Results 11 to 20 of about 2,818,371 (325)
Differentiable Volumetric Rendering: Learning Implicit 3D Representations Without 3D Supervision [PDF]
Computer Vision and Pattern Recognition, 2019 Learning-based 3D reconstruction methods have shown impressive results. However, most methods require 3D supervision which is often hard to obtain for real-world datasets. Recently, several works have proposed differentiable rendering techniques to train
Michael Niemeyer +3 more
semanticscholar +1 more source
Libri-Light: A Benchmark for ASR with Limited or No Supervision [PDF]
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2019 We introduce a new collection of spoken English audio suitable for training speech recognition systems under limited or no supervision. It is derived from open-source audio books from the LibriVox project.
Jacob Kahn +14 more
semanticscholar +1 more source
Co-learning: Learning from Noisy Labels with Self-supervision [PDF]
ACM Multimedia, 2021 Noisy labels, resulting from mistakes in manual labeling or webly data collecting for supervised learning, can cause neural networks to overfit the misleading information and degrade the generalization performance.
Cheng Tan +3 more
semanticscholar +1 more source
Influence of air distribution modes in civil air defense basement on carbon dioxide concentration distribution in wartime [PDF]
E3S Web of Conferences, 2022 In order to protect the living environment and effectively control the harmful gas composition in the basement of civil air defense in wartime, this paper studies the pollutants of a civil air defense basement project in Jinan by CFD numerical simulation
Wang Zongwei +6 more
doaj +1 more source
Journal of Economic Behavior & Organization, 2014 Organizations can use subjective performance pay when verifiable performance measures are imperfect. However, this gives supervisors the power to direct employees toward tasks that mainly benefit the supervisor rather than the organization. We cast a principal–supervisor–agent model in a multitask setting, where the supervisor has an intrinsic ...
Josse Delfgaauw, Michiel Souverijn
openaire +2 more sources
Bayesian Loss for Crowd Count Estimation With Point Supervision [PDF]
IEEE International Conference on Computer Vision, 2019 In crowd counting datasets, each person is annotated by a point, which is usually the center of the head. And the task is to estimate the total count in a crowd scene.
Zhiheng Ma +3 more
semanticscholar +1 more source
Knowledge Distillation Meets Self-Supervision [PDF]
European Conference on Computer Vision, 2020 Knowledge distillation, which involves extracting the "dark knowledge" from a teacher network to guide the learning of a student network, has emerged as an important technique for model compression and transfer learning.
Guodong Xu +3 more
semanticscholar +1 more source
British Journal of Hospital Medicine, 2009 Supervision has been defined in many ways, but is essentially a conversation between professionals aimed at promoting learning, reflective practice and improving patient safety and the quality of patient care.
Helen, Halpern, Judy, McKimm
openaire +5 more sources
Learning Pixel-Level Semantic Affinity with Image-Level Supervision for Weakly Supervised Semantic Segmentation [PDF]
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018 The deficiency of segmentation labels is one of the main obstacles to semantic segmentation in the wild. To alleviate this issue, we present a novel framework that generates segmentation labels of images given their image-level class labels.
Jiwoon Ahn, Suha Kwak
semanticscholar +1 more source