Abstract: The goal of zero-shot object detection (ZSD) is to localize and classify objects that haven’t been presented in the training set. Drawing inspiration from the success of generative models, ...
KYIV, Ukraine (AP) — When Alina Dotsenko returned to her museum after Ukrainian forces retook the southern city of Kherson from Russian forces in late 2022, she found thousands of artworks had ...
Abstract: In object localization, methods based on a top-down search strategy that focus on learning a policy have been widely researched. The performance of these methods relies heavily on the policy ...
Specifically for the classification task, the goal is, for each of the classes predict the presence/ absence of at least one object of that class in a test image. We will use Pascal VOC 2012 dataset ...
ABSTRACT: The detection and recognition of food pictures has become an emerging application field of computer vision. However, due to the small differences between the categories of food pictures and ...
ABSTRACT: This paper proposes an efficient object localization method based on a vanishing line. The proposed method can be much improved in time efficiency since it requires scanning only vanishing ...
2018/9/18 - update all of recent papers and make some diagram about history of object detection using deep learning. 2018/9/26 - update codes of papers. (official and unofficial) 2018/october - update ...
Five ILSVRC-2010 test images in the first column. Remaining columns show the training images that produce feature vectors in the last hidden layer with the smallest Euclidean distance from the feature ...
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