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TRECVID 2020: A comprehensive campaign for evaluating video retrieval tasks across multiple application domains., , , , , , , , , and 7 other author(s). TRECVID, National Institute of Standards and Technology (NIST), (2020)Range Scans based 3D Shape Retrieval., , , , , , , , , and 7 other author(s). 3DOR@Eurographics, page 153-160. Eurographics Association, (2015)SHREC'17 Track: Point-Cloud Shape Retrieval of Non-Rigid Toys., , , , , , , , , and 8 other author(s). 3DOR@Eurographics, Eurographics Association, (2017)2020 Sequestered Data Evaluation for Known Activities in Extended Video: Summary and Results., , , , , , , , and . WACV (Workshops), page 51-59. IEEE, (2021)An evaluation of local shape descriptors for 3D shape retrieval., and . Three-Dimensional Image Processing (3DIP) and Applications, volume 8290 of SPIE Proceedings, page 82900N. SPIE, (2012)SHREC '11 Track: Generic Shape Retrieval., , , , , , , , , and 2 other author(s). 3DOR, page 65-69. Eurographics Association, (2011)SHREC'09 Track: Querying with Partial Models., , , , , and . 3DOR, page 69-76. Eurographics Association, (2009)Large Scale Comprehensive 3D Shape Retrieval., , , , , , , , , and 5 other author(s). 3DOR, page 131-140. Eurographics Association, (2014)Feature measures for the segmentation of neuronal membrane using a machine learning algorithm., and . ICMV, volume 9067 of SPIE Proceedings, page 90670V. SPIE, (2013)TRECVID 2018: Benchmarking Video Activity Detection, Video Captioning and Matching, Video Storytelling Linking and Video Search., , , , , , , , , and 5 other author(s). TRECVID, National Institute of Standards and Technology (NIST), (2018)