Papers with Code 아카이브

Action Triplet Detection

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

하위 태스크
0
평가표
1
보존된 평가 기록
1

Detecting and localizing bounding boxes of tools and anatomies. Then prediction their relationship as action triplet <instrument, verb, target>

데이터셋

출처에 같은 태스크 이름으로 연결된 데이터셋입니다. 동명 태스크가 포함될 수 있으므로, 비교할 때는 평가 결과의 조건도 확인하세요.

CholecT50

CholecT50 is a dataset of endoscopic videos of laparoscopic cholecystectomy surgery introduced to enable research on fine-grained action recognition in laparoscopic surgery. It is annotated with triplet information in the form of <instrument, verb, target>. The dataset is a collection of 50 videos consisting of 45 videos from the Cholec80 dataset and 5 videos from an in-house dataset of the same surgical procedure. CholecT50 is an extension of CholecT40 with 10 additional videos and standardized classes. CholecT45 is a subset of CholecT50 consisting of 45 videos from the Cholec80 dataset and first public release of CholecT50. The following are the official variants of the dataset: - 1. CholecT50 : the original version as used in the Rendezvous publication. - ** 2.CholecT50 (challenge)** : the variant used in CholecTriplet challenge. - ** 3. CholecT50 (cross-val): official cross validation split of CholecT50. - ** 4. CholecT45 (cross-val): official cross validation split of CholecT45. - ** 5. CholecT40** : the original version of CholecT40 as used in Tripnet publication. The complete dataset split information is given here.

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