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Found 3 papers, 1 papers with code
Robustness and Generalization via Generative Adversarial Training
Adversarial training with these examples enable the model to withstand a wide range of attacks by observing a variety of input alterations during training.
Self-supervised Learning of Point Clouds via Orientation Estimation
A point cloud can be rotated in infinitely many ways, which provides a rich label-free source for self-supervision.
Ranked #10 on
3D Point Cloud Linear Classification
on ModelNet40
3D Point Cloud Linear Classification
Self-Supervised Learning
+1
Fine-grained Synthesis of Unrestricted Adversarial Examples
We propose a novel approach for generating unrestricted adversarial examples by manipulating fine-grained aspects of image generation.
