Improving Vision Transformers to Learn Small-Size Dataset From Scratch

Cyclic Learning based Light-weight Network for Inverse Tone Mapping

CFA: Coupled-Hypersphere-Based Feature Adaptation for Target-Oriented Anomaly Localization

Image based rainfall amount estimation for auto-wiping of vehicles

Balanced knowledge distillation for one-stage object detector

Synthesized Rain images for Deraining Algorithms

Knowledge Transfer via Decomposing Essential Information in Convolutional Neural Networks

Probabilistic Principal Geodesic Deep Metric Learning

Deep Metric Learning with Manifold Class Variability Analysis

Zero-Shot Knowledge Distillation Using Label-Free Adversarial Perturbation With Taylor Approximation