Results 11 to 20 of about 2,823,042 (391)

SSD: Single Shot MultiBox Detector [PDF]

European 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, Dragomir Anguelov, D. Erhan, Christian Szegedy, Scott E. Reed, Cheng-Yang Fu, A. Berg   +6 more
semanticscholar   +1 more source

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

Computer 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, Ying Wang, Feras Dayoub, Niko Sunderhauf   +3 more
semanticscholar   +1 more source

The BABAR detector [PDF]

Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 2002
118 pages, 94 figure files, to be published in Nucl. Inst.
AUBERT B, BAZAN A, BOUCHAM A, BOUTIGNY D, DE BONIS I, FAVIER J, GAILLARD JM, JEREMIE A, KARYOTAKIS Y, LE FLOUR T, LEES JP, LIEUNARD S, PETITPAS P, ROBBE P, TISSERAND V, ZACHARIADOU K, PALANO A, CHEN GP, CHEN JC, QI ND, RONG G, WANG P, ZHU YS, EIGEN G, REINERTSEN PL, STUGU B, ABBOTT B, ABRAMS GS, AMERMAN L, BORGLAND AW, BREON AB, BROWN DN, BUTTON SHAFER J, CLARK AR, DARDIN S, DAY C, DOW SF, FAN Q, GAPONENKO I, GILL MS, GOOZEN FR, GOWDY SJ, GRITSAN A, GROYSMAN Y, HERNIKL C, JACOBSEN RG, JARED RC, KADEL RW, KADYK J, KARCHER A, KERTH LT, KIPNIS I, KLUTH S, KRAL JF, LAFEVER R, LECLERC C, LEVI ME, LEWIS SA, LIONBERGER C, LIU T, LONG M, LUO L, LYNCH G, LUFT P, MANDELLI E, MARINO M, MARKS K, MATUK C, MEYER AB, MINOR R, MOKHTARANI A, MOMAYEZI M, NYMAN M, ODDONE PJ, OHNEMUS J, OSHATZ D, PATTON S, PEDRALI NOY M, PERAZZO A, PETERS C, POPE W, PRIPSTEIN M, QUARRIE DR, RASSON JE, ROE NA, ROMOSAN A, RONAN MT, SHELKOV VG, STONE R, STROTHER PD, TELNOV AV, VON DER LIPPE H, WEBER TF, WENZEL WA, ZIZKA G, BRIGHT THOMAS PG, HAWKES CM, KIRK A, KNOWLES DJ, O'NEALE SW, WATSON AT, WATSON NK, DEPPERMANN T, KOCH H, KRUG J, KUNZE M, LEWANDOWSKI B, PETERS K, SCHMUECKER H, STEINKE M, ANDRESS JC, BARLOW NR, BHIMJI W, CHEVALIER N, CLARK PJ, COTTINGHAM WN, DE GROOT N, DYCE N, FOSTER B, MASS A, MCFALL JD, WALLOM D, WILSON FF, ABE K, HEARTY C, MCKENNA JA, THIESSEN D, CAMANZI B, HARRISON TJ, MCKEMEY AK, TINSLAY J, ANTOHIN EI, BLINOV VE, BUKIN AD, BUKIN DA, BUZYKAEV AR, DUBROVIN MS, GOLUBEV VB, IVANCHENKO VN, KOLACHEV GM, KOROL AA, KRAVCHENKO EA, MIKHAILOV SF, ONUCHIN AP, SALNIKOV AA, SEREDNYAKOV SI, SKOVPEN YI, TELNOV VI, YUSHKOV AN, BOOTH J, LANKFORD AJ, MANDELKERN M, PIER S, STOKER DP, ZIOULAS G, AHSAN A, ARISAKA K, BUCHANAN C, CHUN S, FACCINI R, MACFARLANE DB, PRELL SA, RAHATLOU S, RAVEN G, SHARMA V, BURKE S, CALLAHAN D, CAMPAGNARI C, DAHMES B, HALE D, HART PA, KUZNETSOVA N, KYRE S, LEVY SL, LONG O, LU A, MAY J, RICHMAN JD, VERKERKE W, WITHERELL M, YELLIN S, BERINGER J, DEWITT J, DORFAN DE, EISNER AM, FREY A, GRILLO AA, GROTHE M, HEUSCH CA, JOHNSON RP, KROEGER W, LOCKMAN WS, PULLIAM T, ROWE W, SADROZINSKI H, SCHALK T, SCHMITZ RE, SCHUMM BA, SEIDEN A, SPENCER EN, WALKOWIAK W, MULLER PFEFFERKORN R, COHEN TANUGI J, DI LODOVICO F, BOZZI C, FINOCCHIARO G, BAGNASCO S, PALLAVICINI M, PATRIGNANI C, TRINCAZ DUVOID S, TOURAMANIS C, SALVATORE F, DALLAPICCOLA C, FARBIN A, WILLOCQ S, PALOMBO F, LISTA L, SCIACCA C, IWASAKI M, CARACCIOLO, ROBERTO, GALEAZZI F, MARZOLLA M, ROTONDO M, SIMONETTO, FRANCO, STROILI, ROBERTO, TORASSA E, BENAYOUN M, MARTINEZ VIDAL F, ROOS L, RATTI L, RE V, BETTARINI S, FORTI F, GADDI A, MORSANI F, NERI N, PAOLONI E, RAMA M, RIZZO G, SIMI, GABRIELE, ALBERT J, CAVOTO G, DEL RE D, FERRAROTTO F, LAMANNA E, LEONARDI E, VOENA C, ADYE T, EGEDE U, COOMBES R, LANGEVELD W, MORII M, ROODMAN A, SCHWIENING J, STAHL A, SU D, ROAT C, BONA M, DELLA RICCA G, PREST M, VALLAZZA E, KOWALEWSKI R, CHARLES E, DASU S, NIELSEN J   +264 more
openaire   +9 more sources

