Retrieval-SfM
Introduced by Radenović et al. in CNN Image Retrieval Learns from BoW: Unsupervised Fine-Tuning with Hard Examples
The Retrieval-SFM dataset is used for instance image retrieval. The dataset contains 28559 images from 713 locations in the world. Each image has a label indicating the location it belongs to. Most locations are famous man-made architectures such as palaces and towers, which are relatively static and positively contribute to visual place recognition. The training dataset contains various perceptual changes including variations in viewing angles, occlusions and illumination conditions, etc.
Source: Localizing Discriminative Visual Landmarks for Place RecognitionPapers
| Paper | Code | Results | Date | Stars |
|---|
