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Meaning maps and saliency models based on deep convolutional neural networks are insensitive to image meaning when predicting human fixations
Research article (Cognition, 2020) · cited 32× · AI/ML
Meaning maps and saliency models based on deep convolutional neural networks are insensitive to image meaning when predicting human fixations
Summary
Meaning maps and saliency models based on deep convolutional neural networks are insensitive to image meaning when predicting human fixations is a scholarly article[1].
Key Facts
Meaning maps and saliency models based on deep convolutional neural networks are insensitive to image meaning when predicting human fixations's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Meaning maps and saliency models based on deep convolutional neural networks are insensitive to image meaning when predicting human fixations. Retrieved May 24, 2026, from https://4ort.xyz/entity/meaning-maps-and-saliency-models-based-on-deep-convolutional-neural-networks-are-insensitive-to-image-meaning-when-predi
MLA“Meaning maps and saliency models based on deep convolutional neural networks are insensitive to image meaning when predicting human fixations.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/meaning-maps-and-saliency-models-based-on-deep-convolutional-neural-networks-are-insensitive-to-image-meaning-when-predi.
BibTeX@misc{4ortxyz_meaning-maps-and-saliency-models-based-on-deep-convolutional-neural-networks-are-insensitive-to-image-meaning-when-predi_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Meaning maps and saliency models based on deep convolutional neural networks are insensitive to image meaning when predicting human fixations}}, year = {2026}, url = {https://4ort.xyz/entity/meaning-maps-and-saliency-models-based-on-deep-convolutional-neural-networks-are-insensitive-to-image-meaning-when-predi}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Meaning maps and saliency models based on deep convolutional neural networks are insensitive to image meaning when predicting human fixations — https://4ort.xyz/entity/meaning-maps-and-saliency-models-based-on-deep-convolutional-neural-networks-are-insensitive-to-image-meaning-when-predi (retrieved 2026-05-24)
