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Detecting anomalies in crowded scenes via locality-constrained affine subspace coding.

, , , and . J. Electronic Imaging, 26 (4): 43002 (2017)

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Detecting anomalies in crowded scenes via locality-constrained affine subspace coding., , , and . J. Electronic Imaging, 26 (4): 43002 (2017)High-Performance Object Detection for Optical Remote Sensing Images with Lightweight Convolutional Neural Networks., , , , , and . HPCC/DSS/SmartCity, page 585-592. IEEE, (2020)Energy-Constrained Model Pruning for Efficient In-Orbit Object Detection in Optical Remote Sensing Images., , , and . SINC, volume 2057 of Communications in Computer and Information Science, page 34-49. Springer, (2023)A Hybrid Statistics and Representation-Based Anomaly Detector for Hyperspectral Images., , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 12 (9): 3650-3664 (2019)Early event detection based on dynamic images of surveillance videos., , , , and . J. Vis. Commun. Image Represent., (2018)Improving Hyperspectral Anomaly Detection With a Simple Weighting Strategy., , , and . IEEE Geosci. Remote. Sens. Lett., 16 (1): 95-99 (2019)APPFNet: Adaptive point-pixel fusion network for 3D semantic segmentation with neighbor feature aggregation., , , , , and . Expert Syst. Appl., (2024)Crack-SegNet: Surface Crack Detection in Complex Background Using Encoder-Decoder Architecture., , , , and . SSIP, page 15-22. ACM, (2021)Underwater object detection algorithm based on feature enhancement and progressive dynamic aggregation strategy., , , , , , and . Pattern Recognit., (July 2023)A deep neural network for real-time detection of falling humans in naturally occurring scenes., , , and . Neurocomputing, (2017)