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The 2021 ImageCLEF Benchmark: Multimedia Retrieval in Medical, Nature, Internet and Social Media Applications.

, , , , , , , , , , , , , , , , , , , , , , , , , , , , , и . ECIR (2), том 12657 из Lecture Notes in Computer Science, стр. 616-623. Springer, (2021)

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Szabolcs Péteri

Dezsö Peteri

Renaud Quekelberghe

Renaud Keriven

Renaud Quekelberghe

 

Другие публикации лиц с тем же именем

ImageCLEF 2019: Multimedia Retrieval in Lifelogging, Medical, Nature, and Security Applications., , , , , , , , , и 18 other автор(ы). ECIR (2), том 11438 из Lecture Notes in Computer Science, стр. 301-308. Springer, (2019)Sport Task: Fine Grained Action Detection and Classification of Table Tennis Strokes from Videos for MediaEval 2022., , , , , , и . MediaEval, том 3583 из CEUR Workshop Proceedings, CEUR-WS.org, (2022)Classification of Strokes in Table Tennis with a Three Stream Spatio-Temporal CNN for MediaEval 2020., , , , и . MediaEval, том 2882 из CEUR Workshop Proceedings, CEUR-WS.org, (2020)ImageCLEF 2020: Multimedia Retrieval in Lifelogging, Medical, Nature, and Internet Applications., , , , , , , , , и 22 other автор(ы). ECIR (2), том 12036 из Lecture Notes in Computer Science, стр. 533-541. Springer, (2020)A Brief Survey of Dynamic Texture Description and Recognition., и . CORES, том 30 из Advances in Soft Computing, стр. 17-26. Springer, (2005)Extraction and analysis of 3D kinematic parameters of Table Tennis ball from a single camera., , , и . ICPR, стр. 9468-9475. IEEE, (2020)Sport Task: Fine Grained Action Detection and Classification of Table Tennis Strokes from Videos for MediaEval 2022., , , , , , и . CoRR, (2023)Four-Stream Network and Dynamic Images for Sports Video Classification: Classification of Strokes in Table Tennis., , и . MediaEval, том 2882 из CEUR Workshop Proceedings, CEUR-WS.org, (2020)Optimal Choice of Motion Estimation Methods for Fine-Grained Action Classification with 3D Convolutional Networks., , , и . ICIP, стр. 554-558. IEEE, (2019)3D attention mechanism for fine-grained classification of table tennis strokes using a Twin Spatio-Temporal Convolutional Neural Networks., , , и . ICPR, стр. 6019-6026. IEEE, (2020)