Opera: Attention-regularized transformers for surgical phase recognition

T Czempiel, M Paschali, D Ostler, ST Kim… - … Image Computing and …, 2021 - Springer
In this paper we introduce OperA, a transformer-based model that accurately predicts
surgical phases from long video sequences. A novel attention regularization loss …
被引用次数：93 相关文章

OperA: Attention-Regularized Transformers for Surgical Phase Recognition

T Czempiel, M Paschali, D Ostler… - … on Medical Image …, 2021 - khu.elsevierpure.com
In this paper we introduce OperA, a transformer-based model that accurately predicts
surgical phases from long video sequences. A novel attention regularization loss …

[引用][C] OperA: Attention-Regularized Transformers for Surgical Phase Recognition

T Czempiel, M Paschali, S Kim, D Ostler… - arXiv preprint arXiv …, 2021 - mediatum.ub.tum.de
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OperA: Attention-Regularized Transformers for Surgical Phase Recognition

T Czempiel, M Paschali, D Ostler, ST Kim… - arXiv e …, 2021 - ui.adsabs.harvard.edu
In this paper we introduce OperA, a transformer-based model that accurately predicts
surgical phases from long video sequences. A novel attention regularization loss …

OperA: Attention-Regularized Transformers for Surgical Phase Recognition

T Czempiel, M Paschali, D Ostler, ST Kim… - arXiv preprint arXiv …, 2021 - arxiv.org
In this paper we introduce OperA, a transformer-based model that accurately predicts
surgical phases from long video sequences. A novel attention regularization loss …
[PDF] researchgate.net

[PDF][PDF] OperA: Attention-Regularized Transformers for Surgical Phase Recognition

T Czempiel, M Paschali, D Ostler, ST Kim… - arXiv preprint arXiv …, 2021 - researchgate.net
In this paper we introduce OperA, a transformer-based model that accurately predicts
surgical phases from long video sequences. A novel attention regularization loss …

OperA: Attention-Regularized Transformers for Surgical Phase Recognition

T Czempiel, M Paschali, D Ostler, ST Kim… - … Conference on Medical …, 2021 - dl.acm.org
In this paper we introduce OperA, a transformer-based model that accurately predicts
surgical phases from long video sequences. A novel attention regularization loss …