collaborative filtering on ERPs images

Bayesian nonparametric dictionary learning for compressed sensing MRI

A fusion-based enhancing approach for single sandstorm image

Automated computational framework of blood vessel quantification in chick chorioallantoic membrane angiogenesis

Numerical study of three-dimensional detonation structure transformations in a narrow square tube: from rectangular and diagonal modes into spinning modes

Automated three-dimensional reconstruction and morphological analysis of dendritic spines based on semi-supervised learning

A NOVEL RETINEX BASED APPROACH FOR IMAGE ENHANCEMENT WITH ILLUMINATION ADJUSTMENT

Single-trial event-related potentials denoising based on collaborative filtering in transform domain

A novel and facile method to synthesize crystalline-disordered core-shell anatase (La, F)-TiO2

Single-trial event-related potentials classification via a discriminative dictionary learning scheme

A variational framework for single low light image enhancement using bright channel prior

Pan-sharpening based on nonparametric Bayesian adaptive dictionary learning

Compressed sensing MRI with Bayesian dictionary learning

A novel retinex algorithm based on alternating direction optimization

An automated computational framework for retinal vascular network labeling and branching order analysis

An automated approach for cerebral microvascularity labeling in microscopy images

Single image De-haze based on a new dark channel estimation method

Computational Identification of Proteins Sub-network in Parkinson's Disease Study

Benchmark comparison of ab initio microRNA identification methods and software

Automated Vessel Tracing for Cerebral Vascularity Study in Microscopy Images