SUN Database
When glancing at a magazine, or browsing the Internet, we are continuously being exposed to photographs. Despite of this overflow of visual information, humans are extremely good at remembering thousands of pictures along with some of their visual details. But not all images are equal in memory. Some stitch to our minds, and other are forgotten. In this paper we focus on the problem of predicting how memorable an image will be. We show that memorability is a stable property of an image that is shared across different viewers. We introduce a database for which we have measured the probability that each picture will be remembered after a single view. We analyze image features and labels that contribute to making an image memorable, and we train a predictor based on global image descriptors. We find that predicting image memorability is a task that can be addressed with current computer vision techniques. Whereas making memorable images is a challenging task in visualization and photography, this work is a first attempt to quantify this useful quality of images.
Variants: SUN, SUN - 0-Shot, SUN-LT
This dataset is used in 2 benchmarks:
| Task | Model | Paper | Date |
|---|---|---|---|
| Zero-Shot Transfer Image Classification | EVA-CLIP-18B | EVA-CLIP-18B: Scaling CLIP to 18 … | 2024-02-06 |
| Zero-Shot Transfer Image Classification | CLIP | Learning Transferable Visual Models From … | 2021-02-26 |
| Generalized Few-Shot Learning | DRAGON | From Generalized zero-shot learning to … | 2020-04-05 |
| Generalized Few-Shot Learning | DA-VAE | Generalized Zero- and Few-Shot Learning … | 2019-06-01 |
| Generalized Few-Shot Learning | CADA-VAE | Generalized Zero- and Few-Shot Learning … | 2019-06-01 |
| Generalized Few-Shot Learning | CA-VAE | Generalized Zero- and Few-Shot Learning … | 2019-06-01 |
| Generalized Few-Shot Learning | REVISE | Learning Robust Visual-Semantic Embeddings | 2017-03-17 |
| Zero-Shot Transfer Image Classification | Visual N-Grams | Learning Visual N-Grams from Web … | 2016-12-29 |
Recent papers with results on this dataset: