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".

Date Created 2023-06-26 (about a year ago)

Commits 188 (last one about a month ago)

Stargazers 54 (0 this week)

Watchers 2 (0 this week)

Forks 14

License gpl-3.0

Ranking

RepositoryStats indexes 595,856 repositories, of these mkang315/CST-YOLO is ranked #446,061 (25th percentile) for total stargazers, and #485,301 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #85,417/119,431.

mkang315/CST-YOLO is also tagged with popular topics, for these it's ranked: deep-learning (#6,825/8512), computer-vision (#2,445/3130), object-detection (#932/1176), transformer (#801/1018), deep-neural-networks (#532/634), convolutional-neural-networks (#454/549), yolo (#281/354)

Other Information

mkang315/CST-YOLO has Github issues enabled, there are 7 open issues and 1 closed issue.

There have been 2 releases, the latest one was published on 2023-09-14 (about a year ago) with the name CST-YOLO v1.1 Release Notes.

All Topics

yolo yolov7 multiscale shufflenet transformer deep-learning computer-vision object-detection swin-transformer blood-cell-detection deep-neural-networks medical-image-analysis small-object-detection medical-image-computing medical-image-detection complete-bloodcell-count medical-image-processing blood-cell-counting-dataset blood-cell-detection-dataset convolutional-neural-networks

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188 commits on the default branch (main) since jan '22

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The primary language is Python but there's also others...

updated: 2024-12-13 @ 04:03am, id: 658651044 / R_kgDOJ0I3pA