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Perceptually Motivated Shape Context Which Uses Shape Interiors, и . CoRR, (2012)Improving shape context using geodesic information and reflection invariance., и . Intelligent Robots and Computer Vision: Algorithms and Techniques, том 8662 из SPIE Proceedings, стр. 86620E. SPIE, (2013)Measuring the effectiveness of bad pixel detection algorithms using the ROC curve., и . IEEE Trans. Consumer Electronics, 56 (4): 2511-2519 (2010)Exploiting shape properties for improved retrieval, discrimination and recognition. Nanyang Technological University, Singapore, (2014)Empirical Minimum Bayes Risk Prediction., , , и . IEEE Trans. Pattern Anal. Mach. Intell., 39 (1): 75-86 (2017)Can relative skill be determined from a photographic portfolio?, , , и . Human Vision and Electronic Imaging, том 8651 из SPIE Proceedings, стр. 86510X. SPIE, (2013)Comparing automated and human ratings of photographic aesthetics., , и . CIC, стр. 217-222. Society for Imaging Science and Technology, (2011)Dense sampling of shape interiors for improved representation., и . Image Processing: Machine Vision Applications, том 8661 из SPIE Proceedings, стр. 866109. SPIE, (2013)Deep Residual Learning for Instrument Segmentation in Robotic Surgery., , , , и . CoRR, (2017)Empirical Minimum Bayes Risk Prediction: How to Extract an Extra Few % Performance from Vision Models with Just Three More Parameters., , и . CVPR, стр. 1043-1050. IEEE Computer Society, (2014)