Papers with Code 아카이브
Surgical tool detection
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 0
- 평가표
- 2
- 보존된 평가 기록
- 7
Presence detection of various classes of surgical instruments in endoscopy videos.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/eddiebarry/SingleShotDetector
https://github.com/ethanhou99/ml_learn
https://github.com/fanneng/caffe
https://github.com/feizc/Object-Detection-Pytorch
https://github.com/freeniliang/caffe-ssd
https://github.com/gmt710/caffe-ssd
https://github.com/gmt710/caffe_gpu
https://github.com/guptarohit994/ECE285_Graduate_Descent_SSD
https://github.com/gurkirt/AMTNet
https://github.com/gurkirt/realtime-action-detection
https://github.com/hidekazu300/test
https://github.com/huytranvan2010/SSD
https://github.com/hyh21521038/ssd-plate_detection
https://github.com/imistyrain/ssd
https://github.com/imistyrain/ssd-windows
https://github.com/inisis/caffe
https://github.com/jack16888/caffe-ssd
https://github.com/jack16888/caffessd
https://github.com/jimheaton/Ultra96_ML_Embedded_Workshop
https://github.com/jiportilla/edge-max-object-detector
https://github.com/kanesoban/ssd
https://github.com/kangyiS/caffe_ky
https://github.com/kfx7577/Caffe_VehicleCounter
https://github.com/konny0311/ssd_trial
https://github.com/krstevskipetar/SSDLite320-MobileNetV3-object-detection
https://github.com/leejang/two_stream_ssd_caffe
https://github.com/liqiang2018/Vehicle_delector
https://github.com/liqiang2018/ssd_mobilenet1.5
https://github.com/liuky74/caffe_liuky74
https://github.com/liuliu408/caffe-ssd
https://github.com/lswzjuer/caffe-adas
https://github.com/lufficc/SSD
https://github.com/lzx1413/CAFFE_SSD
https://github.com/macomino/TFM
https://github.com/manishsoni1908/mobilenet-ssd-keras
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.