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Type
Conference paper
Date
2020
2019
Equalization Loss for Long-Tailed Object Recognition (CVPR 2020)
Object recognition techniques using convolutional neural networks (CNN) have achieved great success. However, state-of-the-art object …
Jingru Tan
,
Changbao Wang
,
Buyu Li
,
Quanquan Li
,
Wanli Ouyang
,
Changqing Yin
,
Junjie Yan
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Monocular 3D Object Detection with Decoupled Structured Polygon Estimation and Height-Guided Depth Estimation (AAAI 2020)
Monocular 3D object detection task aims to predict the 3D bounding boxes of objects based on monocular RGB images. Since the location …
Yingjie Cai
,
Buyu Li
,
Zeyu Jiao
,
Hongsheng Li
,
Xingyu Zeng
,
Xiaogang Wang
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GS3D: An Efficient 3D Object Detection Framework for Autonomous Driving (CVPR 2019)
We present an efficient 3D object detection framework based on a single RGB image in the scenario of autonomous driving. Our efforts …
Buyu Li
,
Wanli Ouyang
,
Lu Sheng
,
Xingyu Zeng
,
Xiaogang Wang
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Grid R-CNN (CVPR 2019)
This paper proposes a novel object detection framework named Grid R-CNN, which adopts a grid guided localization mechanism for accurate …
Xin Lu
,
Buyu Li
,
Yuxin Yue
,
Quanquan Li
,
Junjie Yan
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Gradient Harmonized Single-stage Detector (AAAI 2019 Oral)
Despite the great success of two-stage detectors, single-stage detector is still a more elegant and efficient way, yet suffers from the …
Buyu Li
,
Yu Liu
,
Xiaogang Wang
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