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41

Dynamic Template Selection Through Change Detection for Adaptive Siamese Tracking

Dynamic Template Selection Through Change Detection for Adaptive Siamese Tracking Madhu Kiran, Le Thanh Nguyen-Meidine, Rajat Sahay, Rafael Menelau Oliveira Cruz, Louis-Antoine Blais-Morin, Eric Granger IJCNN 2022: Int’l Joint Conf. on Neural Networks, Padua, Italy. 2022/7/18 Abstract : Deep Siamese trackers have recently gained much attention in recent years since they can track visual objects […]

42

Semi-Weakly Supervised Object Detection by Sampling Pseudo Ground-Truth Boxes

Semi-Weakly Supervised Object Detection by Sampling Pseudo Ground-Truth Boxes Akhil Meethal, Marco Pedersoli, Zhongwen Zhu, Francisco Perdigon, Eric Granger IJCNN 2022: Int’l Joint Conf. on Neural Networks, Padua, Italy. 2022/7/18 Abstract : Semi- and weakly-supervised learning have recently attracted considerable attention in the object detection literature since they can alleviate the cost of annotation needed […]

43

Semi-Weakly Supervised Object Detection by Sampling Pseudo Ground-Truth Boxes

Semi-Weakly Supervised Object Detection by Sampling Pseudo Ground-Truth Boxes Akhil Meethal, Marco Pedersoli, Zhongwen Zhu, Francisco Perdigon, Eric Granger IJCNN 2022: Int’l Joint Conf. on Neural Networks, Padua, Italy. 2022/7/18 Abstract : Semi- and weakly-supervised learning have recently attracted considerable attention in the object detection literature since they can alleviate the cost of annotation needed […]

44

Semi-Weakly Supervised Object Detection by Sampling Pseudo Ground-Truth Boxes

Semi-Weakly Supervised Object Detection by Sampling Pseudo Ground-Truth Boxes Akhil Meethal, Marco Pedersoli, Zhongwen Zhu, Francisco Perdigon, Eric Granger IJCNN 2022: Int’l Joint Conf. on Neural Networks, Padua, Italy. 2022/7/18 Abstract : Semi- and weakly-supervised learning have recently attracted considerable attention in the object detection literature since they can alleviate the cost of annotation needed […]

45

Improving Learning by Sampling

When: November 11, 2021 @ 12:00 pm – 1:00 pm

The next LIVIA seminar will be held on Thursday November 11 at 12h00 by Zoom. Title: Improving Learning by Sampling by Marco Pedersoli, professor in the Departement of Systems engineering     Résumé / Summary:[…]

46

Large-Margin Representation Learning

When: October 14, 2021 @ 12:00 pm – 1:00 pm

The next LIVIA seminar will be held at 12h00 on Thursday October 14 by Zoom. Title: Large-Margin Representation Learning by Jonathan de Matos, PhD candidate at LIVIA   Résumé / Summary: We present a novel[…]

49

Network Anomaly Detection Using Machine Learning

When: July 22, 2021 @ 12:00 pm – 1:00 pm

The next LIVIA seminar will be held at 12h00 on Thursday July  by Zoom. Title: Network Anomaly Detection Using Machine Learning by Kuljeet Kaur, Professor in the Department of Electrical Engineering of ÉTS Résumé / Summary:[…]

50

A comprehensive comparison of end-to-end approaches for handwritten digit string recognition

A comprehensive comparison of end-to-end approaches for handwritten digit string recognition Hochuli, Andre G. and Britto, Alceu S. and Saji, David A. and Saavedra, José M. and Sabourin, Robert and Oliveira, Luiz S. Expert Systems with Applications 2021 Abstract : Over the last decades, most approaches proposed for handwritten digit string recognition (HDSR) have resorted […]