Results 321 to 330 of about 7,417,847 (369)

Correction: Investigating object detection errors in endoscopic imaging of esophageal SCC and dysplasia through precision-recall analysis. [PDF]

Front Oncol
Chang LJ, Lee KH, Mukundan A, Karmakar R, Bauravindah A, Chen TH, Huang CW, Wang HC.   +7 more
europepmc   +1 more source

Influences and Training Strategies for Effective Object Detection in Challenging Environments Using YOLO NAS-L. [PDF]

Sensors (Basel)
Steindl G, Baca A, Kornfeind P.
europepmc   +1 more source

Correction: A high‑throughput pipeline for phenotyping, object detection and quantification of leaf trichomes. [PDF]

Theor Appl Genet
González-Muñoz A, Wu DJ, Perera-Rodríguez AB, Rekik M, Giancola S, Wulff BBH, Gardener C.   +6 more
europepmc   +1 more source

Object detection through dynamic motor-sensory convergence

Nelinger G, Saraf-Sinik I, Ahissar E.
europepmc   +1 more source

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End-to-End Object Detection with Transformers

European Conference on Computer Vision, 2020
We present a new method that views object detection as a direct set prediction problem. Our approach streamlines the detection pipeline, effectively removing the need for many hand-designed components like a non-maximum suppression procedure or anchor ...
Nicolas Carion, Francisco Massa, Gabriel Synnaeve, Nicolas Usunier, Alexander Kirillov, Sergey Zagoruyko   +5 more
semanticscholar   +1 more source

Object Detection with Discriminatively Trained Part-Based Models

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2010
David Mcallester, Deva Ramanan
exaly   +2 more sources

Interactive object detection

2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012
In recent years, the rise of digital image and video data available has led to an increasing demand for image annotation. In this paper, we propose an interactive object annotation method that incrementally trains an object detector while the user provides annotations.
Yao, A., Gall, J., Leistner, C., van Gool, L.   +3 more
openaire   +2 more sources

Rich feature hierarchies for accurate object detection and semantic segmentation

Radioengineering, 2021
Formulation of the problem. Over the past few years, there has been little progress in object detection techniques. The most efficient are complex computational ensemble methods, which usually combine several low-level image properties with high-level ...
A.Y. Virasova, D. Klimov, O.E. Khromov, I. R. Gubaidullin, V. V. Oreshko   +4 more
semanticscholar   +1 more source