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Datasets that capture the connection between vision, language, and affection are limited, causing a lack of understanding of the emotional aspect of human intelligence.
Reliability and validity of izard’s differential emotions scale
G. J. Boyle · 1984
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Affect theory
S. S. Tomkins · 1984
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Stability of emotion experiences and their relations to traits of personality
C. E. Izard, D. Z. Libero, P. Putnam, and O. M. Haynes · 1993
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Long short-term memory
S. Hochreiter and J. Schmidhuber · 1997
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The psychology of prejudice, sterotyping, and discrimination: An overview
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Solving the emotion paradox: Categorization and the experience of emotion
L. F. Barrett · 2006
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Dataset issues in object recognition
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Of mice and men: Natural kinds of emotions in the mammalian brain? a response to panksepp and izard
L. F. Barrett, K. A. Lindquist, E. Bliss-Moreau, S. Duncan, M. Gendron, J. Mize, and L. Brennan · 2007
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No harm, no foul: The outcome bias in ethical judgments
F. Gino, D. Moore, and M. Bazerman · 2008
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Unbiased look at dataset bias
A. Torralba and A. A. Efros · 2011
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Referitgame: Referring to objects in photographs of natural scenes
S. Kazemzadeh, V. Ordonez, M. Matten, and T. Berg · 2014
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Microsoft coco: Common objects in context
T.-Y. Lin, M. Maire, S. Belongie, J. Hays, P. Perona, D. Ramanan, P. Dollár, and C. L. Zitnick · 2014
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Very deep convolutional networks for large-scale image recognition
K. Simonyan and A. Zisserman · 2014
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From image descriptions to visual denotations: New similarity metrics for semantic inference over event descriptions
P. Young, A. Lai, M. Hodosh, and J. Hockenmaier · 2014
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Vqa: Visual question answering
S. Antol, A. Agrawal, J. Lu, M. Mitchell, D. Batra, C. L. Zitnick, and D. Parikh · 2015
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Criteria for selection and evaluation of scales and measures
G. J. Boyle, D. H. Saklofske, and G. Matthews · 2015
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The expression of the emotions in man and animals
C. Darwin · 2015
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Show, attend and tell: Neural image caption generation with visual attention
K. Xu, J. Ba, R. Kiros, K. Cho, A. Courville, R. Salakhudinov, R. Zemel, and Y. Bengio · 2015
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Generation and comprehension of unambiguous object descriptions
J. Mao, J. Huang, A. Toshev, O. Camburu, A. L. Yuille, and K. Murphy · 2016
Neural baby talk
J. Lu, J. Yang, D. Batra, and D. Parikh · 2018
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Conceptual captions: A cleaned, hypernymed, image alt-text dataset for automatic image captioning
P. Sharma, N. Ding, S. Goodman, and R. Soricut · 2018
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Mattnet: Modular attention network for referring expression comprehension
L. Yu, Z. Lin, X. Shen, J. Yang, X. Lu, M. Bansal, and T. L. Berg · 2018
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Mapping 24 emotions conveyed by brief human vocalization
A. S. Cowen, H. A. Elfenbein, P. Laukka, and D. Keltner · 2019
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Roberta: A robustly optimized bert pretraining approach
Y. Liu, M. Ott, N. Goyal, J. Du, M. Joshi, D. Chen, O. Levy, M. Lewis, L. Zettlemoyer, and V. Stoyanov · 2019
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Modeling context between objects for referring expression understanding
V. K. Nagaraja, V. I. Morariu, and L. S. Davis · 2016
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Modeling context in referring expressions
L. Yu, P. Poirson, S. Yang, A. C. Berg, and T. L. Berg · 2016
Cited alongside, same era.
Self-report captures 27 distinct categories of emotion bridged by continuous gradients
A. S. Cowen and D. Keltner · 2017
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Making the v in vqa matter: Elevating the role of image understanding in visual question answering
Y. Goyal, T. Khot, D. Summers-Stay, D. Batra, and D. Parikh · 2017
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Visual genome: Connecting language and vision using crowdsourced dense image annotations
R. Krishna, Y. Zhu, O. Groth, J. Johnson, K. Hata, J. Kravitz, S. Chen, Y. Kalantidis, L.-J. Li, D. A. Shamma, et al · 2017
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Context-aware captions from context-agnostic supervision
R. Vedantam, S. Bengio, K. Murphy, D. Parikh, and G. Chechik · 2017
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Meshed-memory transformer for image captioning
M. Cornia, M. Stefanini, L. Baraldi, and R. Cucchiara · 2020
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Semantic space theory: A computational approach to emotion
A. S. Cowen and D. Keltner · 2020
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What music makes us feel: At least 13 dimensions organize subjective experiences associated with music across different cultures
A. S. Cowen, X. Fang, D. Sauter, and D. Keltner · 2020
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Goemotions: A dataset of fine-grained emotions
D. Demszky, D. Movshovitz-Attias, J. Ko, A. Cowen, G. Nemade, and S. Ravi · 2020
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Connecting vision and language with localized narratives
J. Pont-Tuset, J. Uijlings, S. Changpinyo, R. Soricut, and V. Ferrari · 2020
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Artemis: Affective language for visual art
P. Achlioptas, M. Ovsjanikov, K. Haydarov, M. Elhoseiny, and L. Guibas · 2021
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Sixteen facial expressions occur in similar contexts worldwide
A. S. Cowen, D. Keltner, F. Schroff, B. Jou, H. Adam, and G. Prasad · 2021
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Wikiart dataset
W. N. Org · 2021
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