Machine learning for image processing

A3S: ADVERSARIAL LEARNING OF SEMANTIC REPRESENTATIONS FOR SCENE-TEXT SPOTTING

A novel Cross-Component Context Model for End-to-End Wavelet Image Coding

DivCon: Learning Concept Sequences for Semantically Diverse Image Captioning

Kernel estimation and deconvolution for blind image super-resolution

DUAL META CALIBRATION MIX FOR IMPROVING GENERALIZATION IN META-LEARNING

SEMI-SUPERVISED REMOTE SENSING IMAGE CHANGE DETECTION USING MEAN TEACHER MODEL FOR CONSTRUCTING PSEUDO-LABELS

SAR IMAGE DESPECKLING WITH RESIDUAL-IN-RESIDUAL DENSE GENERATIVE ADVERSARIAL NETWORK

Affinity Learning with Blind-spot Self-Supervision for Image Denoising

A Comprehensive Comparison of Projections in Omnidirectional Super-Resolution

Efficient Online Convolutional Dictionary Learning Using Approximate Sparse Components

Laryngeal Leukoplakia Classification via Dense Multiscale Feature Extraction in White Light Endoscopy Images

MHSCNet: A Multimodal Hierarchical Shot-aware Convolutional Network for Video Summarization