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P2L: Predicting Transfer Learning for Images and Semantic Relations.

, , , , , , , , , and . CVPR Workshops, page 3284-3293. Computer Vision Foundation / IEEE, (2020)

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P2L: Predicting Transfer Learning for Images and Semantic Relations., , , , , , , , and . CoRR, (2019)Infrared image-guidance for intraoperative assessment of limb length discrepancy during total hip arthroplasty procedures., , , , , , , , , and 2 other author(s). Medical Imaging: Image-Guided Procedures, volume 11315 of SPIE Proceedings, page 113150D. SPIE, (2020)Active Learning with Data Distribution Shift Detection for Updating Localization Systems., , , and . IPIN, page 1-8. IEEE, (2021)Improving Transferability of Deep Neural Networks., , , and . CoRR, (2018)Graphical processing unit-based machine vision system for simultaneous measurement of shrinkage and soil release in fabrics., , , , , and . J. Electronic Imaging, 19 (2): 023009 (2010)"Boxing Clever": Practical Techniques for Gaining Insights into Training Data and Monitoring Distribution Shift., and . SAFECOMP Workshops, volume 11094 of Lecture Notes in Computer Science, page 393-405. Springer, (2018)Structural test coverage criteria for deep neural networks., , , , , and . ICSE (Companion Volume), page 320-321. IEEE / ACM, (2019)DyPolDroid: Protecting Against Permission-Abuse Attacks in Android., , , , , , and . Inf. Syst. Frontiers, 25 (2): 529-548 (April 2023)Improving Transferability of Deep Neural Networks., , , and . Domain Adaptation for Visual Understanding, Springer, (2020)DyPolDroid: Protecting Users and Organizations from Permission-Abuse Attacks in Android., , , , and . SKM, volume 1549 of Communications in Computer and Information Science, page 23-36. Springer, (2021)