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Data Augmentation

376 papers with code · Methodology

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Latest papers with code

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.

DATA AUGMENTATION

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.

DATA AUGMENTATION

1
21 Jul 2020

Semantic Equivalent Adversarial Data Augmentation for Visual Question Answering

19 Jul 2020zaynmi/seada-vqa

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.

ADVERSARIAL ATTACK DATA AUGMENTATION QUESTION ANSWERING VISUAL QUESTION ANSWERING

4
19 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.

DATA AUGMENTATION GENERAL REINFORCEMENT LEARNING MULTI-GOAL REINFORCEMENT LEARNING

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.

DATA AUGMENTATION IMITATION LEARNING

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.

IMAGE AUGMENTATION IMAGE REGISTRATION ONE-SHOT LEARNING SEMANTIC SEGMENTATION

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.

DATA AUGMENTATION INSTANCE SEGMENTATION MULTI-OBJECT TRACKING MULTIPLE OBJECT TRACKING ONLINE MULTI-OBJECT TRACKING SEMANTIC SEGMENTATION

76
03 Jul 2020

Data Augmenting Contrastive Learning of Speech Representations in the Time Domain

2 Jul 2020facebookresearch/WavAugment

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.

CONTRASTIVE LEARNING DATA AUGMENTATION REPRESENTATION LEARNING

103
02 Jul 2020

BitMix: Data Augmentation for Image Steganalysis

30 Jun 2020lRomul/argus-alaska

Convolutional neural networks (CNN) for image steganalysis demonstrate better performances with employing concepts from high-level vision tasks.

DATA AUGMENTATION

2
30 Jun 2020