Results 21 to 30 of about 1,612,054 (235)

Using supervision: Support or surveillance? [PDF]

open access: yes, 2007
This is the author's pdf version of an book chapter published by SAGE© 2007.This chapter will analyse supervision of staff in relation to developmental and managerial functions; argue that pressures on social services organisations have ensured that the ...
Peach, Jeremy, Horner, Nigel
core   +3 more sources

Mitigating Source Bias for Fairer Weak Supervision [PDF]

open access: yes, 2023
Weak supervision enables efficient development of training sets by reducing the need for ground truth labels. However, the techniques that make weak supervision attractive -- such as integrating any source of signal to estimate unknown labels -- also ...
Shin, Changho   +3 more
core   +1 more source

The Weak Supervision Landscape

open access: yes, 2022
Many ways of annotating a dataset for machine learning classification tasks that go beyond the usual class labels exist in practice. These are of interest as they can simplify or facilitate the collection of annotations, while not greatly affecting the ...
Perello-Nieto, Miquel   +5 more
core   +1 more source

Weakly-Supervised Semantic Segmentation With Regional Location Cutting and Dynamic Credible Regions Correction

open access: yesIEEE Access, 2020
Weakly-supervised semantic segmentation is a challenging task as it outputs pixel-level predictions from weaker labels. Segmentation with weaker labels is an important research area since it can significantly reduce human annotation efforts by ...
Mingsi Tong   +4 more
doaj   +1 more source

Training Subset Selection for Weak Supervision [PDF]

open access: yes, 2023
Existing weak supervision approaches use all the data covered by weak signals to train a classifier. We show both theoretically and empirically that this is not always optimal.
Sontag, David   +2 more
core  

Research on Weakly Supervised Face Segmentation Technology Based on Visual Large Models in New Media Post-Production

open access: yesApplied Sciences
Face segmentation is a critical component in new media post-production, enabling the precise separation of facial regions from complex backgrounds at the pixel level.
Baihui Tang, Sanxing Cao
doaj   +1 more source

DoMars16k: A Diverse Dataset for Weakly Supervised Geomorphologic Analysis on Mars

open access: yesRemote Sensing, 2020
Mapping planetary surfaces is an intricate task that forms the basis for many geologic, geomorphologic, and geographic studies of planetary bodies. In this work, we present a method to automate a specific type of planetary mapping, geomorphic mapping ...
Thorsten Wilhelm   +6 more
doaj   +1 more source

Weakly Supervised Perennial Weed Detection in a Barley Field

open access: yesRemote Sensing, 2023
In the field of precision agriculture, weed detection models combined with selective spraying by ground or aerial robotics are seen as promising approaches for increasing yield harvests while simultaneously minimizing herbicide use. The available labeled
Leon-Friedrich Thomas   +2 more
doaj   +1 more source

Volumetric Weak Supervision for Semantic Segmentation [PDF]

open access: yes, 2022
Semantic segmentation is a popular task in computer vision. Fully supervised methods are data hungry, they require pixel precise annotations for thousands of images.
Bashar, Sharhad
core  

Referral Patterns and Diagnostic Timeliness in Pediatric Cancer: A Hospital‐Based Study in Indonesia

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Timely diagnosis and treatment are critical for improving survival among children with cancer. In low‐ and middle‐income countries (LMICs), delays are common and may be influenced by fragmented referral pathways and diagnostic limitations.
Nur Melani Sari   +5 more
wiley   +1 more source

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