Results 11 to 20 of about 2,749,034 (338)

LoFTR: Detector-Free Local Feature Matching with Transformers [PDF]

open access: yesComputer Vision and Pattern Recognition, 2021
We present a novel method for local image feature matching. Instead of performing image feature detection, description, and matching sequentially, we propose to first establish pixel-wise dense matches at a coarse level and later refine the good matches ...
Jiaming Sun   +4 more
semanticscholar   +1 more source

ReDet: A Rotation-equivariant Detector for Aerial Object Detection [PDF]

open access: yesComputer Vision and Pattern Recognition, 2021
Recently, object detection in aerial images has gained much attention in computer vision. Different from objects in natural images, aerial objects are often distributed with arbitrary orientation.
Jiaming Han   +3 more
semanticscholar   +1 more source

Development of the CMS detector for the CERN LHC Run 3 [PDF]

open access: yesJournal of Instrumentation, 2023
Since the initial data taking of the CERN LHC, the CMS experiment has undergone substantial upgrades and improvements. This paper discusses the CMS detector as it is configured for the third data-taking period of the CERN LHC, Run 3, which started in ...
A. Hayrapetyan   +499 more
semanticscholar   +1 more source

Science Requirements and Detector Concepts for the Electron-Ion Collider [PDF]

open access: yesNuclear Physics, 2021
This report describes the physics case, the resulting detector requirements, and the evolving detector concepts for the experimental program at the Electron-Ion Collider (EIC).
R. A. Khalek   +413 more
semanticscholar   +1 more source

VarifocalNet: An IoU-aware Dense Object Detector [PDF]

open access: yesComputer Vision and Pattern Recognition, 2020
Accurately ranking the vast number of candidate detections is crucial for dense object detectors to achieve high performance. Prior work uses the classification score or a combination of classification and predicted localization scores to rank candidates.
Haoyang Zhang   +3 more
semanticscholar   +1 more source

YOLO-FaceV2: A Scale and Occlusion Aware Face Detector [PDF]

open access: yesPattern Recognition, 2022
In recent years, face detection algorithms based on deep learning have made great progress. These algorithms can be generally divided into two categories, i.e. two-stage detector like Faster R-CNN and one-stage detector like YOLO.
Ziping Yu   +5 more
semanticscholar   +1 more source

SSD: Single Shot MultiBox Detector [PDF]

open access: yesEuropean Conference on Computer Vision, 2015
We present a method for detecting objects in images using a single deep neural network. Our approach, named SSD, discretizes the output space of bounding boxes into a set of default boxes over different aspect ratios and scales per feature map location ...
W. Liu   +6 more
semanticscholar   +1 more source

JUNO physics and detector [PDF]

open access: yesProgress in Particle and Nuclear Physics, 2021
The Jiangmen Underground Neutrino Observatory (JUNO) is a 20 kton liquid scintillator detector in a laboratory at 700-m underground. An excellent energy resolution and a large fiducial volume offer exciting opportunities for addressing many important ...
Juno collaboration Angel Abusleme   +499 more
semanticscholar   +1 more source

FCOS: A Simple and Strong Anchor-Free Object Detector [PDF]

open access: yesIEEE Transactions on Pattern Analysis and Machine Intelligence, 2020
In computer vision, object detection is one of most important tasks, which underpins a few instance-level recognition tasks and many downstream applications.
Zhi Tian   +3 more
semanticscholar   +1 more source

EAST: An Efficient and Accurate Scene Text Detector [PDF]

open access: yesComputer Vision and Pattern Recognition, 2017
Previous approaches for scene text detection have already achieved promising performances across various benchmarks. However, they usually fall short when dealing with challenging scenarios, even when equipped with deep neural network models, because the
Xinyu Zhou   +6 more
semanticscholar   +1 more source

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