mlsanityData to 7 Oct 2026

AMNet: Memorability Estimation with Attention

arXiv 1804.03115 ↗First posted 9 Apr 2018cs.AI cs.CV cs.LGcited by 16

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Abstract (arXiv)

In this paper we present the design and evaluation of an end-to-end trainable, deep neural network with a visual attention mechanism for memorability estimation in still images. We analyze the suitability of transfer learning of deep models from image classification to the memorability task. Further on we study the impact of the attention mechanism on the memorability estimation and evaluate our network on the SUN Memorability and the LaMem datasets. Our network outperforms the existing state of the art models on both datasets in terms of the Spearman's rank correlation as well as the mean squared error, closely matching human consistency.

Key facts. Cited by 16 papers in the map (data through 7 Oct 2026). First posted on arXiv 9 Apr 2018.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 4; 2022: 4; 2023: 3; 2024: 0; 2025: 3; 2026: 2.

16 papers.

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  1. 2021A Circular-Structured Representation for Visual Emotion Distribution Learningcited by 17
  2. 2021Embracing New Techniques in Deep Learning for Estimating Image Memorabilitycited by 10
  3. 2023Long-Term Ad Memorability: Understanding & Generating Memorable Adscited by 9
  4. 2021Memorability: An image-computable measure of information utilitycited by 8
  5. 2022What Images are More Memorable to Machines?cited by 5
  6. 2021An Efficient Style Virtual Try on Network for Clothing Business Industrycited by 2
  7. 2022Controlling Memorability of Face Imagescited by 2
  8. 2025Don't Judge Before You CLIP: A Unified Approach for Perceptual Taskscited by 2
  9. 2022Analysing the Memorability of a Procedural Crime-Drama TV Series, CSIcited by 1
  10. 2022Comprehensive Literature Survey on Deep Learning used in Image Memorability Prediction and Modificationcited by 1
  11. 2023Feature representations useful for predicting image memorabilitycited by 1
  12. 2023Seeing Eye to AI: Comparing Human Gaze and Model Attention in Video Memorabilitycited by 1
4 more
  1. 2025Complexity in Complexity: Understanding Visual Complexity Through Structure, Color, and Surprisecited by 1
  2. 2025Enhancing Video Memorability Prediction with Text-Motion Cross-modal Contrastive Loss and Its Application in Video Summarizationcited by 0
  3. 2026How to Take a Memorable Picture? Empowering Users with Actionable Feedbackcited by 0
  4. 2026Human-Inspired Context-Selective Multimodal Memory for Social Robotscited by 0