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CAR: Class-aware Regularizations for Semantic Segmentation
[article]
2022
arXiv
pre-print
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In this paper, aiming to use class level information more effectively, we propose a universal Class-Aware Regularization (CAR) approach to optimize the intra-class variance and inter-class distance during ...
Recent segmentation methods, such as OCR and CPNet, utilizing "class level" information in addition to pixel features, have achieved notable success for boosting the accuracy of existing network modules ...
Introduction Semantic segmentation, which assigns a class label for each pixel in an image, is a fundamental task in computer vision. ...
arXiv:2203.07160v2
fatcat:jkzfce3tfbgjtgao5rzqqhm7na
PCSCNet: Fast 3D Semantic Segmentation of LiDAR Point Cloud for Autonomous Car using Point Convolution and Sparse Convolution Network
[article]
2022
arXiv
pre-print
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The autonomous car must recognize the driving environment quickly for safe driving. ...
As the Light Detection And Range (LiDAR) sensor is widely used in the autonomous car, fast semantic segmentation of LiDAR point cloud, which is the point-wise classification of the point cloud within the ...
As you can see, our model well classifies car, terrain, building, and road classes. Especially, the points from car class are segmented well with our model. ...
arXiv:2202.10047v1
fatcat:slrwq7hhy5axriublzp7x6i5wy
Fast car detection using image strip features
2009
2009 IEEE Conference on Computer Vision and Pattern Recognition
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This paper presents a fast method for detecting multi-view cars in real-world scenes. ...
Moreover, we develop a new complexity-aware criterion for RealBoost algorithm to balance the discriminative capability and efficiency of the selected features. ...
For example, eyes are always darker than skin of cheeks, but there is no such simple regularity between cars and background. ...
doi:10.1109/cvpr.2009.5206642
dblp:conf/cvpr/ZhengL09
fatcat:u232g37ilfbdrcdaqdajwftlb4
Fast car detection using image strip features
2009
2009 IEEE Conference on Computer Vision and Pattern Recognition
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This paper presents a fast method for detecting multi-view cars in real-world scenes. ...
Moreover, we develop a new complexity-aware criterion for RealBoost algorithm to balance the discriminative capability and efficiency of the selected features. ...
For example, eyes are always darker than skin of cheeks, but there is no such simple regularity between cars and background. ...
doi:10.1109/cvprw.2009.5206642
fatcat:fcqy72yggze4tdgbjnwq4oz6uu
Not Using the Car to See the Sidewalk: Quantifying and Controlling the Effects of Context in Classification and Segmentation
[article]
2018
arXiv
pre-print
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We apply this methodology on two tasks, image classification and semantic segmentation, and discover undesirable dependency between objects and context, for example that "sidewalk" segmentation relies ...
However, to what extent the computer vision models for image classification and semantic segmentation are dependent on the context to make their predictions is unclear. ...
For example, in our experiments we find that keyboard is often not recognized without a nearby monitor, and semantic segmentation of roads suffers without cars (see Figure 1 ). ...
arXiv:1812.06707v1
fatcat:qzwduwefgneodfxrx3y4k7sp5i
Semantic-based operators to support car sketching
2007
Journal of engineering design
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Key action: 2.3.1.7 Semantic-based ...
Acknowledgement This work is currently carried out within the scope of the AIM@SHAPE Network of Excellence-Advanced and Innovative Models and Tools for the development of Semanticbased systems for Handling ...
class), • m+ for a positive minimum (PositiveCurvatureMinimum class), • M− for a negative maximum (NegativeCurvatureMaximum class), • m− for a negative minimum (NegativeCurvatureMinimum class), and • ...
doi:10.1080/09544820701403714
fatcat:2sgfxszts5cvzjm2wkcnvpeum4
Not Using the Car to See the Sidewalk — Quantifying and Controlling the Effects of Context in Classification and Segmentation
2019
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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We apply this methodology on two tasks, image classification and semantic segmentation, and discover undesirable dependency between objects and context, for example that "sidewalk" segmentation is very ...
sensitive to the presence of "cars" in the image. ...
Semantic segmentation. ...
doi:10.1109/cvpr.2019.00841
dblp:conf/cvpr/ShettySF19
fatcat:xqwtlhuqqff3nk2xjzukfk6dmq
Self-Driving Cars: A Survey
[article]
2019
arXiv
pre-print
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In this survey, we present the typical architecture of the autonomy system of self-driving cars. We also review research on relevant methods for perception and decision making. ...
The perception system is generally divided into many subsystems responsible for tasks such as self-driving-car localization, static obstacles mapping, moving obstacles detection and tracking, road mapping ...
