Results 21 to 30 of about 7,417,847 (369)
Salient object detection via objectness measure [PDF]
2015 IEEE International Conference on Image Processing (ICIP), 2015 Salient object detection has become an important task in many image processing applications. The existing approaches exploit background prior and contrast prior to attain state of the art results. In this paper, instead of using background cues, we estimate the foreground regions in an image using objectness proposals and utilize it to obtain smooth ...
R, Sai Srivatsa, Babu, R. Venkatesh
openaire +2 more sources
Cascade R-CNN: Delving Into High Quality Object Detection [PDF]
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2017 In object detection, an intersection over union (IoU) threshold is required to define positives and negatives. An object detector, trained with low IoU threshold, e.g. 0.5, usually produces noisy detections.
Zhaowei Cai, N. Vasconcelos
semanticscholar +1 more source
Review of 3D Object Detection for Autonomous Driving [PDF]
Jisuanji kexue, 2023 In recent years,with the rapid development of autonomous driving,3D object detection technology as the core of perception systems has received more and more attention and become a hot research direction.At the same time,the wide application of deep ...
HUO Weile, JING Tao, REN Shuang
doaj +1 more source
TPH-YOLOv5: Improved YOLOv5 Based on Transformer Prediction Head for Object Detection on Drone-captured Scenarios [PDF]
2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 2021 Object detection on drone-captured scenarios is a recent popular task. As drones always navigate in different altitudes, the object scale varies violently, which burdens the optimization of networks.
Xingkui Zhu +3 more
semanticscholar +1 more source
Video Sparse Transformer With Attention-Guided Memory for Video Object Detection
IEEE Access, 2022 Detecting objects in a video, known as Video Object Detection (VOD), is challenging since appearance changes of objects over time may bring detection errors.
Masato Fujitake, Akihiro Sugimoto
doaj +1 more source
Object Detection With Deep Learning: A Review [PDF]
IEEE Transactions on Neural Networks and Learning Systems, 2018 Due to object detection’s close relationship with video analysis and image understanding, it has attracted much research attention in recent years. Traditional object detection methods are built on handcrafted features and shallow trainable architectures.
Zhong-Qiu Zhao +3 more
semanticscholar +1 more source
Exploring Plain Vision Transformer Backbones for Object Detection [PDF]
European Conference on Computer Vision, 2022 We explore the plain, non-hierarchical Vision Transformer (ViT) as a backbone network for object detection. This design enables the original ViT architecture to be fine-tuned for object detection without needing to redesign a hierarchical backbone for ...
Yanghao Li +3 more
semanticscholar +1 more source
The Role of CaMKII Overexpression and Oxidation in Atrial Fibrillation—A Simulation Study
Frontiers in Physiology, 2020 This simulation study aims to investigate how the Calcium/calmodulin-dependent protein kinase II (CaMKII) overexpression and oxidation would influence the cardiac electrophysiological behavior and its arrhythmogenic mechanism in atria. A new-built CaMKII
Wei Wang +8 more
doaj +1 more source
You Only Look Once: Unified, Real-Time Object Detection [PDF]
Computer Vision and Pattern Recognition, 2015 We present YOLO, a new approach to object detection. Prior work on object detection repurposes classifiers to perform detection. Instead, we frame object detection as a regression problem to spatially separated bounding boxes and associated class ...
Joseph Redmon +3 more
semanticscholar +1 more source
BEVDepth: Acquisition of Reliable Depth for Multi-view 3D Object Detection [PDF]
AAAI Conference on Artificial Intelligence, 2022 In this research, we propose a new 3D object detector with a trustworthy depth estimation, dubbed BEVDepth, for camera-based Bird's-Eye-View~(BEV) 3D object detection.
Yinhao Li +7 more
semanticscholar +1 more source