The goal of zero-shot learning (ZSL) is to recognize objects from unseen classes correctly
without corresponding training samples. The existing ZSL methods are trained on a set of …

Visual reasoning is a special kind of visual question answering, which is essentially multi-
step and compositional, and also requires intensive text-visual interaction. The most …

The COVID-19 pandemic put significant strain on societies and their resources, with the
healthcare system and workers being particularly affected. Artificial Intelligence (AI) offers …

Deep learning-based cell segmentation is increasingly utilized in cell biology due to the
massive accumulation of large-scale datasets and excellent progress in model architecture …

Zero-shot object classification aims to recognize the object of unseen classes whose
supervised data are unavailable in the training stage. Recent zero-shot learning (ZSL) …

Since the start of the Sentinel-1 (S-1) mission, numerous cases of severe image degradation
caused by radio frequency interference (RFI) have been reported, which puts forward an …

Zero-Shot Learning has been a highlighted research topic in both vision and language
areas. Recently, most existing methods adopt structured knowledge information to model …

Zero-shot learning (ZSL) is the task of recognizing samples from their related classes which
have never been seen during model training. ZSL is generally realized through learning a …

Despite offering efficient solutions to a plethora of novel challenges, existing approaches on
mobility modeling require a large amount of labeled data when training effective and …

Compared with zero-shot learning (ZSL), the generalized zero-shot learning (GZSL) is more
challenging since its test samples are taken from both seen and unseen classes. Most …