Shannon Seminar Room, Place du Levant 3, Maxwell Building, 1st floor -- Wednesday, 18 April 2018 at 15:00 (45 min.)
{
"name":"On the recent progress of object detection using neural networks",
"description":"Since the success of convolutional neural networks for image classification on the ImageNet dataset in 2012, the computer vision community has made use of neural networks to raise the state-of-the-art performance for a wide range of problems, e.g. classification, segmentation, ROI detection, object detection, image captioning, ... In this seminar, after a brief introduction to the neural network paradigm, we will dicuss the recent progress in object detection through some particular models. We will observe that modern neural networks can learn to infer jointly the bounding box and the class of each object of a scene in an end-to-end manner.",
"startDate":"2018-04-18",
"endDate":"2018-04-18",
"startTime":"15:00",
"endTime":"15:45",
"location":"Shannon Seminar Room, Place du Levant 3, Maxwell Building, 1st floor",
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"timeZone":"Europe/Berlin",
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Since the success of convolutional neural networks for image classification on the ImageNet dataset in 2012, the computer vision community has made use of neural networks to raise the state-of-the-art performance for a wide range of problems, e.g. classification, segmentation, ROI detection, object detection, image captioning, ... In this seminar, after a brief introduction to the neural network paradigm, we will dicuss the recent progress in object detection through some particular models. We will observe that modern neural networks can learn to infer jointly the bounding box and the class of each object of a scene in an end-to-end manner.
