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Found 6 papers, 0 papers with code
HANDAL: A Dataset of Real-World Manipulable Object Categories with Pose Annotations, Affordances, and Reconstructions
We outline the usefulness of our dataset for 6-DoF category-level pose+scale estimation and related tasks.
Spatial Assembly Networks for Image Representation Learning
It has been long recognized that deep neural networks are sensitive to changes in spatial configurations or scene structures.
Consistency-Sensitivity Guided Ensemble Black-Box Adversarial Attacks in Low-Dimensional Spaces
Specifically, we esti-mate the victim model in the black box using a learned lin-ear composition of an ensemble of surrogate models withdiversified network structures.
Ensemble Generative Cleaning with Feedback Loops for Defending Adversarial Attacks
In this paper, we develop a new method called ensemble generative cleaning with feedback loops (EGC-FL) for effective defense of deep neural networks.
Generative Cleaning Networks with Quantized Nonlinear Transform for Deep Neural Network Defense
In this paper, we develop a new generative cleaning network with quantized nonlinear transform for effective defense of deep neural networks.
Snowball: Iterative Model Evolution and Confident Sample Discovery for Semi-Supervised Learning on Very Small Labeled Datasets
In this work, we develop a joint sample discovery and iterative model evolution method for semi-supervised learning on very small labeled training sets.
