NUS-WIDE

NUS-WIDE is a dataset that contains a large collection of images annotated with tags, used to evaluate machine learning models in the context of visual recognition and retrieval tasks.

Papers using NUS-WIDE (2)

FedCVT: Semi-supervised Vertical Federated Learning with Cross-view Training2020 · 13 citesVFLIP: A Backdoor Defense for Vertical Federated Learning via Identification and Purification2024 · 6 cites