https://github.com/CAMMA-public/ConvLSTM-Surgical-Tool-Tracker
공식 코드Weakly Supervised Convolutional LSTM Approach for Tool Tracking in Laparoscopic Videos
Papers with Code 아카이브
Surgical tool detection
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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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/CAMMA-public/cholect50
공식 코드https://github.com/YuemingJin/MTRCNet-CL
공식 코드Multi-Task Recurrent Convolutional Network with Correlation Loss for Surgical Video Analysis
https://github.com/camma-public/cholectriplet2022
공식 코드https://github.com/camma-public/selfsupsurg
공식 코드Dissecting Self-Supervised Learning Methods for Surgical Computer Vision
https://github.com/fujiry0/egosurgery
공식 코드EgoSurgery-Tool: A Dataset of Surgical Tool and Hand Detection from Egocentric Open Surgery Videos
https://github.com/mansoor-at/semi-supervised-surgical-tool-detection
공식 코드A semi-supervised Teacher-Student framework for surgical tool detection and localization
https://github.com/seanxuu/PWISeg
공식 코드PWISeg: Point-based Weakly-supervised Instance Segmentation for Surgical Instruments
https://github.com/weiliu89/caffe
공식 코드https://github.com/111qqz/caffe-ssd
https://github.com/2023-MindSpore-1/ms-code-32
https://github.com/2023-MindSpore-4/Code10/tree/main/SSD
https://github.com/AVAuco/ssd_people
https://github.com/AbhinavJhanwar/object-detection-classification
https://github.com/AmirDavoodi/Hand-Gestures-Human-Robot-Interaction
https://github.com/Ander02/FaceRecognition
https://github.com/Andrew-Qibin/ssdlite-pytorch
https://github.com/CAMMA-public/ai4surgery
EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic Videos
https://github.com/CV-deeplearning/caffe
https://github.com/Chubbyman2/SSD_MobileNet_Hand_Tracker
https://github.com/ChujoHiroto/tensorflow-ssd
https://github.com/ChunML/ssd-tf2
https://github.com/Coldmooon/SSD-on-Custom-Dataset
https://github.com/Cosmos218/ssd-caffe
https://github.com/CycloneBoy/PPDetectionPytorch
https://github.com/DChaushev/Age-Gender-Recognition
https://github.com/Deci-AI/super-gradients
https://github.com/Eljefemasao/Customed-Object-Detector
https://github.com/Eljefemasao/MarkNet-ObjectDetector
https://github.com/EricYang3721/faces
https://github.com/GitHberChen/FCN-Pytorch
https://github.com/Guillem96/ssd-pytorch
https://github.com/HiKapok/SSD.TensorFlow
https://github.com/InquisitiveOjas/Object-Detection_SSD
https://github.com/JaryHuang/awesome_SSD_FPN_GIoU
https://github.com/JimmyLauren/caffe_ssd_mofified
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.