Xu et al. (2015) describe the context-aware tracking of moving obstacles for distance keeping used by the new experimental self-driving car of the Carnegie Mellon University. ...
arXiv:1901.04407v2
fatcat:uwrgi5wjlbckdhtyy4eelinmde
Advanced eNose-Driven Pedestrian Tracking Pipeline for Intelligent Car Driver Assisting System: Preliminary Results
2022
Sensors
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The authors propose a full, deep pipeline for the identification, monitoring and tracking of the salient pedestrians, combined with an intelligent electronic alcohol sensing system to properly assess the ...
Car drivers must keep a safe driving dynamic, having an unaltered physiological status while processing the surrounding information coming from the driving scenario (e.g., traffic signs, other vehicles ...
These feature representations achieve mutual gains and are more robust for semantic segmentation. ...
doi:10.3390/s22020674
pmid:35062635
pmcid:PMC8780914
fatcat:3ezsy62atber5j7tw6rdj3jcgu
LLDNet: A Lightweight Lane Detection Approach for Autonomous Cars Using Deep Learning
2022
Sensors
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Lane detection plays a vital role in making the idea of the autonomous car a reality. ...
In recent years, Deep Learning (DL) models, especially Convolutional Neural Network (CNN) models have been proposed and utilized to perform pixel-level lane segmentation. ...
We also cordially thank the Youtube channel dxer manto for permitting us to use their Youtube videos in our research.
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/s22155595
pmid:35898103
pmcid:PMC9332112
fatcat:2ry2uixhdbdkxjcsez46sezequ
CARS 2020—Computer Assisted Radiology and Surgery Proceedings of the 34th International Congress and Exhibition, Munich, Germany, June 23–27, 2020
2020
International Journal of Computer Assisted Radiology and Surgery
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The traditional platforms of CARS Congresses for the scholarly publication and communication process for the presentation of R&D ideas were congress centers or hotels, typically hosting 600-800 participants ...
Aiming to stimulate complimentary thoughts and actions on what is being presented at CARS, implies a number of enabling variables for optimal analogue scholarly communication, such as (examples given are ...
Therefore, a master-slave robotic system for VI is necessary for minimization of the radiation exposure. ...
doi:10.1007/s11548-020-02171-6
pmid:32514840
fatcat:lyhdb2zfpjcqbf4mmbunddwroq
CARS 2021: Computer Assisted Radiology and Surgery Proceedings of the 35th International Congress and Exhibition Munich, Germany, June 21–25, 2021
2021
International Journal of Computer Assisted Radiology and Surgery
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Semantic segmentation (SS) is one of the labeling methods that associate each pixel of an image with a class label. ...
; and none for the HC class. ...
doi:10.1007/s11548-021-02375-4
pmid:34085172
fatcat:6d564hsv2fbybkhw4wvc7uuxcy
CARS 2016—Computer Assisted Radiology and Surgery Proceedings of the 30th International Congress and Exhibition Heidelberg, Germany, June 21–25, 2016
2016
International Journal of Computer Assisted Radiology and Surgery
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We would like to thank the Spanish company BQ for the donation of the 3D printing hardware for clinical use. ...
'', and Amazon Inc., for providing valuable computing resources through an ''AWS in Education Research'' grant. ...
papers are reviewed for regular issues of IJCARS, and if applicable (i.e. if requested by the authors), also for presentation at the CARS congress. ...
doi:10.1007/s11548-016-1412-5
pmid:27206418
fatcat:uk5r46n2xvhedkfjzmeiweyneq
The Analysis of the Epic Poem of the Kosovo Cycle Car Lazar i carica Milica and Its Translation into English
[chapter]
2020
Belgrade English Language and Literature Studies
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This paper will be based on an analysis of the Serbian epic poem of the Kosovo cycle Car Lazar i carica Milica and its translations into English. ...
However, it is expected that, when translating such texts, translators be aware of the qualities of the original as the bearer of the culture and tradition of a people. ...
) I go, to shed my blood for Jesus' sake Noyes and Bacon: 10) a) to perish for Christ his Cross and Faith on the field of Kosovo b) I would ride to death for the Cross and the Faith on level Kosovo Nor ...
doi:10.18485/bells90.2020.1.ch33
fatcat:liozwtqwgjdt5gjlnky2qrwne4
Learning Semantic-Aware Dynamics for Video Prediction
[article]
2021
arXiv
pre-print
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The result is a predictive model that explicitly represents objects and learns their class-specific motion, which we evaluate on video prediction benchmarks. ...
The appearance of the scene is warped from past frames using the predicted motion in co-visible regions; dis-occluded regions are synthesized with content-aware inpainting utilizing the predicted scene ...
For example, we input the "car" segments to the semantic-aware encoder that learns the dynamics of the "road" class, and vice versa. ...
arXiv:2104.09762v1
fatcat:rzbewbus4zftpn6cu4e6asfoi4
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