Description
CutMix is an image data augmentation strategy. Instead of simply removing pixels as in Cutout, we replace the removed regions with a patch from another image. The ground truth labels are also mixed proportionally to the number of pixels of combined images. The added patches further enhance localization ability by requiring the model to identify the object from a partial view.
Papers Using This Method
Pattern-Based Phase-Separation of Tracer and Dispersed Phase Particles in Two-Phase Defocusing Particle Tracking Velocimetry2025-06-22Compositional Attribute Imbalance in Vision Datasets2025-06-17SAINT: Attention-Based Modeling of Sub-Action Dependencies in Multi-Action Policies2025-05-17MediAug: Exploring Visual Augmentation in Medical Imaging2025-04-26Event-Based Crossing Dataset (EBCD)2025-03-21Similarity-Aware Token Pruning: Your VLM but Faster2025-03-14WalnutData: A UAV Remote Sensing Dataset of Green Walnuts and Model Evaluation2025-02-27Towards Understanding Why Data Augmentation Improves Generalization2025-02-13YOLOv4: A Breakthrough in Real-Time Object Detection2025-02-06Vision-Integrated LLMs for Autonomous Driving Assistance : Human Performance Comparison and Trust Evaluation2025-02-06ASCenD-BDS: Adaptable, Stochastic and Context-aware framework for Detection of Bias, Discrimination and Stereotyping2025-02-04SPFFNet: Strip Perception and Feature Fusion Spatial Pyramid Pooling for Fabric Defect Detection2025-02-03Efficient Object Detection of Marine Debris using Pruned YOLO Model2025-01-27TdAttenMix: Top-Down Attention Guided Mixup2025-01-26DeepIFSAC: Deep Imputation of Missing Values Using Feature and Sample Attention within Contrastive Framework2025-01-19Computational Analysis of Yaredawi YeZema Silt in Ethiopian Orthodox Tewahedo Church Chants2024-12-25Object Detection Approaches to Identifying Hand Images with High Forensic Values2024-12-21Exploring Machine Learning Engineering for Object Detection and Tracking by Unmanned Aerial Vehicle (UAV)2024-12-19J-CaPA : Joint Channel and Pyramid Attention Improves Medical Image Segmentation2024-11-25Provable Benefit of Cutout and CutMix for Feature Learning2024-10-31