Results 41 to 50 of about 79,319 (254)
Faster Training of Mask R-CNN by Focusing on Instance Boundaries
, 2019 We present an auxiliary task to Mask R-CNN, an instance segmentation network, which leads to faster training of the mask head. Our addition to Mask R-CNN is a new prediction head, the Edge Agreement Head, which is inspired by the way human annotators ...
Siems, Julien N., Zimmermann, Roland S.
core +1 more source
Protein Crystal Instance Segmentation Based on Mask R-CNN
Crystals, 2021 Protein crystallization is the bottleneck in macromolecular crystallography, and crystal recognition is a very important step in the experiment. To improve the recognition accuracy by image classification algorithms further, the Mask R-CNN model is ...
Jiangping Qin +5 more
doaj +1 more source
MegDet: A Large Mini-Batch Object Detector
, 2018 The improvements in recent CNN-based object detection works, from R-CNN [11], Fast/Faster R-CNN [10, 31] to recent Mask R-CNN [14] and RetinaNet [24], mainly come from new network, new framework, or novel loss design. But mini-batch size, a key factor in
Jia, Kai +7 more
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IEEE Access, 2021 Properly wearing a face mask has become an effective way to limit the COVID-19 transmission. In this work, we target at detecting the fine-grained wearing state of face mask: face without mask, face with wrong mask, face with correct mask.
Jun Zhang +3 more
doaj +1 more source
Mask-Refined R-CNN: A Network for Refining Object Details in Instance Segmentation
Sensors, 2020 With the rapid development of flexible vision sensors and visual sensor networks, computer vision tasks, such as object detection and tracking, are entering a new phase.
Yiqing Zhang, Jun Chu, Lu Leng, Jun Miao
doaj +1 more source
Learning to Segment Every Thing
, 2018 Most methods for object instance segmentation require all training examples to be labeled with segmentation masks. This requirement makes it expensive to annotate new categories and has restricted instance segmentation models to ~100 well-annotated ...
Darrell, Trevor +4 more
core +1 more source
Evaluating Segmentation-Based Deep Learning Models for Real-Time Electric Vehicle Fire Detection
FireThe rapid expansion of the electric vehicle (EV) market has raised significant safety concerns, particularly regarding fires caused by the thermal runaway of lithium-ion batteries.
Heejun Kwon +3 more
doaj +1 more source
Brain Extraction from Normal and Pathological Images: A Joint PCA/Image-Reconstruction Approach
, 2018 Brain extraction from images is a common pre-processing step. Many approaches exist, but they are frequently only designed to perform brain extraction from images without strong pathologies.
Asturias, Alexander +8 more
core +1 more source
Object Detection Techniques: A Review
Wasit Journal of Computer and Mathematics Science, 2023 Humans can understand their surroundings clearly because they regularly notice objects in their environment. It is essential for the machine to perceive the surroundings similarly to how humans do in order to make it autonomous and capable of navigating
Widad K. Mohammed +3 more
doaj +1 more source
Advanced Functional Materials, EarlyView.Automat optical inspection (AOI) techniques in semiconductor fabrication can be leveraged in battery manufacturing, enabling scalable detection and analysis of electrode‐ and cell‐level imperfections through AI‐driven analytics and a digital‐twin framework.
Jianyu Li, Ertao Hu, Wei Wei, Feifei Shi
wiley +1 more source