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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… 
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2019
Highly Cited
2019
Bounding box regression is the crucial step in object detection. In existing methods, while ℓn-norm loss is widely adopted for… 
Highly Cited
2018
Highly Cited
2018
We propose CornerNet, a new approach to object detection where we detect an object bounding box as a pair of keypoints, the top… 
Highly Cited
2018
Highly Cited
2018
In this paper we illustrate how to perform both visual object tracking and semi-supervised video object segmentation, in real… 
Highly Cited
2017
Highly Cited
2017
We present a conceptually simple, flexible, and general framework for object instance segmentation. Our approach efficiently… 
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… 
Highly Cited
2017
Highly Cited
2017
Accurate detection of objects in 3D point clouds is a central problem in many applications, such as autonomous navigation… 
Highly Cited
2015
Highly Cited
2015
In this work, we revisit the global average pooling layer proposed in [13], and shed light on how it explicitly enables the… 
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… 
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… 
Highly Cited
1996
Highly Cited
1996
We present a data structure and an algorithm for efficient and exact interference detection amongst complex models undergoing…