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Semi-Supervised Hyperspectral Object Detection Challenge Results - PBVS 2022.

A. Rangnekar, Z. Mulhollan, A. Vodacek, M. Hoffman, Á. Sappa, E. Blasch, J. Yu, L. Zhang, S. Du, H. Chang, K. Lu, Z. Zhang, F. Gao, Y. Yu, F. Shuang, L. Wang, Q. Ling, P. Shyam, K. Yoon, and K. Kim. CVPR Workshops, page 389-397. IEEE, (2022)

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Uncertainty Estimation for Semantic Segmentation of Hyperspectral Imagery.A. Rangnekar, E. Ientilucci, C. Kanan, and M. Hoffman. DDDAS, volume 12312 of Lecture Notes in Computer Science, page 163-170. Springer, (2020)Calibrated Vehicle Paint Signatures for Simulating Hyperspectral Imagery.Z. Mulhollan, A. Rangnekar, T. Bauch, M. Hoffman, and A. Vodacek. CVPR Workshops, page 498-506. Computer Vision Foundation / IEEE, (2020)Semantic Segmentation with Active Semi-Supervised Learning.A. Rangnekar, C. Kanan, and M. Hoffman. WACV, page 5955-5966. IEEE, (2023)Semi-Supervised Hyperspectral Object Detection Challenge Results - PBVS 2022.A. Rangnekar, Z. Mulhollan, A. Vodacek, M. Hoffman, Á. Sappa, E. Blasch, J. Yu, L. Zhang, S. Du, H. Chang and 10 other author(s). CVPR Workshops, page 389-397. IEEE, (2022)SpecAL: Towards Active Learning for Semantic Segmentation of Hyperspectral Imagery.A. Rangnekar, E. Ientilucci, C. Kanan, and M. Hoffman. DDDAS, volume 13984 of Lecture Notes in Computer Science, page 196-204. Springer, (2022)3D Swin Transformer for Partial Medical Auto Segmentation.A. Rangnekar, J. Jiang, and H. Veeraraghavan. FLARE@MICCAI, volume 14544 of Lecture Notes in Computer Science, page 222-235. Springer, (2023)AeroRIT: A New Scene for Hyperspectral Image Analysis.A. Rangnekar, N. Mokashi, E. Ientilucci, C. Kanan, and M. Hoffman. CoRR, (2019)Occlusion Detection for Dynamic Adaptation.Z. Mulhollan, A. Rangnekar, A. Vodacek, and M. Hoffman. DDDAS, volume 12312 of Lecture Notes in Computer Science, page 337-344. Springer, (2020)Aerial Vehicle Tracking by Adaptive Fusion of Hyperspectral Likelihood Maps.B. Uzkent, A. Rangnekar, and M. Hoffman. CVPR Workshops, page 233-242. IEEE Computer Society, (2017)Fine-Tuning for One-Look Regression Vehicle Counting in Low-Shot Aerial Datasets.A. Rangnekar, Y. Yao, M. Hoffman, and A. Divakaran. ICPR Workshops (8), volume 12668 of Lecture Notes in Computer Science, page 5-18. Springer, (2020)

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Semi-Supervised Hyperspectral Object Detection Challenge Results - PBVS 2022.

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Disambiguation of "Rangnekar, Aneesh"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Semi-Supervised Hyperspectral Object Detection Challenge Results - PBVS 2022.

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Semi-Supervised Hyperspectral Object Detection Challenge Results - PBVS 2022.