Semi-supervised facial expression recognition using reduced spatial features and Deep Belief Networks
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SAFER's accuracy of 98.5% on CK+ is comparable to the best-reported result of 98.57% accuracy in [25].
“For the CK+ dataset, we find the best-reported result to be 98.57% accuracy as in [25], our accuracy of 98.5% is comparable to it.”
From SAFER: Situation Aware Facial Emotion Recognition (2023) · cites this paper as [25]
Cites
Histograms of Oriented Gradients for Human Detection
Dalal, N., & Triggs, B. (2005) · 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) · doi:10.1109/cvpr.2005.177 · Cited by 33,584 · see citing works
Training Products of Experts by Minimizing Contrastive Divergence
Hinton, G. E. (2002) · Neural Computation · doi:10.1162/089976602760128018 · Cited by 4,879 · see citing works
Lucey, P., Cohn, J. F., Kanade, T., Saragih, J., Ambadar, Z., & Matthews, I. (2010) · 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops · doi:10.1109/cvprw.2010.5543262 · Cited by 4,303 · see citing works
Automatic analysis of facial expressions: the state of the art
Pantie, M., & Rothkrantz, L. J. M. (2000) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.895976 · Cited by 1,778 · see citing works
Recognizing action units for facial expression analysis
Tian, Y.-I., Kanade, T., & Cohn, J. F. (2001) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.908962 · Cited by 1,745 · see citing works
Acoustical properties of speech as indicators of depression and suicidal risk
France, D. J., Shiavi, R. G., Silverman, S., Silverman, M., & Wilkes, M. (2000) · IEEE Transactions on Biomedical Engineering · doi:10.1109/10.846676 · Cited by 504 · see citing works
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Facial Sentiment Analysis Using AI Techniques: State-of-the-Art, Taxonomies, and Challenges
Patel, K., Mehta, D., Mistry, C., Gupta, R., Tanwar, S., Kumar, N., & Alazab, M. (2020) · IEEE Access · doi:10.1109/access.2020.2993803 · Cited by 157 · see citing works
SAFER: Situation Aware Facial Emotion Recognition
Palash, M., & Bhargava, B. (2023) · arXiv · doi:10.48550/arxiv.2306.09372 · Cited by 2 · see citing works
“57% accuracy as in [25], our accuracy of 98.”
Result
- Authors
- Rajendra Kurup, A., Ajith, M., & Martínez Ramón, M.
- Affiliations
- University of New Mexico (US)
- Venue
- Neurocomputing
- Publisher
- Elsevier BV
- Published
- 2019-11
- Volume
- 367
- Pages
- 188-197
- ISSN
- 0925-2312 (ISSN-L)
- OpenAlex
- W2969034172
- Cited by
- 49
- References
- 6
- Citations by year
- 2025: 2 · 2024: 4 · 2023: 4 · 2022: 12 · 2021: 12 · 2020: 14 · 2019: 1
- FWCI
- 11.49
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Neurocomputing (acceptedVersion)
- Funders
- University of New Mexico
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Emotion and Mood Recognition
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Face and Expression Recognition
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Face recognition and analysis
- Keywords
- facial expression recognition, emotion recognition, semi-supervised learning, deep belief network, feature selection, histogram of oriented gradients, oral region, feature reduction, unlabeled data
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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