Results 21 to 30 of about 2,818,371 (325)
Learning Deep Models for Face Anti-Spoofing: Binary or Auxiliary Supervision [PDF]
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018 Face anti-spoofing is crucial to prevent face recognition systems from a security breach. Previous deep learning approaches formulate face anti-spoofing as a binary classification problem.
Yaojie Liu, Amin Jourabloo, Xiaoming Liu
semanticscholar +1 more source
Distant supervision for relation extraction without labeled data
Annual Meeting of the Association for Computational Linguistics, 2009 Modern models of relation extraction for tasks like ACE are based on supervised learning of relations from small hand-labeled corpora. We investigate an alternative paradigm that does not require labeled corpora, avoiding the domain dependence of ACE ...
Mike D. Mintz +3 more
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Boosting Few-Shot Visual Learning With Self-Supervision [PDF]
IEEE International Conference on Computer Vision, 2019 Few-shot learning and self-supervised learning address different facets of the same problem: how to train a model with little or no labeled data. Few-shot learning aims for optimization methods and models that can learn efficiently to recognize patterns ...
Spyros Gidaris +4 more
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Forum Supervision, 2017 Vorwort zum Heft 49 "Die Kraft der Reflexion - Beziehungskunst und seelisches Verstehen. Gerhard Leuschner zum 80. Geburtstag"
FoRuM Supervision
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Forum Supervision, 2016 Verzeichnis der Autor*innen des Hefts ...
FoRuM Supervision
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Snorkel: Rapid Training Data Creation with Weak Supervision [PDF]
Proceedings of the VLDB Endowment, 2017 Labeling training data is increasingly the largest bottleneck in deploying machine learning systems. We present Snorkel, a first-of-its-kind system that enables users to train state-of- the-art models without hand labeling any training data.
Alexander J. Ratner +5 more
semanticscholar +1 more source
Learning by Analogy: Reliable Supervision From Transformations for Unsupervised Optical Flow Estimation [PDF]
Computer Vision and Pattern Recognition, 2020 Unsupervised learning of optical flow, which leverages the supervision from view synthesis, has emerged as a promising alternative to supervised methods. However, the objective of unsupervised learning is likely to be unreliable in challenging scenes. In
L. Liu +9 more
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Enablers and barriers to effective clinical supervision in the workplace: a rapid evidence review
BMJ Open, 2021 Objectives We aimed to review the international literature to understand the enablers of and barriers to effective clinical supervision in the workplace and identify the benefits of effective clinical supervision. Design A rapid evidence review.
C. Rothwell +3 more
semanticscholar +1 more source
Simulation and optimization research on the induced ventilation system in Peacetime of civil air defense underground garage combined with peacetime and wartime [PDF]
E3S Web of Conferences, 2022 Civil air defense construction advocates the combination of peacetime and wartime. Under this background, according to the needs of civil air defense planning, many underground garages take into account the requirements of civil air defense projects in ...
Wang Zongwei +5 more
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