[visionlist] [Meetings] Challenge on Surgical Action Triplet Recognition (CholecTriplet2022) - Call for Participation
npadoy at unistra.fr
Thu Apr 7 16:56:42 -04 2022
We are excited to announce the CholecTriplet2022 challenge, a surgical
action triplet detection challenge which is part of the Endoscopic
Vision Grand challenge at MICCAI 2022. In this edition, participants are
tasked with recognizing and localizing tool-tissue interactions,
represented as triplets of /<instrument, verb, target>/, from
laparoscopic videos. Participants will compete to train models using
only frame-level annotations to predict the triplets present in a given
image and localize the instrument used to carry out the action.
This challenge is in line with recent efforts in the computer vision and
deep learning community, which have begun to transition from
coarse-grained tasks such as action and activity recognition to
finer-grained tasks such as /Human-Object Interaction (HOI)/.
Formalizing surgical activities using triplets and localizing them
represents a step toward comprehensive fine-grained modeling in the
surgical domain, and can facilitate the development of intra-operative
decision support systems in the operating room (OR). CholecTriplet2022
offers participants the opportunity to explore these research areas,
engage with the community, compete, collaborate, and push the boundaries
of surgical scene understanding.
This challenge will provide access to the /CholecT50/ dataset, a dataset
of 50 surgical videos which has been annotated by clinicians with 100
action triplet classes. A baseline study 
<https://arxiv.org/abs/2007.05405> providesadditional background about
the task and dataset.The teams with the best results will be rewarded
with prizes. We also plan a joint publication with top participants
after the challenge.
To register for the challenge and for more information, please visit the
Please feel free to contact us at the email below should you have any
questions. We look forward to your participation!
The CholecTriplet2022 Organizers.
Aditya Murali, Chinedu Nwoye, Saurav Sharma, Tong Yu, Armine
Vardazaryan, Deepak Alapatt, Nicolas Padoy
✉Contact us: _cholectriplet2022-support at icube.unistra.fr_
Nwoye, C. I., Yu, T., Gonzalez, C., Seeliger, B., Mascagni, P.,
Mutter, D., ... & Padoy, N. (2022). Rendezvous: attention mechanisms for
the recognition of surgical action triplets in endoscopic videos.
Medical Image Analysis, 102433. <https://arxiv.org/abs/2109.03223>
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