Abstract: Most current methods for image emotion analysis suffer from the affective gap, in which features directly extracted from images are supervised by a single emotional label, which may not ...

Abstract: Data-efficient image classification, which focuses on achieving accurate classification performance with limited labeled data, has garnered significant attention. Genetic programming (GP) ...

What started as genuine praise from your boss might be landing as subtle insults with your younger colleagues—and neither of you realizes the conversation went sideways. "You're so articulate for ...

This repository is the official PyTorch implementation of DUKD: Data Upcycling Knowledge Distillation for Image Super-Resolution. Knowledge distillation (KD) compresses deep neural networks by ...