CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features

13 May 2019

Papers citing "CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features"

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Title
Part-based Quantitative Analysis for Heatmaps Osman Tursun Sinan Kalkan Simon Denman Sridha Sridharan Clinton Fookes 40 0 0 22 May 2024
A Label Propagation Strategy for CutMix in Multi-Label Remote Sensing Image Classification Tom Burgert Tim Siebert Kai Norman Clasen Begüm Demir Begüm Demir 54 1 0 22 May 2024
StarLKNet: Star Mixup with Large Kernel Networks for Palm Vein Identification Xin Jin Hongyu Zhu M. El-Yacoubi Hongchao Liao Huafeng Qin Yun Jiang 44 6 0 21 May 2024
Data Augmentation for Text-based Person Retrieval Using Large Language Models Zheng Li Lijia Si Caili Guo Yang Yang Qiushi Cao 44 3 0 20 May 2024
Simple-Sampling and Hard-Mixup with Prototypes to Rebalance Contrastive Learning for Text Classification Mengyu Li Yuqi Liu Fausto Giunchiglia Xiaoyue Feng Renchu Guan VLM 50 5 0 19 May 2024
AdaAugment: A Tuning-Free and Adaptive Approach to Enhance Data Augmentation Suorong Yang Peijia Li Xin Xiong Shen Furao Jian Zhao 34 1 0 19 May 2024
MixCut:A Data Augmentation Method for Facial Expression Recognition Jiaxiang Yu Yiyang Liu Ruiyang Fan Guobing Sun CVBM 32 0 0 17 May 2024
Scaling convolutional neural networks achieves expert-level seizure detection in neonatal EEG Robert Hogan S. Mathieson Aurel Luca S. Ventura Sean Griffin Geraldine Boylan John M. O'Toole 30 7 0 16 May 2024
LeMeViT: Efficient Vision Transformer with Learnable Meta Tokens for Remote Sensing Image Interpretation Wentao Jiang Jing Zhang Di Wang Qiming Zhang Zengmao Wang Bo Du 37 5 0 16 May 2024
Small but Fair! Fairness for Multimodal Human-Human and Robot-Human Mental Wellbeing Coaching Jiaee Cheong Micol Spitale Hatice Gunes 33 3 0 15 May 2024
A Comprehensive Survey on Data Augmentation Zaitian Wang Pengfei Wang Kunpeng Liu Pengyang Wang Yanjie Fu Chang-Tien Lu Charu Aggarwal Jian Pei Yuanchun Zhou ViT 109 23 0 15 May 2024
UDA4Inst: Unsupervised Domain Adaptation for Instance Segmentation Yachan Guo Yi Xiao Danna Xue Jose Luis Gomez Zurita Antonio M. López 71 0 0 15 May 2024
EfficientTrain++: Generalized Curriculum Learning for Efficient Visual Backbone Training Yulin Wang Yang Yue Rui Lu Yizeng Han Shiji Song Gao Huang VLM 66 12 0 14 May 2024
Energy-based Hopfield Boosting for Out-of-Distribution Detection Claus Hofmann Simon Schmid Bernhard Lehner Daniel Klotz Sepp Hochreiter OODD 50 9 0 14 May 2024
Dynamic Feature Learning and Matching for Class-Incremental Learning Sunyuan Qiang Yanyan Liang Jun Wan Du Zhang CLL 43 3 0 14 May 2024
MambaOut: Do We Really Need Mamba for Vision? Weihao Yu Xinchao Wang Mamba 52 50 0 13 May 2024
TattTRN: Template Reconstruction Network for Tattoo Retrieval Lázaro J. González Soler Maciej Salwowski Christian Rathgeb Daniel Fischer 46 1 0 13 May 2024
Feature Expansion and enhanced Compression for Class Incremental Learning Quentin Ferdinand G. Chenadec Benoit Clement Panagiotis Papadakis Quentin Oliveau CLL 30 0 0 13 May 2024
Leveraging Fixed and Dynamic Pseudo-labels for Semi-supervised Medical Image Segmentation Suruchi Kumari Pravendra Singh 45 1 0 12 May 2024
How to Augment for Atmospheric Turbulence Effects on Thermal Adapted Object Detection Models? Engin Uzun Erdem Akagündüz 48 0 0 10 May 2024
KeepOriginalAugment: Single Image-based Better Information-Preserving Data Augmentation Approach Teerath Kumar Alessandra Mileo Malika Bendechache AAML 28 4 0 10 May 2024
PCLMix: Weakly Supervised Medical Image Segmentation via Pixel-Level Contrastive Learning and Dynamic Mix Augmentation Yu Lei Haolun Luo Lituan Wang Zhenwei Zhang Lei Zhang 38 1 0 10 May 2024
Imbalanced Graph Classification with Multi-scale Oversampling Graph Neural Networks Rongrong Ma Guansong Pang Ling-Hao Chen AI4CE 31 0 0 08 May 2024
HAGAN: Hybrid Augmented Generative Adversarial Network for Medical Image Synthesis Zhihan Ju Wanting Zhou Longteng Kong Yu Chen Yi Li Zhenan Sun Caifeng Shan MedIm 29 1 0 08 May 2024
Multi-Modal Data-Efficient 3D Scene Understanding for Autonomous Driving Lingdong Kong Xiang Xu Jiawei Ren Wenwei Zhang Liang Pan Kai-xiang Chen Wei Tsang Ooi Ziwei Liu 48 17 0 08 May 2024
