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Failure detectors as first class objects
1999
Proceedings of the International Symposium on Distributed Objects and Applications
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We plead for an intermediate approach where failure detectors are first class objects. ...
The various roles of a failure detection service are all represented as first class objects. ...
Failure Detectors as First Class Objects It is until very recently that the idea of considering failure detection as a first class distributed service has emerged. ...
doi:10.1109/doa.1999.794001
dblp:conf/doa/FelberDGO99
fatcat:5d5f633z3jbbdja55nifws5ueu
The Combined Power of Conditions and Information on Failures to Solve Asynchronous Set Agreement
2008
SIAM journal on computing (Print)
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One of the noteworthy features of failure detectors is the modular approach they favor: one can independently, on one side, solve a problem with the help of a particular class of failure detector, and, ...
On the control side we have the failure detector approach [8], that abstracts away useful failure pattern information, available in common operating scenarios. ...
detectors. ...
doi:10.1137/050645580
fatcat:sqftwep2cvbqhbyul6vizc3uvq
In Search of the Holy Grail: Looking for the Weakest Failure Detector for Wait-Free Set Agreement
[chapter]
2006
Lecture Notes in Computer Science
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This algorithm is based on a leader failure detector class that takes into account the notion of participating processes. ...
Interestingly, this algorithm enjoys a first class property, namely, design simplicity. ...
In some sense, this paper looks for a failure detector class that, while being as weak as possible, is as strong as the object O, i.e., a class that allows designing wait-free failure detector-based set ...
doi:10.1007/11945529_2
fatcat:vjdaqloeqjdntnz5k5i7jfbfzy
Increasing the Power of the Iterated Immediate Snapshot Model with Failure Detectors
[chapter]
2012
Lecture Notes in Computer Science
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Interestingly, these simulations works for a large family of failure detector classes. ...
The first states that these models are computationally equivalent for decision tasks. The second states that they are no longer equivalent when both are enriched with the same failure detector. ...
The failure detector classes C = S x , ✸S x These failure detector classes (introduced in [2] ) extend the classes S and ✸S. ...
doi:10.1007/978-3-642-31104-8_20
fatcat:q4yu4t3o2zf6bhpboagjz3qh4i
What's in the Black Box? The False Negative Mechanisms Inside Object Detectors
[article]
2022
arXiv
pre-print
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In object detection, false negatives arise when a detector fails to detect a target object. ...
To understand why object detectors produce false negatives, we identify five 'false negative mechanisms', where each mechanism describes how a specific component inside the detector architecture failed ...
RetinaNet is a popular one-stage anchor-box object detector, and the first of its kind to obtain competitive performance with two-stage detectors [8] .
B. ...
arXiv:2203.07662v3
fatcat:foiwnblhnfhq5pmoylrbvjmkjm
Robust Tracking Based on Failure Recovery
2014
TELKOMNIKA Indonesian Journal of Electrical Engineering
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While suitable for cases when the object is always in the sense and these algorithms always results in failures and can't track back after failure. ...
While the distance larger then threshold tracking likely to fail, but the latest object model return by detector will reinitialize the tracker. ...
Detector treats every frame as independent and scans full frame to localize the state of the object. ...
doi:10.11591/telkomnika.v12i2.4214
fatcat:sfvmcd3kbjad5ltvkqgia5ib6y
Object Detection for Smart Factory Processes by Machine Learning
2021
Procedia Computer Science
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Video-based methods such as object detection systems are still in their infancy and rarely used as basis for process monitoring. ...
Video-based methods such as object detection systems are still in their infancy and rarely used as basis for process monitoring. ...
The difference between the APs of both failure classes decreases with increasing mAP for failure classes of the detector. ...
doi:10.1016/j.procs.2021.04.009
fatcat:wgwllcqvzram3olocmtpjn7au4
Resilience of Autonomous Vehicle Object Category Detection to Universal Adversarial Perturbations
[article]
2021
arXiv
pre-print
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2021
2021 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)
unpublished
doi:10.1109/iemtronics52119.2021.9422616 fatcat:o7vhq2bzpfaexbjsdemodgyqi4
doi:10.1109/iemtronics52119.2021.9422616 fatcat:o7vhq2bzpfaexbjsdemodgyqi4
In this work, we bring a fresh perspective on those procedures by evaluating the impact of universal perturbations on object detection at a class-level. ...
We use Faster-RCNN object detector on images of five different categories: person, car, truck, stop sign and traffic light from the COCO data set, while carefully perturbing the images using Universal ...
