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Data Augmentation Edit

376 papers with code · Methodology

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Regularizing Deep Networks with Semantic Data Augmentation

21 Jul 2020blackfeather-wang/ISDA-for-Deep-Networks

The proposed method is inspired by the intriguing property that deep networks are effective in learning linearized features, i. e., certain directions in the deep feature space correspond to meaningful semantic transformations, e. g., changing the background or view angle of an object.

141
21 Jul 2020

Membership Inference with Privately Augmented Data Endorses the Benign while Suppresses the Adversary

21 Jul 2020AnonymousDLMA/MI_with_DA

To sharpen the good side, we exploit the data augmentation used in training to boost the accuracy of membership inference.

1
21 Jul 2020

However, there are few works studying the data augmentation problem for VQA and none of the existing image based augmentation schemes (such as rotation and flipping) can be directly applied to VQA due to its semantic structure -- an $\langle image, question, answer\rangle$ triplet needs to be maintained correctly.

4
19 Jul 2020

Device-Robust Acoustic Scene Classification Based on Two-Stage Categorization and Data Augmentation

On Task 1b development data set, we achieve an accuracy of 96. 7\% with a model size smaller than 500KB.

6
16 Jul 2020

Counterfactual Data Augmentation using Locally Factored Dynamics

6 Jul 2020spitis/mrl

Many dynamic processes, including common scenarios in robotic control and reinforcement learning (RL), involve a set of interacting subprocesses.

42
06 Jul 2020

Scaling Imitation Learning in Minecraft

6 Jul 2020amiranas/minerl_imitation_learning

Imitation learning is a powerful family of techniques for learning sensorimotor coordination in immersive environments.

3
06 Jul 2020

Anatomical Data Augmentation via Fluid-based Image Registration

5 Jul 2020uncbiag/easyreg

We introduce a fluid-based image augmentation method for medical image analysis.

43
05 Jul 2020

PointTrack++ for Effective Online Multi-Object Tracking and Segmentation

3 Jul 2020detectRecog/PointTrack

In this work, we present PointTrack++, an effective on-line framework for MOTS, which remarkably extends our recently proposed PointTrack framework.

76
03 Jul 2020

Data Augmenting Contrastive Learning of Speech Representations in the Time Domain

Contrastive Predictive Coding (CPC), based on predicting future segments of speech based on past segments is emerging as a powerful algorithm for representation learning of speech signal.

103
02 Jul 2020