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2002.10876
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PointAugment: an Auto-Augmentation Framework for Point Cloud Classification
Computer Vision and Pattern Recognition (CVPR), 2020
25 February 2020
Ruihui Li
Xianzhi Li
Pheng-Ann Heng
Chi-Wing Fu
3DPC
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Papers citing
"PointAugment: an Auto-Augmentation Framework for Point Cloud Classification"
50 / 64 papers shown
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336
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367
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310
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Xiaoqin Zhang
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485
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Fusion is Not Enough: Single Modal Attacks on Fusion Models for 3D Object Detection
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Hongjun Choi
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Guanhong Tao
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Michael Zuzak
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Dena Bazazian
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283
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Chuangguan Ye
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410
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Parametric Surface Constrained Upsampler Network for Point Cloud
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Pingping Cai
Zhenyao Wu
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380
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Yi Wang
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208
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Few-Shot Point Cloud Semantic Segmentation via Contrastive Self-Supervision and Multi-Resolution Attention
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Haoren Guo
Abdullah Al Mamun
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216
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Learning Object-level Point Augmentor for Semi-supervised 3D Object Detection
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Chen-Hsuan Tai
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255
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185
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IEEE International Conference on Robotics and Automation (ICRA), 2022
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Chenxi Liu
E. D. Cubuk
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Drago Anguelov
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3DPC
228
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PseudoAugment: Learning to Use Unlabeled Data for Data Augmentation in Point Clouds
European Conference on Computer Vision (ECCV), 2022
Zhaoqi Leng
Shuyang Cheng
Benjamin Caine
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Xiao Zhang
Jonathon Shlens
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Drago Anguelov
3DPC
279
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SageMix: Saliency-Guided Mixup for Point Clouds
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Yunyang Xiong
Hyunwoo J. Kim
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220
32
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PolarMix: A General Data Augmentation Technique for LiDAR Point Clouds
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Jiaxing Huang
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Kaiwen Cui
Shijian Lu
Ling Shao
3DPC
392
126
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Dual Adaptive Transformations for Weakly Supervised Point Cloud Segmentation
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Zhonghua Wu
Ramzi N. Zahreddine
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327
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Self-Supervised Text Erasing with Controllable Image Synthesis
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344
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296
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Dynamic Data Augmentation with Gating Networks for Time Series Recognition
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Staying in Shape: Learning Invariant Shape Representations using Contrastive Learning
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