SuperMix: Supervising the Mixing Data Augmentation Ali Dabouei, Sobhan Soleymani, Fariborz Taherkhani, Nasser M. Nasrabadi
Simple Copy-Paste Is a Strong Data Augmentation Method for Instance Segmentation Golnaz Ghiasi, Yin Cui, Aravind Srinivas, Rui Qian, Tsung-Yi Lin, Ekin D. Cubuk, Quoc V. Le, Barret Zoph
KeepAugment: A Simple Information-Preserving Data Augmentation Approach Chengyue Gong, Dilin Wang, Meng Li, Vikas Chandra, Qiang Liu
Self-Supervised Augmentation Consistency for Adapting Semantic Segmentation Nikita Araslanov, Stefan Roth
Semantic Segmentation for Real Point Cloud Scenes via Bilateral Augmentation and Adaptive Fusion Shi Qiu, Saeed Anwar, Nick Barnes
Augmentation Strategies for Learning With Noisy Labels Kento Nishi, Yi Ding, Alex Rich, Tobias Hollerer
MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition Shuang Li, Kaixiong Gong, Chi Harold Liu, Yulin Wang, Feng Qiao, Xinjing Cheng
LiDAR-Aug: A General Rendering-Based Augmentation Framework for 3D Object Detection Jin Fang, Xinxin Zuo, Dingfu Zhou, Shengze Jin, Sen Wang, Liangjun Zhang
Transferable Semantic Augmentation for Domain Adaptation Shuang Li, Mixue Xie, Kaixiong Gong, Chi Harold Liu, Yulin Wang, Wei Li
PoseAug: A Differentiable Pose Augmentation Framework for 3D Human Pose Estimation Kehong Gong, Jianfeng Zhang, Jiashi Feng
Scale-Aware Automatic Augmentation for Object Detection Yukang Chen, Yanwei Li, Tao Kong, Lu Qi, Ruihang Chu, Lei Li, Jiaya Jia
PointAugmenting: Cross-Modal Augmentation for 3D Object Detection Chunwei Wang, Chao Ma, Ming Zhu, Xiaokang Yang
On Feature Normalization and Data Augmentation Boyi Li, Felix Wu, Ser-Nam Lim, Serge Belongie, Kilian Q. Weinberger
Prototype Augmentation and Self-Supervision for Incremental Learning Fei Zhu, Xu-Yao Zhang, Chuang Wang, Fei Yin, Cheng-Lin Liu
StyleMix: Separating Content and Style for Enhanced Data Augmentation Minui Hong, Jinwoo Choi, Gunhee Kim
SelfAugment: Automatic Augmentation Policies for Self-Supervised Learning Colorado J Reed, Sean Metzger, Aravind Srinivas, Trevor Darrell, Kurt Keutzer
MaxUp: Lightweight Adversarial Training With Data Augmentation Improves Neural Network Training Chengyue Gong, Tongzheng Ren, Mao Ye, Qiang Liu