Anchor DETR: Query Design for Transformer-Based Detector

AAAI Conference on Artificial Intelligence, 2022
In this paper, we propose a novel query design for the transformer-based object detection. In previous transformer-based detectors, the object queries are a set of learned embeddings.
Yingming Wang, X. Zhang, Tong Yang, Jian Sun   +3 more
semanticscholar   +1 more source

Opportunities for Bright Beam Generation at the Argonne Wakefield Accelerator (AWA)

Instruments, 2023
Bright electron beams have played a critical role in many recent advances in accelerator technology. Producing bright beams via photo-emission is ultimately limited by the mean transverse energy (MTE), which is determined by the photocathode.
Emily Frame, Afnan Al Marzouk, Oksana Chubenko, Scott Doran, Philippe Piot, John Power, Eric Wisniewski   +6 more
doaj   +1 more source

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

Computer 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, C. Yao, He Wen, Yuzhi Wang, Shuchang Zhou, Weiran He, Jiajun Liang   +6 more
semanticscholar   +1 more source

First evaluation of a novel ionisation chamber for thermal neutron beam monitoring

EPJ Techniques and Instrumentation, 2022
The European Spallation Source ERIC (ESS), currently under construction in Lund, Sweden is a facility established to deliver the highest integrated neutron flux originating from a pulsed source with the aim of supporting an initial fifteen neutron ...
Vendula Maulerová, Kalliopi Kanaki, Martin Klein, Christian J. Schmidt, Peter M. Kadletz, Alessio Laloni, Richard J. Hall-Wilton   +6 more
doaj   +1 more source

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

IEEE 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, Chunhua Shen, Hao Chen, Tong He   +3 more
semanticscholar   +1 more source

Mission analysis, dynamics and robust control of an indoor blimp in a CERN detector magnetic environment

Frontiers in Robotics and AI, 2023
At the European Organization for Nuclear Research (CERN), a Research and Development (R&D) program studies robotic systems for inspection and maintenance of the next-generation of particle detectors.
Francesco Mazzei, Lorenzo Teofili, Fabio Curti, Corrado Gargiulo   +3 more
doaj   +1 more source

Comparing scientific abstracts generated by ChatGPT to original abstracts using an artificial intelligence output detector, plagiarism detector, and blinded human reviewers

bioRxiv, 2022
Background Large language models such as ChatGPT can produce increasingly realistic text, with unknown information on the accuracy and integrity of using these models in scientific writing. Methods We gathered ten research abstracts from five high impact
C. Gao, F. Howard, N. Markov, E. Dyer, S. Ramesh, Yuan Luo, Alexander T. Pearson   +6 more
semanticscholar   +1 more source