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Towards a universal detector by mining concepts with small semantic gaps.

, , and . Expert Syst. Appl., 39 (12): 11312-11320 (2012)

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Towards a universal detector by mining concepts with small semantic gaps., , and . Expert Syst. Appl., 39 (12): 11312-11320 (2012)Shot-Level Camera Motion Estimation Based on a Parametric Model., , , , , , and . TRECVID, National Institute of Standards and Technology (NIST), (2005)Digesting Commercial Clips from TV Streams., , , , and . IEEE Multim., 15 (1): 28-41 (2008)MOFI: Learning Image Representations from Noisy Entity Annotated Images., , , , , , , , , and 1 other author(s). CoRR, (2023)TV Commercial Classification by using Multi-Modal Textual Information., , , and . ICME, page 497-500. IEEE Computer Society, (2006)Modified discrete clustering technique: a novel approach to represent membership functions of fuzzy sets., , and . ICARCV, page 2023-2028. IEEE, (2004)Personalized event-based news video retrieval with dynamic user-log., , , , , and . ICME, page 1157-1160. IEEE Computer Society, (2008)Towards a universal detector by mining concepts with small semantic gaps., , and . ACM Multimedia, page 1707-1710. ACM, (2010)Less is More: Removing Text-regions Improves CLIP Training Efficiency and Robustness., , , , , , , and . CoRR, (2023)STAIR: Learning Sparse Text and Image Representation in Grounded Tokens., , , , , , , , , and 1 other author(s). EMNLP, page 15079-15094. Association for Computational Linguistics, (2023)