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Associate-3Ddet: Perceptual-to-Conceptual Association for 3D Point Cloud Object Detection [article]

Liang Du and Xiaoqing Ye and Xiao Tan and Jianfeng Feng and Zhenbo Xu and Errui Ding and Shilei Wen
2020 arXiv   pre-print
Object detection from 3D point clouds remains a challenging task, though recent studies pushed the envelope with the deep learning techniques.  ...  Owing to the severe spatial occlusion and inherent variance of point density with the distance to sensors, appearance of a same object varies a lot in point cloud data.  ...  Considering above issues, in this paper, we present Associate-3Ddet for object detection in point cloud, as depicted in Figure 1 .  ... 
arXiv:2006.04356v1 fatcat:f6e4wjx365hyndi4aztnmqqzfi

Strong-Weak Feature Alignment for 3D Object Detection

Zhiyu Wang, Li Wang, Bin Dai
2021 Electronics  
Object detection in 3D point clouds is still a challenging task in autonomous driving.  ...  Due to the inherent occlusion and density changes of the point cloud, the data distribution of the same object will change dramatically.  ...  Associate-3Ddet [10] bridges the gap between the perceptual domain and the conceptual domain for domain adaptation.  ... 
doi:10.3390/electronics10101205 fatcat:hhiimr4hlbgsthsxeqw7e37cuu

Deep Learning for 3D Point Cloud Understanding: A Survey [article]

Haoming Lu, Humphrey Shi
2021 arXiv   pre-print
To demonstrate the latest progress of deep learning for 3D point cloud understanding, this paper summarizes recent remarkable research contributions in this area from several different directions (classification  ...  The development of practical applications, such as autonomous driving and robotics, has brought increasing attention to 3D point cloud understanding.  ...  There are also attempts that consider domain knowledge as an auxiliary to enhance features. Associate-3Ddet [15] introduced the idea of perceptual-to-conceptual association.  ... 
arXiv:2009.08920v2 fatcat:qiuhs6v345bpffzjk2nvhgbfvq

Community-Driven Comprehensive Scientific Paper Summarization: Insight from cvpaper.challenge [article]

Shintaro Yamamoto, Hirokatsu Kataoka, Ryota Suzuki, Seitaro Shinagawa, Shigeo Morishima
2022 arXiv   pre-print
The rapid increase in scientific papers is a heavy burden for researchers, especially non-native speakers, who need to survey scientific literature.  ...  To alleviate this problem, we organized a group of non-native English speakers to write summaries of papers presented at a computer vision conference to share the knowledge of the papers read by the group  ...  Clouds 2 Learning to Segment 3D Point Clouds in 2D Image Space 3 Associate-3Ddet: Perceptual-to-Conceptual Association for 3D Point Cloud Object Detection (b) Query: Learning Meta Face Recognition in  ... 
arXiv:2203.09109v1 fatcat:s5wmkngihze5hh6q63iwixdbkm

Behind the Curtain: Learning Occluded Shapes for 3D Object Detection [article]

Qiangeng Xu, Yiqi Zhong, Ulrich Neumann
2021 arXiv   pre-print
However, due to occlusion and signal miss, LiDAR point clouds are in practice 2.5D as they cover only partial underlying shapes, which poses a fundamental challenge to 3D perception.  ...  To tackle the challenge, we present a novel LiDAR-based 3D object detection model, dubbed Behind the Curtain Detector (BtcDet), which learns the object shape priors and estimates the complete object shapes  ...  Associate-3Ddet: Perceptual-to-Conceptual Asso- on Computer Vision and Pattern Recognition, 1019–1028. ciation for 3D Point Cloud Object Detection.  ... 
arXiv:2112.02205v1 fatcat:37bxvqldfzdbdeklzjvxzgkaou

LIGA-Stereo: Learning LiDAR Geometry Aware Representations for Stereo-based 3D Detector [article]

Xiaoyang Guo, Shaoshuai Shi, Xiaogang Wang, Hongsheng Li
2021 arXiv   pre-print
To detect and localize accurate 3D bounding boxes, LiDAR-based models can encode accurate object boundaries and surface normal directions from LiDAR point clouds.  ...  Stereo-based 3D detection aims at detecting 3D object bounding boxes from stereo images using intermediate depth maps or implicit 3D geometry representations, which provides a low-cost solution for 3D  ...  Associate-3ddet: Cesa-Bianchi, and R. Garnett, editors, Advances in Neural perceptual-to-conceptual association for 3d point cloud ob- Information Processing Systems, volume 31.  ... 
arXiv:2108.08258v1 fatcat:hz7ix7azmfbf3oli7mpay7jf3a