ArticlePeerJ2019
MemCat: a new category-based image set quantified on memorability.
Article in PeerJ, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
- Boundary memory and image memorability are systematically related.Psychonomic bulletin & review · 2026Article
- Have you really seen this illusory face before? Illusory faces bias recognition memory reports.Royal Society open science · 2026Article
- From pixels to perception: A benchmark for human-like symmetry detection.Vision research · 2026Article
- Modeling visual memorability assessment with autoencoders reveals characteristics of memorable images.Scientific reports · 2026Article
- Fixation duration on natural scenes is explained by memory encoding not processing demand.Nature neuroscience · 2026Article
- The speed limit of visual perception: Bidirectional influence of image memorability and processing speed on perceived duration and recognition.PLoS computational biology · 2026Article
- Controlling memorability of face images with generative models.Scientific reports · 2026Article
- Sharpened Visual Memory Representations Are Reflected in Inferotemporal Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- The temporal and spatial properties of memorability reveal insights into the art creation process.Cognition · 2026Article
- Greater Interference From Multiple Exposures During Memory Retrieval Drives More Memorable and Forgettable Experiences.Hippocampus · 2026Article
- Image memorability depends on interference in memory.Scientific reports · 2025Article
- Tell me why: the missing w in episodic memory's what, where, and when.Cognitive, affective & behavioral neuroscience · 2025Review
- Memorability shapes perceived time (and vice versa).Nature human behaviour · 2024Article
- Predicting memorability of face photographs with deep neural networks.Scientific reports · 2024Article
- Perceived image size modulates visual memory.Psychonomic bulletin & review · 2023Article
- Cross-cultural consistency of image memorability.Scientific reports · 2023Article
- Memory for artwork is predictable.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Article
- Priority coding in the visual system.Nature reviews. Neuroscience · 2022Review
- Understanding Image Memorability.Trends in cognitive sciences · 2020Review
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Images differ in their memorability in consistent ways across observers. What makes an image memorable is not fully understood to date. Most of the current insight is in terms of high-level semantic aspects, related to the content. However, research still shows consistent differences within semantic categories, suggesting a role for factors at other levels of processing in the visual hierarchy. To aid investigations into this role as well as contributions to the understanding of image memorability more generally, we present MemCat. MemCat is a category-based image set, consisting of 10K images representing five broader, memorability-relevant categories (animal, food, landscape, sports, and vehicle) and further divided into subcategories (e.g., bear). They were sampled from existing source image sets that offer bounding box annotations or more detailed segmentation masks. We collected memorability scores for all 10 K images, each score based on the responses of on average 99 participants in a repeat-detection memory task. Replicating previous research, the collected memorability scores show high levels of consistency across observers. Currently, MemCat is the second largest memorability image set and the largest offering a category-based structure. MemCat can be used to study the factors underlying the variability in image memorability, including the variability within semantic categories. In addition, it offers a new benchmark dataset for the automatic prediction of memorability scores (e.g., with convolutional neural networks). Finally, MemCat allows the study of neural and behavioral correlates of memorability while controlling for semantic category.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.