International Conference on Image Processing

Super-Resolution Magnetic Resonance Imaging Using Segmented Signals in Phase-Scrambling Fourier Transform Imaging and Deep Learning

Adaptive Proxy Anchor Loss For Deep Metric Learning

Continual Learning in Vision Transformer

Creating 3D Gramian Angular Field Representations For Higher Performance Energy Data Classification

Hyperspectral Reconstruction Using Auxiliary Rgb Learning From A Snapshot Image

Weighted Supervised Contrastive Learning and Domain Mixture For Generalized Person Re-Identification

PROX: A Reversed Once-For-All Network Training Paradigm For Efficient Edge Models Training in Medical Imaging

Dynamic Selection Network For Rgb-D Salient Object Detection

CBPT: A New Backbone For Enhancing information Transmission of Vision Transformers

Multiple-Phases-Sectionalized-Modulation Sar Barrage Jamming Method Based On Nlfm Signal

A Novel Contrastive Learning Framework For Self-Supervised Anomaly Detection

3D Residual interpolation For Spike Camera Demosaicing