Timezone: »
Robustness to rotation is critical for point cloud understanding tasks, as point cloud features can be affected dramatically with respect to prevalent rotation changes. In this work, we propose SeLCA, a novel self-supervised learning framework to learn to the canonical axis of point clouds in a probabilistic manner. In essence, we propose to \textit{learn} rotational-equivariance by predicting the canonical axis of point clouds, and achieve rotational-invariance by aligning the point clouds using their predicted canonical axis. When integrated into a rotation-sensitive pipeline, SeLCA achieves competitive performances on the ModelNet40 classification task under unseen rotations. Most interestingly, our proposed method also shows high robustness to various real-world point cloud corruptions presented by the ModelNet40-C dataset, compared to the state-of-the-art rotation-invariant method.
Author Information
Seungwook Kim (POSTECH)
Yoonwoo Jeong (POSTECH)
Chunghyun Park (POSTECH)
Jaesik Park (POSTECH)
Minsu Cho (POSTECH)
More from the Same Authors
-
2020 : Combinatorial 3D Shape Generation via Sequential Assembly »
Jungtaek Kim · Hyunsoo Chung · Jinhwi Lee · Minsu Cho · Jaesik Park -
2022 : Substructure-Atom Cross Attention for Molecular Representation Learning »
Jiye Kim · Seungbeom Lee · Dongwoo Kim · Sungsoo Ahn · Jaesik Park -
2023 Poster: Activity Grammars for Temporal Action Segmentation »
Dayoung Kong · Joonseok Lee · Deunsol Jung · Suha Kwak · Minsu Cho -
2023 Poster: Locality-Aware Generalizable Implicit Neural Representation »
Doyup Lee · Chiheon Kim · Minsu Cho · WOOK SHIN HAN -
2022 Poster: Learning Debiased Classifier with Biased Committee »
Nayeong Kim · Sehyun Hwang · Sungsoo Ahn · Jaesik Park · Suha Kwak -
2022 Poster: PeRFception: Perception using Radiance Fields »
Yoonwoo Jeong · Seungjoo Shin · Junha Lee · Chris Choy · Anima Anandkumar · Minsu Cho · Jaesik Park -
2022 Poster: Peripheral Vision Transformer »
Juhong Min · Yucheng Zhao · Chong Luo · Minsu Cho -
2022 Poster: A Rotated Hyperbolic Wrapped Normal Distribution for Hierarchical Representation Learning »
Seunghyuk Cho · Juyong Lee · Jaesik Park · Dongwoo Kim -
2022 Poster: Draft-and-Revise: Effective Image Generation with Contextual RQ-Transformer »
Doyup Lee · Chiheon Kim · Saehoon Kim · Minsu Cho · WOOK SHIN HAN -
2021 Poster: Brick-by-Brick: Combinatorial Construction with Deep Reinforcement Learning »
Hyunsoo Chung · Jungtaek Kim · Boris Knyazev · Jinhwi Lee · Graham Taylor · Jaesik Park · Minsu Cho -
2021 Poster: Rebooting ACGAN: Auxiliary Classifier GANs with Stable Training »
Minguk Kang · Woohyeon Shim · Minsu Cho · Jaesik Park -
2021 Poster: Relational Self-Attention: What's Missing in Attention for Video Understanding »
Manjin Kim · Heeseung Kwon · CHUNYU WANG · Suha Kwak · Minsu Cho -
2020 Poster: CircleGAN: Generative Adversarial Learning across Spherical Circles »
Woohyeon Shim · Minsu Cho -
2020 Poster: ContraGAN: Contrastive Learning for Conditional Image Generation »
Minguk Kang · Jaesik Park -
2019 Poster: Mining GOLD Samples for Conditional GANs »
Sangwoo Mo · Chiheon Kim · Sungwoong Kim · Minsu Cho · Jinwoo Shin