Object Detection, Semi-supervised Learning, Pseudo-Labels, Deep Learning, Computer vision
Low-Rank Representation, Algorithm Unfolding, Theoretical Analysis, Partial Weight Coupling, Parameter Space
Generative adversarial networks, Multi-focus image fusion, Defocus Spread Effect, monocular depth estimation, Deep Guided Filter
Generative Adversarial Networks, Multi-Focus Image Fusion, Defocus Spread Effect, Monocular Depth Estimation, Deep Guided Filter
Nonnegative matrix factorization, Manifold regularization, semi-supervised learning, Class-driven constraint
Edge detection, Unsupervised learning, Pseudo labeling, Multi-scale modeling
Deep learning, Generalization bound, Fractional Brownian motion, stochastic gradient descent
Novel Class Discovery, Cross Domain Learning, Exclusive Style Removal
All-in-one image restoration, multiple degradation types, degradation-guided prompt learning, dynamic task curriculum
continual learning, Pre-trained Models, Parameter-Efficient Fine-Tuning, expert cooperation
