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Diving Deep into Sentiment: Understanding Fine-tuned CNNs for Visual Sentiment Prediction.

, , , and . ASM@ACM Multimedia, page 57-62. ACM, (2015)

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Recipe1M+: A Dataset for Learning Cross-Modal Embeddings for Cooking Recipes and Food Images., , , , , , , and . IEEE Trans. Pattern Anal. Mach. Intell., 43 (1): 187-203 (2021)Cultural Event recognition with visual ConvNets and temporal models., , , , and . CVPR Workshops, page 36-44. IEEE Computer Society, (2015)Quality control in crowdsourced object segmentation., , , , and . ICIP, page 4243-4247. IEEE, (2015)Assessment of crowdsourcing and gamification loss in user-assisted object segmentation., , , , , and . Multimedia Tools Appl., 75 (23): 15901-15928 (2016)Inverse Cooking: Recipe Generation from Food Images., , , and . CoRR, (2018)Revamping Cross-Modal Recipe Retrieval With Hierarchical Transformers and Self-Supervised Learning., , , and . CVPR, page 15475-15484. Computer Vision Foundation / IEEE, (2021)RVOS: End-To-End Recurrent Network for Video Object Segmentation., , , , , and . CVPR, page 5277-5286. Computer Vision Foundation / IEEE, (2019)Elucidating image-to-set prediction: An analysis of models, losses and datasets., , , and . CoRR, (2019)Temporal Activity Detection in Untrimmed Videos with Recurrent Neural Networks., , and . CoRR, (2016)Mask-guided sample selection for semi-supervised instance segmentation., , , and . Multim. Tools Appl., 79 (35-36): 25551-25569 (2020)