Results 231 to 240 of about 1,194,643 (283)

Lightweight monocular depth estimation using a fusion-improved transformer. [PDF]

Sci Rep
Sui X, Gao S, Xu A, Zhang C, Wang C, Shi Z.   +5 more
europepmc   +1 more source

Metal loss defect detection and depth estimation using multi-spectral image analysis of cooling excited steel specimen with corrosion. [PDF]

Sci Rep
Egodawela S, Gostar AK, Samith Buddika HAD, Harischandra WANI, Dhammika AJ, Mahmoodian M.   +5 more
europepmc   +1 more source

Leveraging Near-Field Lighting for Monocular Depth Estimation from Endoscopy Videos. [PDF]

Comput Vis ECCV
Paruchuri A, Ehrenstein S, Wang S, Fried I, Pizer SM, Niethammer M, Sengupta R.   +6 more
europepmc   +1 more source

Dichroism-sensitive photoacoustic imaging for in-depth estimation of the optic axis in fibrous tissue. [PDF]

Photoacoustics
Cano C, Gholampour A, van Sambeek M, Lopata R, Wu M.   +4 more
europepmc   +1 more source

Fusing Events and Frames with Coordinate Attention Gated Recurrent Unit for Monocular Depth Estimation. [PDF]

Sensors (Basel)
Duan H, Guo C, Ou Y.
europepmc   +1 more source

Enhanced self-supervised monocular depth estimation with self-attention and joint depth-pose loss for laparoscopic images. [PDF]

Int J Comput Assist Radiol Surg
Li W, Hayashi Y, Oda M, Kitasaka T, Misawa K, Mori K.   +5 more
europepmc   +1 more source

Monocular Depth Estimation With Augmented Ordinal Depth Relationships [PDF]

IEEE Transactions on Circuits and Systems for Video Technology, 2020
10 ...
Yuanzhouhan Cao, Ke Xian, Chunhua Shen
exaly   +4 more sources

Single image depth estimation: An overview [PDF]

Digital Signal Processing, 2022
We review solutions to the problem of depth estimation, arguably the most important subtask in scene understanding. We focus on the single image depth estimation problem. Due to its properties, the single image depth estimation problem is currently best tackled with machine learning methods, most successfully with convolutional neural networks.
Alican Mertan, Damien Jade Duff
exaly   +3 more sources

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Perceptual Monocular Depth Estimation

Neural Processing Letters, 2021
Monocular depth estimation (MDE), which is the task of using a single image to predict scene depths, has gained considerable interest, in large part owing to the popularity of applying deep learning methods to solve “computer vision problems”. Monocular cues provide sufficient data for humans to instantaneously extract an understanding of scene ...
Janice Pan, Alan C. Bovik
openaire   +1 more source