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Minimum bounding box
Known as:
Minimum enclosing rectangle
, Axis aligned bounding box
, Object oriented bounding box
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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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Related topics
Related topics
18 relations
Bounding sphere
Bounding volume
Bounding volume hierarchy
Computational geometry
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2019
Highly Cited
2019
Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression
Zhaohui Zheng
,
Ping Wang
,
Wei Liu
,
Jinze Li
,
Rongguang Ye
,
Dongwei Ren
AAAI Conference on Artificial Intelligence
2019
Corpus ID: 208158250
Bounding box regression is the crucial step in object detection. In existing methods, while ℓn-norm loss is widely adopted for…
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Highly Cited
2018
Highly Cited
2018
CornerNet: Detecting Objects as Paired Keypoints
Hei Law
,
Jia Deng
International Journal of Computer Vision
2018
Corpus ID: 51923817
We propose CornerNet, a new approach to object detection where we detect an object bounding box as a pair of keypoints, the top…
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Highly Cited
2018
Highly Cited
2018
Fast Online Object Tracking and Segmentation: A Unifying Approach
Qiang Wang
,
Li Zhang
,
Luca Bertinetto
,
Weiming Hu
,
Philip H. S. Torr
Computer Vision and Pattern Recognition
2018
Corpus ID: 54475412
In this paper we illustrate how to perform both visual object tracking and semi-supervised video object segmentation, in real…
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Highly Cited
2017
Highly Cited
2017
Mask R-CNN
Kaiming He
,
Georgia Gkioxari
,
Piotr Dollár
,
Ross B. Girshick
2017
Corpus ID: 54465873
We present a conceptually simple, flexible, and general framework for object instance segmentation. Our approach efficiently…
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Highly Cited
2017
Highly Cited
2017
Axiomatic Attribution for Deep Networks
Mukund Sundararajan
,
Ankur Taly
,
Qiqi Yan
International Conference on Machine Learning
2017
Corpus ID: 16747630
We study the problem of attributing the prediction of a deep network to its input features, a problem previously studied by…
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Highly Cited
2017
Highly Cited
2017
VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection
Yin Zhou
,
Oncel Tuzel
IEEE/CVF Conference on Computer Vision and…
2017
Corpus ID: 42427078
Accurate detection of objects in 3D point clouds is a central problem in many applications, such as autonomous navigation…
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Highly Cited
2015
Highly Cited
2015
Learning Deep Features for Discriminative Localization
Bolei Zhou
,
A. Khosla
,
Àgata Lapedriza
,
A. Oliva
,
A. Torralba
Computer Vision and Pattern Recognition
2015
Corpus ID: 6789015
In this work, we revisit the global average pooling layer proposed in [13], and shed light on how it explicitly enables the…
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Highly Cited
2014
Highly Cited
2014
Microsoft COCO: Common Objects in Context
Tsung-Yi Lin
,
M. Maire
,
+5 authors
C. L. Zitnick
European Conference on Computer Vision
2014
Corpus ID: 14113767
We present a new dataset with the goal of advancing the state-of-the-art in object recognition by placing the question of object…
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Highly Cited
1999
Highly Cited
1999
Efficiently approximating the minimum-volume bounding box of a point set in three dimensions
G. Barequet
,
Sariel Har-Peled
ACM-SIAM Symposium on Discrete Algorithms
1999
Corpus ID: 1542799
We present an efficient O(n+1/?4.5-time algorithm for computing a (1+?)-approximation of the minimum-volume bounding box of n…
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Highly Cited
1996
Highly Cited
1996
OBBTree: a hierarchical structure for rapid interference detection
S. Gottschalk
,
M. Lin
,
Dinesh Manocha
International Conference on Computer Graphics and…
1996
Corpus ID: 7407408
We present a data structure and an algorithm for efficient and exact interference detection amongst complex models undergoing…
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