Revisited Paris

The 'Revisited Paris' dataset is a benchmark that contains images used to evaluate low-quality image retrieval methods by introducing various types of noise to clean query images.

Papers using Revisited Paris (2)

Coarse-to-Fine: Learning Compact Discriminative Representation for Single-Stage Image Retrieval2023AdapNet: Adaptive Noise-Based Network for Low-Quality Image Retrieval2024