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Weather Classification: A new multi-class dataset, data augmentation approach and comprehensive evaluations of Convolutional Neural Networks.

, , , , and . AHS, page 305-310. IEEE, (2018)

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Performance Characterization of Image Feature Detectors in Relation to the Scene Content Utilizing a Large Image Database., , , , and . IEEE Access, (2018)Material Classification in the Wild: Do Synthesized Training Data Generalise Better than Real-World Training Data?, , , , , , and . CoRR, (2017)Levelling the Playing Field: A Comprehensive Comparison of Visual Place Recognition Approaches under Changing Conditions., , , , and . CoRR, (2019)Multi-Scale Pixel-Based Image Fusion Using Multivariate Empirical Mode Decomposition., , , , , and . Sensors, 15 (5): 10923-10947 (2015)Detecting Compromised Programs for Embedded System Applications., , , , , , , and . ARCS, volume 8350 of Lecture Notes in Computer Science, page 221-232. Springer, (2014)Weather Classification: A new multi-class dataset, data augmentation approach and comprehensive evaluations of Convolutional Neural Networks., , , , and . AHS, page 305-310. IEEE, (2018)Real-Time Application Processing for FPGA-Based Resilient Embedded Systems in Harsh Environments., , , , and . AHS, page 299-304. IEEE, (2018)On-Board Vision Processing for Small UAVs: Time to Rethink Strategy., and . AHS, page 75-81. IEEE Computer Society, (2009)DisplaceNet: Recognising Displaced People from Images by Exploiting Dominance Level., , , and . CVPR Workshops, page 33-38. Computer Vision Foundation / IEEE, (2019)Are Performance Differences of Interest Operators Statistically Significant?, , and . CAIP (2), volume 6855 of Lecture Notes in Computer Science, page 429-436. Springer, (2011)