Description
DropBlock is a structured form of dropout directed at regularizing convolutional networks. In DropBlock, units in a contiguous region of a feature map are dropped together. As DropBlock discards features in a correlated area, the networks must look elsewhere for evidence to fit the data.
Papers Using This Method
Pattern-Based Phase-Separation of Tracer and Dispersed Phase Particles in Two-Phase Defocusing Particle Tracking Velocimetry2025-06-22Event-Based Crossing Dataset (EBCD)2025-03-21WalnutData: A UAV Remote Sensing Dataset of Green Walnuts and Model Evaluation2025-02-27YOLOv4: A Breakthrough in Real-Time Object Detection2025-02-06Vision-Integrated LLMs for Autonomous Driving Assistance : Human Performance Comparison and Trust Evaluation2025-02-06SPFFNet: Strip Perception and Feature Fusion Spatial Pyramid Pooling for Fabric Defect Detection2025-02-03Efficient Object Detection of Marine Debris using Pruned YOLO Model2025-01-27Object 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)2024-12-19UICE-MIRNet guided image enhancement for underwater object detection2024-09-24Active Learning Enabled Low-cost Cell Image Segmentation Using Bounding Box Annotation2024-05-02YOLO-Former: YOLO Shakes Hand With ViT2024-01-11HyperSense: Hyperdimensional Intelligent Sensing for Energy-Efficient Sparse Data Processing2024-01-04Toward Improving Robustness of Object Detectors Against Domain Shift2023-12-02YOLOv5s-BC: An improved YOLOv5s-based method for real-time apple detection2023-11-10Application of deep learning for livestock behaviour recognition: A systematic literature review2023-10-20Parking Spot Classification based on surround view camera system2023-10-05Randomize to Generalize: Domain Randomization for Runway FOD Detection2023-09-23Automatic Signboard Recognition in Low Quality Night Images2023-08-17YOLOBench: Benchmarking Efficient Object Detectors on Embedded Systems2023-07-26