In order to rule out missed detections due to the failure of object detector, we curate the dataset based on the results of the object detector prior to perturbing an image. ...
arXiv:2107.04749v1
fatcat:7d7uazo6crgi5cym4jovxj24qm
What Can be Computed in a Distributed System?
[chapter]
2014
Lecture Notes in Computer Science
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It first presents a few of elements related to distributed computability, and then briefly addresses distributed complexity issues. The style of the paper is voluntarily informal. ...
In the extreme case where the environment is such that there is no synchrony assumption and the computing entities may commit failures, many problems become impossible to solve (in these cases, a network ...
As any type of computer science object (e.g., stack or lock), a failure detector class is defined by a set of abstract properties, i.e., independently of the way these properties are implemented. ...
doi:10.1007/978-3-642-54848-2_14
fatcat:clpsh3kdv5hh5cvlklobiodh3a
Did You Miss the Sign? A False Negative Alarm System for Traffic Sign Detectors
[article]
2019
arXiv
pre-print
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The proposed method raises an alarm when it discovers a failure by the object detector to detect a traffic sign. ...
Object detection is an integral part of an autonomous vehicle for its safety-critical and navigational purposes. Traffic signs as objects play a vital role in guiding such systems. ...
Our proposed algorithm belongs to the first group of approaches as we use the traffic sign detector to extract important cues to discover the failure of the detector. ...
arXiv:1903.06391v1
fatcat:cajp2qc4nzc63hauzrrldx3w2m
On the computability power and the robustness of set agreement-oriented failure detector classes
2008
Distributed computing
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In that sense, it can be seen as a step toward the characterization of the weakest failure detector class that allows solving the k-set agreement problem. ...
The weakest class of such failure detectors that allow to solve consensus is Ω. ...
Considering the previous question as a guideline, and base objects that are failure detectors, the paper has investigated three classes of failure detectors, namely, (3S x ) 1≤x≤n , (3ψ y 0≤x≤n ) and ( ...
doi:10.1007/s00446-008-0064-2
fatcat:33y7m4dqmrd47fmcy6iyrw2mrq
Locks Considered Harmful: A Look at Non-traditional Synchronization
[chapter]
2008
Lecture Notes in Computer Science
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Then, it is shown how the use of "additional power" such as appropriate failure detectors, or synchronization primitives stronger than read/write operations, allows to bypass the 2p − 1 lower bound. ...
This paper considers the implementation of concurrent objects in systems prone to asynchrony and process failures. ...
To that end, a new class of failure detectors (denoted Ω k * ) is first introduced. The parameter k can be seen as measuring the strength of the failure detector. ...
doi:10.1007/978-3-540-87785-1_33
fatcat:5334i7ywwbfxxafa3lzgi74she
Probabilistic Failure Detection for Efficient Distributed Storage Maintenance
2008
2008 Symposium on Reliable Distributed Systems
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timeout-based detectors using a wide range of parameters. ...
We conduct extensive simulations based both on synthetic and real traces, and show that Protector closely approximates the performance of a perfect "oracle" failure detector, while significantly outperforming ...
First, the objectives of the failure detectors are different. ...
doi:10.1109/srds.2008.28
dblp:conf/srds/TianYCZD08
fatcat:6wwjo6y6kzdjxm74znzaoz6fsy
Self-supervised object detection from audio-visual correspondence
[article]
2022
arXiv
pre-print
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We also show that we can align this detector to ground-truth classes with as little as one label per pseudo-class, and show how our method can learn to detect generic objects that go beyond instruments ...
We tackle the problem of learning object detectors without supervision. Differently from weakly-supervised object detection, we do not assume image-level class labels. ...
Without using any manual annotations, we learn to detect different objects in images, by first self-labelling boxes and object categories and then using those as targets to teach a detector. ...
arXiv:2104.06401v2
fatcat:2ttqidt4cjgbvl4t6dwgztkjty
Measuring the Objectness of Image Windows
2012
IEEE Transactions on Pattern Analysis and Machine Intelligence
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In the first, we sample a small number windows according to their objectness probability and give an algorithm to employ them as location priors for modern class-specific object detectors. ...
In the second application, we use objectness as a complementary score in addition to the class-specific model, which leads to fewer false positives. ...
While object detectors are specialized for one object class, such as cars or swans, in this paper we define and train a measure of objectness generic over classes. ...
doi:10.1109/tpami.2012.28
pmid:22248633
fatcat:njut2gtukzac5c7doismf44gye
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