Annot-Mix: Learning with Noisy Class Labels from Multiple Annotators via a Mixup Extension M. Herde Lukas Lührs Denis Huseljic Bernhard Sick 38 3 0 06 May 2024
You Only Need Half: Boosting Data Augmentation by Using Partial Content Juntao Hu Yuan Wu 38 1 0 05 May 2024
Multi-method Integration with Confidence-based Weighting for Zero-shot Image Classification Siqi Yin Lifan Jiang 24 0 0 03 May 2024
Long Tail Image Generation Through Feature Space Augmentation and Iterated Learning Rafael Elberg Denis Parra Mircea Petrache MedIm DiffM 36 2 0 02 May 2024
RaffeSDG: Random Frequency Filtering enabled Single-source Domain Generalization for Medical Image Segmentation Heng Li Haojin Li Jianyu Chen Zhongxi Qiu Huazhu Fu Lidai Wang Yan Hu Jiang-Dong Liu OOD 46 2 0 02 May 2024
CrossMatch: Enhance Semi-Supervised Medical Image Segmentation with Perturbation Strategies and Knowledge Distillation Bin Zhao Chunshi Wang Shuxue Ding 48 2 0 01 May 2024
Source-Free Domain Adaptation of Weakly-Supervised Object Localization Models for Histology Alexis Guichemerre Soufiane Belharbi Tsiry Mayet Shakeeb Murtaza Pourya Shamsolmoali Luke McCaffrey Eric Granger OOD 44 3 0 29 Apr 2024
Transitive Vision-Language Prompt Learning for Domain Generalization Liyuan Wang Yan Jin Zhen Chen Jinlin Wu Mengke Li Yang Lu Hanzi Wang VLM VPVLM LRM 58 0 0 29 Apr 2024
Scalable Event-by-event Processing of Neuromorphic Sensory Signals With Deep State-Space Models Mark Schöne Neeraj Mohan Sushma Jingyue Zhuge Christian Mayr Anand Subramoney David Kappel AI4TS BDL 56 9 0 29 Apr 2024
Policy Gradient-Driven Noise Mask Mehmet Can Yavuz Yang Yang 30 1 0 29 Apr 2024
Revealing the Two Sides of Data Augmentation: An Asymmetric Distillation-based Win-Win Solution for Open-Set Recognition Yunbing Jia Xiaoyu Kong Fan Tang Yixing Gao Weiming Dong Yi Yang 72 2 0 28 Apr 2024
Meta-Transfer Derm-Diagnosis: Exploring Few-Shot Learning and Transfer Learning for Skin Disease Classification in Long-Tail Distribution Zeynep Özdemir H. Keles Ö. Ö. Tanriöver 53 0 0 25 Apr 2024
One Noise to Rule Them All: Learning a Unified Model of Spatially-Varying Noise Patterns Arman Maesumi Dylan Hu Krishi Saripalli Vladimir G. Kim Matthew Fisher Sören Pirk Daniel E. Ritchie DiffM 32 2 0 25 Apr 2024
Drawing the Line: Deep Segmentation for Extracting Art from Ancient Etruscan Mirrors Rafael Sterzinger Simon Brenner Robert Sablatnig 33 1 0 24 Apr 2024
Unexplored Faces of Robustness and Out-of-Distribution: Covariate Shifts in Environment and Sensor Domains Eunsu Baek Keondo Park Jiyoon Kim Hyung-Sin Kim OODD OOD 36 5 0 24 Apr 2024
Towards noise contrastive estimation with soft targets for conditional models J. Hugger Virginie Uhlmann UQCV 39 1 0 22 Apr 2024
PV-S3: Advancing Automatic Photovoltaic Defect Detection using Semi-Supervised Semantic Segmentation of Electroluminescence Images Abhishek Jha Yogesh S Rawat Shruti Vyas 48 1 0 21 Apr 2024
Data-independent Module-aware Pruning for Hierarchical Vision Transformers Yang He Qiufeng Wang ViT 52 3 0 21 Apr 2024
Generalized Few-Shot Meets Remote Sensing: Discovering Novel Classes in Land Cover Mapping via Hybrid Semantic Segmentation Framework Zhuo Li Fangxiao Lu Jiaqi Zou Lei Hu Hongyan Zhang 49 6 0 19 Apr 2024
An Experimental Study on Exploring Strong Lightweight Vision Transformers via Masked Image Modeling Pre-Training Jin Gao Shubo Lin Shaoru Wang Yutong Kou Zeming Li Liang Li Congxuan Zhang Xiaoqin Zhang Yizheng Wang Weiming Hu 52 1 0 18 Apr 2024
GhostNetV3: Exploring the Training Strategies for Compact Models Zhenhua Liu Zhiwei Hao Kai Han Yehui Tang Yunhe Wang 32 16 0 17 Apr 2024
InfoMatch: Entropy Neural Estimation for Semi-Supervised Image Classification Qi Han Zhibo Tian Chengwei Xia Kun Zhan SSL 34 5 0 17 Apr 2024
A Concise Tiling Strategy for Preserving Spatial Context in Earth Observation Imagery Ellianna Abrahams Tasha Snow Matthew R. Siegfried Fernando Pérez 41 1 0 16 Apr 2024
MobileNetV4 - Universal Models for the Mobile Ecosystem Danfeng Qin Chas Leichner M. Delakis Marco Fornoni Shixin Luo ... Berkin Akin Vaibhav Aggarwal Tenghui Zhu Daniele Moro Andrew G. Howard MQ 36 86 0 16 Apr 2024
Counteracting Concept Drift by Learning with Future Malware Predictions B. Bosanský Lada Hospodkova Michal Najman M. Rigaki E. Babayeva Viliam Lisý AAML 30 1 0 14 Apr 2024