MCBAN: A Small Object Detection Multi-Convolutional Block Attention Network
Source abstract
Abstract
Object detection has made a significant leap forward in recent years. However, the detection of small objects continues to be a great difficulty for various reasons, such as they have a very small size and they are susceptibl... | Find, read and cite all the research you need on Tech Science Press
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Advanced Neural Network Applications · Industrial Vision Systems and Defect Detection
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (29)
Show source-provided references
1. Fabric defect detection using the improved YOLOv3 model
2. Z. Yu, H. Huang, W. Chen, Y. Su, Y. Liu and X. Wang, “YOLO-FaceV2: A scale and occlusion aware face detector,” 2019, arXiv:2208.0.
3. Overview of two-stage object detection algorithms
4. MRFF-YOLO: A multi-receptive fields fusion network for remote sensing target detection10.3390/rs12193118 ↗
5. Modern approaches towards object detection of complex engineering drawings
6. Hierarchical context features embedding for object detection10.1109/TMM.2020.2971175 ↗
7. Spatial pyramid pooling in deep convolutional networks for visual recognition10.1109/TPAMI.2015.2389824 ↗
8. Fast R-CNN
9. Faster R-CNN: Towards real-time object detection with region proposal networks10.1109/TPAMI.2016.2577031 ↗
10. Mask R-CNN
11. You only look once: Unified, real-time object detection
12. An automatic traffic density estimation using Single Shot Detection (SSD) and MobileNet-SSD10.1016/j.pce.2018.12.001 ↗
13. EfficientDet: Scalable and efficient object detection
14. A symbol recognition system for single-line diagrams developed using a deep-learning approach10.3390/app13158816 ↗
15. Lightweight YOLOv8 PCB defect detection algorithm based on triple attention
16. Enhanced small drone detection using optimized YOLOv8 with attention mechanisms10.1109/ACCESS.2024.3420730 ↗
17. AIE-YOLO: Auxiliary information enhanced YOLO for small object detection10.3390/s22218221 ↗
18. CBAM: Convolutional Block Attention Module
19. YOLOv8-QR: An improved YOLOv8 model via attention mechanism for object detection of QR code defects
20. Lightweight underwater object detection based on yolo v4 and multi-scale attentional feature fusion
21. Modern deep learning approaches for symbol detection in complex engineering drawings
22. Y. Zhao, L. Zhao, Z. Liu, D. Hu, G. Kuang and L. Liu, “Attentional feature refinement and alignment network for aircraft detection in SAR imagery,” 2022, arXiv:2201.07124.10.1109/TGRS.2021.3139994 ↗
23. ECA-Net: Efficient channel attention for deep convolutional neural networks
24. Image super-resolution reconstruction based on feature map attention mechanism10.1007/s10489-020-02116-1 ↗
25. Squeeze-and-excitation networks
26. DS-YOLOv8-Based object detection method for remote sensing images10.1109/ACCESS.2023.3330844 ↗
27. Rip current segmentation: A novel benchmark and YOLOv8 baseline results
28. Focal loss for dense object detection
29. The pascal visual object classes (VOC) challenge10.1007/s11263-009-0275-4 ↗