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Minimum bounding box

Known as: Minimum enclosing rectangle, Axis aligned bounding box, Object oriented bounding box 
In geometry, the minimum or smallest bounding or enclosing box for a point set (S) in N dimensions is the box with the smallest measure (area, volume… Expand
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Papers overview

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Highly Cited
2017
Highly Cited
2017
We present a conceptually simple, flexible, and general framework for object instance segmentation. Our approach efficiently… Expand
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Highly Cited
2017
Highly Cited
2017
We study the problem of attributing the prediction of a deep network to its input features, a problem previously studied by… Expand
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Highly Cited
2016
Highly Cited
2016
In this work, we revisit the global average pooling layer proposed in [13], and shed light on how it explicitly enables the… Expand
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Highly Cited
2014
Highly Cited
2014
We present a new dataset with the goal of advancing the state-of-the-art in object recognition by placing the question of object… Expand
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Highly Cited
2014
Highly Cited
2014
The use of object proposals is an effective recent approach for increasing the computational efficiency of object detection. We… Expand
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Highly Cited
2014
Highly Cited
2014
We aim to detect all instances of a category in an image and, for each instance, mark the pixels that belong to it. We call this… Expand
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Highly Cited
2013
Highly Cited
2013
Deep Neural Networks (DNNs) have recently shown outstanding performance on image classification tasks [14]. In this paper we go… Expand
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Highly Cited
2008
Highly Cited
2008
Thinking about intelligent robots involves consideration of how such systems can be enabled to perceive, interpret and act in… Expand
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Highly Cited
1999
Highly Cited
1999
We present an efficient O(n+1/?4.5-time algorithm for computing a (1+?)-approximation of the minimum-volume bounding box of n… Expand
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Highly Cited
1996
Highly Cited
1996
We present a data structure and an algorithm for efficient and exact interference detection amongst complex models undergoing… Expand
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