Matches in SemOpenAlex for { <https://semopenalex.org/work/W3095500987> ?p ?o ?g. }
Showing items 1 to 98 of
98
with 100 items per page.
- W3095500987 endingPage "689" @default.
- W3095500987 startingPage "679" @default.
- W3095500987 abstract "Performing low hertz labeling for surgical videos at intervals can greatly releases the burden of surgeons. In this paper, we study the semi-supervised instrument segmentation from robotic surgical videos with sparse annotations. Unlike most previous methods using unlabeled frames individually, we propose a dual motion based method to wisely learn motion flows for segmentation enhancement by leveraging temporal dynamics. We firstly design a flow predictor to derive the motion for jointly propagating the frame-label pairs given the current labeled frame. Considering the fast instrument motion, we further introduce a flow compensator to estimate intermediate motion within continuous frames, with a novel cycle learning strategy. By exploiting generated data pairs, our framework can recover and even enhance temporal consistency of training sequences to benefit segmentation. We validate our framework with binary, part, and type tasks on 2017 MICCAI EndoVis Robotic Instrument Segmentation Challenge dataset. Results show that our method outperforms the state-of-the-art semi-supervised methods by a large margin, and even exceeds fully supervised training on two tasks (Our code is available at https://github.com/zxzhaoeric/Semi-InstruSeg/)." @default.
- W3095500987 created "2020-11-09" @default.
- W3095500987 creator A5032708386 @default.
- W3095500987 creator A5032734433 @default.
- W3095500987 creator A5050163233 @default.
- W3095500987 creator A5061331693 @default.
- W3095500987 creator A5090516040 @default.
- W3095500987 date "2020-01-01" @default.
- W3095500987 modified "2023-10-16" @default.
- W3095500987 title "Learning Motion Flows for Semi-supervised Instrument Segmentation from Robotic Surgical Video" @default.
- W3095500987 cites W1901129140 @default.
- W3095500987 cites W2331128040 @default.
- W3095500987 cites W2348664362 @default.
- W3095500987 cites W2560474170 @default.
- W3095500987 cites W2750925197 @default.
- W3095500987 cites W2751665805 @default.
- W3095500987 cites W2753115354 @default.
- W3095500987 cites W2792767783 @default.
- W3095500987 cites W2894961607 @default.
- W3095500987 cites W2948778231 @default.
- W3095500987 cites W2953574735 @default.
- W3095500987 cites W2962685880 @default.
- W3095500987 cites W2962936819 @default.
- W3095500987 cites W2963093735 @default.
- W3095500987 cites W2964251418 @default.
- W3095500987 cites W2964254867 @default.
- W3095500987 cites W2967185966 @default.
- W3095500987 cites W2967498193 @default.
- W3095500987 cites W2979907638 @default.
- W3095500987 cites W2979922443 @default.
- W3095500987 cites W2980225217 @default.
- W3095500987 cites W2981362942 @default.
- W3095500987 cites W2982426631 @default.
- W3095500987 cites W3098152091 @default.
- W3095500987 doi "https://doi.org/10.1007/978-3-030-59716-0_65" @default.
- W3095500987 hasPublicationYear "2020" @default.
- W3095500987 type Work @default.
- W3095500987 sameAs 3095500987 @default.
- W3095500987 citedByCount "17" @default.
- W3095500987 countsByYear W30955009872020 @default.
- W3095500987 countsByYear W30955009872021 @default.
- W3095500987 countsByYear W30955009872022 @default.
- W3095500987 countsByYear W30955009872023 @default.
- W3095500987 crossrefType "book-chapter" @default.
- W3095500987 hasAuthorship W3095500987A5032708386 @default.
- W3095500987 hasAuthorship W3095500987A5032734433 @default.
- W3095500987 hasAuthorship W3095500987A5050163233 @default.
- W3095500987 hasAuthorship W3095500987A5061331693 @default.
- W3095500987 hasAuthorship W3095500987A5090516040 @default.
- W3095500987 hasBestOaLocation W30955009872 @default.
- W3095500987 hasConcept C104114177 @default.
- W3095500987 hasConcept C119857082 @default.
- W3095500987 hasConcept C126042441 @default.
- W3095500987 hasConcept C136389625 @default.
- W3095500987 hasConcept C154945302 @default.
- W3095500987 hasConcept C2776436953 @default.
- W3095500987 hasConcept C31972630 @default.
- W3095500987 hasConcept C3261483 @default.
- W3095500987 hasConcept C41008148 @default.
- W3095500987 hasConcept C48007421 @default.
- W3095500987 hasConcept C50644808 @default.
- W3095500987 hasConcept C76155785 @default.
- W3095500987 hasConcept C774472 @default.
- W3095500987 hasConcept C89600930 @default.
- W3095500987 hasConceptScore W3095500987C104114177 @default.
- W3095500987 hasConceptScore W3095500987C119857082 @default.
- W3095500987 hasConceptScore W3095500987C126042441 @default.
- W3095500987 hasConceptScore W3095500987C136389625 @default.
- W3095500987 hasConceptScore W3095500987C154945302 @default.
- W3095500987 hasConceptScore W3095500987C2776436953 @default.
- W3095500987 hasConceptScore W3095500987C31972630 @default.
- W3095500987 hasConceptScore W3095500987C3261483 @default.
- W3095500987 hasConceptScore W3095500987C41008148 @default.
- W3095500987 hasConceptScore W3095500987C48007421 @default.
- W3095500987 hasConceptScore W3095500987C50644808 @default.
- W3095500987 hasConceptScore W3095500987C76155785 @default.
- W3095500987 hasConceptScore W3095500987C774472 @default.
- W3095500987 hasConceptScore W3095500987C89600930 @default.
- W3095500987 hasLocation W30955009871 @default.
- W3095500987 hasLocation W30955009872 @default.
- W3095500987 hasOpenAccess W3095500987 @default.
- W3095500987 hasPrimaryLocation W30955009871 @default.
- W3095500987 hasRelatedWork W1669643531 @default.
- W3095500987 hasRelatedWork W1982826852 @default.
- W3095500987 hasRelatedWork W2005437358 @default.
- W3095500987 hasRelatedWork W2008656436 @default.
- W3095500987 hasRelatedWork W2023558673 @default.
- W3095500987 hasRelatedWork W2110230079 @default.
- W3095500987 hasRelatedWork W2134924024 @default.
- W3095500987 hasRelatedWork W2517104666 @default.
- W3095500987 hasRelatedWork W2613186388 @default.
- W3095500987 hasRelatedWork W2624451073 @default.
- W3095500987 isParatext "false" @default.
- W3095500987 isRetracted "false" @default.
- W3095500987 magId "3095500987" @default.
- W3095500987 workType "book-chapter" @default.