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Con-text: text detection using background connectivity for fine-grained object classification.

, , and . ACM Multimedia, page 757-760. ACM, (2013)

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No Spare Parts: Sharing Part Detectors for Image Categorization., , and . CoRR, (2015)Featureless: Bypassing feature extraction in action categorization., , , and . ICIP, page 196-200. IEEE, (2016)Large scale Gaussian Process for overlap-based object proposal scoring., , , and . Comput. Vis. Image Underst., (2016)The influence of cross-validation on video classification performance., , , and . ACM Multimedia, page 695-698. ACM, (2006)Making a Case for Learning Motion Representations with Phase., and . ECCV Workshops (3), volume 9915 of Lecture Notes in Computer Science, page 55-64. (2016)Con-Text: Text Detection for Fine-Grained Object Classification., , , and . IEEE Trans. Image Processing, 26 (8): 3965-3980 (2017)A step towards understanding why classification helps regression., , , and . ICCV, page 19915-19924. IEEE, (2023)Differentiable Transportation Pruning., , , , , and . ICCV, page 16911-16921. IEEE, (2023)Exploiting photographic style for category-level image classification by generalizing the spatial pyramid.. ICMR, page 14. ACM, (2011)Is there progress in activity progress prediction?, , , and . ICCV (Workshops), page 2950-2958. IEEE, (2023)