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https://github.com/mkang315/CST-YOLO
[ICIP'24 Lecture Presentation] Official implementation of "CST-YOLO: A Novel Method for Blood Cell Detection Based on Improved YOLOv7 and CNN-Swin Transformer".
https://github.com/mkang315/CST-YOLO
blood-cell-counting-dataset blood-cell-detection blood-cell-detection-dataset complete-bloodcell-count computer-vision convolutional-neural-networks deep-learning deep-neural-networks medical-image-analysis medical-image-computing medical-image-detection medical-image-processing multiscale object-detection shufflenet small-object-detection swin-transformer transformer yolo yolov7
Last synced: 2 months ago
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[ICIP'24 Lecture Presentation] Official implementation of "CST-YOLO: A Novel Method for Blood Cell Detection Based on Improved YOLOv7 and CNN-Swin Transformer".
- Host: GitHub
- URL: https://github.com/mkang315/CST-YOLO
- Owner: mkang315
- License: gpl-3.0
- Created: 2023-06-26T08:18:26.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-11-06T11:45:15.000Z (3 months ago)
- Last Synced: 2024-11-06T12:37:20.625Z (3 months ago)
- Topics: blood-cell-counting-dataset, blood-cell-detection, blood-cell-detection-dataset, complete-bloodcell-count, computer-vision, convolutional-neural-networks, deep-learning, deep-neural-networks, medical-image-analysis, medical-image-computing, medical-image-detection, medical-image-processing, multiscale, object-detection, shufflenet, small-object-detection, swin-transformer, transformer, yolo, yolov7
- Language: Python
- Homepage:
- Size: 1.65 MB
- Stars: 48
- Watchers: 2
- Forks: 12
- Open Issues: 6
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Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
- awesome-yolo-object-detection - mkang315/CST-YOLO - YOLO?style=social"/> : Official implementation of "CST-YOLO: A Novel Method for Blood Cell Detection Based on Improved YOLOv7 and CNN-Swin Transformer". (Applications)
- awesome-yolo-object-detection - mkang315/CST-YOLO - YOLO?style=social"/> : Official implementation of "CST-YOLO: A Novel Method for Blood Cell Detection Based on Improved YOLOv7 and CNN-Swin Transformer". (Applications)