Results 361 to 370 of about 7,363,707 (395)
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DiffusionDet: Diffusion Model for Object Detection
IEEE International Conference on Computer Vision, 2022We propose DiffusionDet, a new framework that formulates object detection as a denoising diffusion process from noisy boxes to object boxes. During the training stage, object boxes diffuse from ground-truth boxes to random distribution, and the model ...
Shoufa Chen +3 more
semanticscholar +1 more source
Ear and Hearing, 1993
Evoked potential threshold estimation can be made truly objective by using statistically based methods. In general, time domain analysis is preferable for responses which are impulsive (temporally narrow, spectrally broad), whereas frequency-domain analysis is more appropriate for tonal responses (spectrally narrow, temporally broad).
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Evoked potential threshold estimation can be made truly objective by using statistically based methods. In general, time domain analysis is preferable for responses which are impulsive (temporally narrow, spectrally broad), whereas frequency-domain analysis is more appropriate for tonal responses (spectrally narrow, temporally broad).
openaire +3 more sources
Large Selective Kernel Network for Remote Sensing Object Detection
IEEE International Conference on Computer Vision, 2023Recent research on remote sensing object detection has largely focused on improving the representation of oriented bounding boxes but has overlooked the unique prior knowledge presented in remote sensing scenarios.
Yuxuan Li +5 more
semanticscholar +1 more source
YOLOv10: Real-Time End-to-End Object Detection
Neural Information Processing SystemsOver the past years, YOLOs have emerged as the predominant paradigm in the field of real-time object detection owing to their effective balance between computational cost and detection performance.
Ao Wang +6 more
semanticscholar +1 more source
Human–object interaction detection with missing objects
Image and Vision Computing, 2021Existing studies on human-object interaction (HOI) assume that human and object instances can be detected. This paper proposes a more practical HOI detection method for when object instances are not necessarily easily detectable. To our knowledge, we introduce the first method for such challenging HOI detection that incorporates global scene ...
Kaen Kogashi +3 more
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Detection of objects carried by people
Proceedings. International Conference on Image Processing, 2003Our application context is the visual surveillance of archeological sites. In this context the main aim is to detect the presence of people and to scan them in order to recognize intruders on the basis of their gestures. Since an intruder needs some utensils indispensable to perform the illegal actions of excavating on the ancient ruins, intruder ...
M Leo, G Attolico, A Branca, A Distante
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YOLOv8: A Novel Object Detection Algorithm with Enhanced Performance and Robustness
2024 International Conference on Advances in Data Engineering and Intelligent Computing Systems (ADICS)In recent years, the You Only Look Once (YOLO) series of object detection algorithms have garnered significant attention for their speed and accuracy in real-time applications.
Rejin Varghese, S. M
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Salient object detection based on objectness
2015 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC), 2015We propose a novel salient object detection method based on objectness by generating salient object bounding box proposals. Smooth images of edge-preserving well and smooth background are obtained by using L 0 Gradient Minimization. After oversegmenting somooth images using SLIC algorithm, candidate bounding boxes as well as center and neighbor areas ...
Xingang Wang, Tie Zhang, Baoyan Wang
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Annotation for Object Detection
2021Computer vision is an important, new area of research. It requires large datasets for training; such datasets are often inaccessible due to financial reasons or do not exist for specialized needs. This paper discusses an annotation tool designed for convenient data annotation. The aim is to enable easy manual annotation for image.
P. Myna +4 more
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Object occlusion and object removal detection
SPIE Proceedings, 2013In general, there have methods to detect object removal event, but when people blocking the object an object, it is possible detect the event as removed. Thus, if we can make the system can classify between occlusion event and removal event, this can increase the accuracy and performance of the system. In this paper, we present a method that can detect
Siak Wang Khor +2 more
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