Results 31 to 40 of about 1,469,780 (320)
Incremental Learning of Object Detectors without Catastrophic Forgetting [PDF]
IEEE International Conference on Computer Vision, 2017 Despite their success for object detection, convolutional neural networks are ill-equipped for incremental learning, i.e., adapting the original model trained on a set of classes to additionally detect objects of new classes, in the absence of the ...
K. Shmelkov, C. Schmid, Alahari Karteek
semanticscholar +1 more source
Impact of nitrogen annealing on the electrical properties of HgCdTe epitaxial films
Materials Research Express, 2023 The nitrogen annealing of HgCdTe materials grown by molecular beam epitaxy (MBE) was carried out to manipulate their electrical properties. The results show that the annealing temperature, annealing time and cooling process all have significant ...
Dapeng Jin +4 more
doaj +1 more source
DSOD: Learning Deeply Supervised Object Detectors from Scratch [PDF]
IEEE International Conference on Computer Vision, 2017 We present Deeply Supervised Object Detector (DSOD), a framework that can learn object detectors from scratch. State-of-the-art object objectors rely heavily on the off the-shelf networks pre-trained on large-scale classification datasets like Image Net,
Zhiqiang Shen +5 more
semanticscholar +1 more source
Sensitivity and performance of the Advanced LIGO detectors in the third observing run [PDF]
Physical Review D, 2020 On April 1st, 2019, the Advanced Laser Interferometer Gravitational-Wave Observatory (aLIGO), joined by the Advanced Virgo detector, began the third observing run, a year-long dedicated search for gravitational radiation. The LIGO detectors have achieved
A. Buikema +197 more
semanticscholar +1 more source
Nature Communications, 2017 The cosmic optical background is an important cosmological observable. Here the authors show that a direct observation of the background brightness from the outer solar system can be obtained by the LORRI instrument aboard the New Horizons mission, on ...
Michael Zemcov +5 more
doaj +1 more source
Black-box Explanation of Object Detectors via Saliency Maps [PDF]
Computer Vision and Pattern Recognition, 2020 We propose D-RISE, a method for generating visual explanations for the predictions of object detectors. Utilizing the proposed similarity metric that accounts for both localization and categorization aspects of object detection allows our method to ...
Vitali Petsiuk +6 more
semanticscholar +1 more source
Fast Training Data Generation for Machine Learning Analysis of Cosmic Ray Showers
IEEE Access, 2023 Applying Machine Learning (ML) methods for the analysis of muon lateral distributions in Extensive Air Showers detected by citizen science projects, while taking into account the spatial distribution of detectors requires enormous training data sets ...
Tomasz Hachaj +2 more
doaj +1 more source
Evaluation of a High-Sensitivity Organ-Targeted PET Camera
Sensors, 2022 The aim of this study is to evaluate the performance of the Radialis organ-targeted positron emission tomography (PET) Camera with standardized tests and through assessment of clinical-imaging results.
Justin Stiles +8 more
doaj +1 more source
The development of a position-sensitive CZT detector with orthogonal co-planar anode strips [PDF]
, 2000 We report on the simulation, construction, and performance of prototype CdZnTe imaging detectors with orthogonal coplanar anode strips. These detectors employ a novel electrode geometry with non-collecting anode strips in one dimension and collecting ...
Hamel, L A +7 more
core +2 more sources
Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 2002 118 pages, 94 figure files, to be published in Nucl. Inst.
AUBERT B +264 more
openaire +9 more sources