YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors. Wang, C., Bochkovskiy, A., & Liao, H. M. July, 2022. arXiv:2207.02696 [cs]
![YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper bibtex
Paper bibtex Downloads: 0
{"_id":"6kpSBHEpkvG3RaKCD","bibbaseid":"wang-bochkovskiy-liao-yolov7trainablebagoffreebiessetsnewstateoftheartforrealtimeobjectdetectors-2022","author_short":["Wang, C.","Bochkovskiy, A.","Liao, H. M."],"bibdata":{"bibtype":"misc","type":"misc","title":"YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors","shorttitle":"YOLOv7","url":"http://arxiv.org/abs/2207.02696","language":"en","urldate":"2022-10-17","publisher":"arXiv","author":[{"propositions":[],"lastnames":["Wang"],"firstnames":["Chien-Yao"],"suffixes":[]},{"propositions":[],"lastnames":["Bochkovskiy"],"firstnames":["Alexey"],"suffixes":[]},{"propositions":[],"lastnames":["Liao"],"firstnames":["Hong-Yuan","Mark"],"suffixes":[]}],"month":"July","year":"2022","note":"arXiv:2207.02696 [cs]","keywords":"Computer Science - Computer Vision and Pattern Recognition","author_short":["Wang, C.","Bochkovskiy, A.","Liao, H. M."],"key":"wang_yolov7_2022","id":"wang_yolov7_2022","bibbaseid":"wang-bochkovskiy-liao-yolov7trainablebagoffreebiessetsnewstateoftheartforrealtimeobjectdetectors-2022","role":"author","urls":{"Paper":"http://arxiv.org/abs/2207.02696"},"keyword":["Computer Science - Computer Vision and Pattern Recognition"],"metadata":{"authorlinks":{}},"html":""},"bibtype":"misc","biburl":"https://api.zotero.org/users/9841898/collections/JXI26RRY/items?key=ShDXCpruZRUbF3yMPYUQgZlW&format=bibtex&limit=100","dataSources":["CckZMXH8iAffus8FL"],"keywords":["computer science - computer vision and pattern recognition"],"search_terms":["yolov7","trainable","bag","freebies","sets","new","state","art","real","time","object","detectors","wang","bochkovskiy","liao"],"title":"YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors","year":2022}