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Dependency Exploitation: A Unified CNN-RNN Approach for Visual Emotion Recognition
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Visualizing and Understanding Convolutional Networks
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Color Based Bags-of-Emotions
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inferredcites →https://doi.org/10.1109/iccv.2015.162openalex-snapshot
Semantic Image Segmentation via Deep Parsing Network
inferredcites →https://doi.org/10.1109/icip.2008.4711701openalex-snapshot
Emotional valence categorization using holistic image features
inferredcites →https://doi.org/10.1109/icip.2008.4711705openalex-snapshot
A survey on emotional semantic image retrieval
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Multi-scale blocks based image emotion classification using multiple instance learning
inferredcites →https://doi.org/10.1109/msp.2011.941851openalex-snapshot
Aesthetics and Emotions in Images
inferredcites →https://doi.org/10.1109/tmm.2012.2194993openalex-snapshot
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inferredcites →https://doi.org/10.1111/j.1469-8986.1979.tb01511.xopenalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-030-81465-6_4openalex-snapshot
Computational Emotion Analysis From Images: Recent Advances and Future Directions
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inferred← citeshttps://doi.org/10.1007/978-981-97-8620-6_16openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.neucom.2019.04.033openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.neucom.2021.10.062openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.patcog.2025.112098openalex-snapshot
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inferred← citeshttps://doi.org/10.1017/9781108639286.005openalex-snapshot
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inferred← citeshttps://doi.org/10.1017/9781108639286.007openalex-snapshot
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inferred← citeshttps://doi.org/10.1017/9781108639286.008openalex-snapshot
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inferred← citeshttps://doi.org/10.1017/9781108639286.009openalex-snapshot
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inferred← citeshttps://doi.org/10.1017/9781108639286.010openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/mmul.2021.3079195openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/taffc.2018.2818685openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/taffc.2023.3331776openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tmm.2019.2912735openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tmm.2019.2939744openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tmm.2022.3144804openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tmm.2022.3214989openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tpami.2021.3094362openalex-snapshot
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inferred← citeshttps://doi.org/10.24138/jcomss-2021-0072openalex-snapshot
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inferred← citeshttps://doi.org/10.24963/ijcai.2018/780openalex-snapshot
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inferred← citeshttps://doi.org/10.24963/ijcai.2019/141openalex-snapshot
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inferred← citeshttps://doi.org/10.31234/osf.io/t9p3fopenalex-snapshot
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inferred← citeshttps://doi.org/10.32657/10356/161247openalex-snapshot
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inferred← citeshttps://doi.org/10.3389/fpsyg.2022.911686openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/electronics13204014openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/s21062136openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/s24217099openalex-snapshot
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inferred← citeshttps://doi.org/10.3724/sp.j.1089.2023.19742openalex-snapshot
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inferred← citeshttps://doi.org/10.48550/arxiv.2106.12450openalex-snapshot
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inferred← citeshttps://doi.org/10.7717/peerj-cs.3265openalex-snapshot
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