Articles with "dynamic loss" as a keyword



Photo from wikipedia

Dynamic loss for oneā€stage object detectors in computer vision

Sign Up to like & get
recommendations!
Published in 2018 at "Electronics Letters"

DOI: 10.1049/el.2018.6712

Abstract: A dynamic loss (DL) is proposed for the one-stage object detectors in computer vision, as an improved version of the focal loss in the literature. The proposed loss features a second-order item which can efficiently… read more here.

Keywords: object detectors; dynamic loss; one stage; stage object ... See more keywords
Photo from wikipedia

Dynamic resistance and total loss in a three-tape REBCO stack carrying DC currents in perpendicular AC magnetic fields at 77 K

Sign Up to like & get
recommendations!
Published in 2022 at "Superconductor Science and Technology"

DOI: 10.1088/1361-6668/ac4850

Abstract: In many high-temperature superconducting (HTS) applications, HTS-coated conductors carry a DC current under an external AC magnetic field. In such operating conditions, dynamic resistance will occur when the traversing magnetic flux across the HTS conductors.… read more here.

Keywords: tape; loss; dynamic loss; stack ... See more keywords
Photo by 20164rhodi from unsplash

Dependence of Dynamic Loss on Critical Current and n-Value of HTS Coated Conductors

Sign Up to like & get
recommendations!
Published in 2019 at "IEEE Transactions on Applied Superconductivity"

DOI: 10.1109/tasc.2019.2948993

Abstract: The properties of superconductors, such as a critical current and an n-value, have a significant effect on their loss characteristics. This effect is essential for the design of superconducting devices and their loss reduction and,… read more here.

Keywords: loss; critical current; dynamic loss; dependence dynamic ... See more keywords
Photo by 20164rhodi from unsplash

Dynamic Loss Weighting for Multiorgan Segmentation in Medical Images.

Sign Up to like & get
recommendations!
Published in 2023 at "IEEE transactions on neural networks and learning systems"

DOI: 10.1109/tnnls.2023.3243241

Abstract: Deep neural networks often suffer from performance inconsistency for multiorgan segmentation in medical images; some organs are segmented far worse than others. The main reason might be organs with different levels of learning difficulty for… read more here.

Keywords: multiorgan segmentation; loss; dynamic loss; segmentation ... See more keywords