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

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

Leveraging Foreground Collaboration and Augmentation for Industrial Anomaly Detection