Endoscopic Image Classification and Retrieval using Clustered Convolutional Features
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Medical Systems"
DOI: 10.1007/s10916-017-0836-y
Abstract: With the growing use of minimally invasive surgical procedures, endoscopic video archives are growing at a rapid pace. Efficient access to relevant content in such huge multimedia archives require compact and discriminative visual features for… read more here.
Keywords: feature; classification retrieval; convolutional features; image classification ... See more keywords
Robust Object Tracking Using Affine Transformation and Convolutional Features
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2960105
Abstract: The state-of-the-art trackers using deep learning technology have no special strategy to capture the geometric deformation of the target. Based on that the affine manifold can better capture the target shape change and that the… read more here.
Keywords: convolutional features; robust object; affine transformation; object tracking ... See more keywords
Online Scale Adaptive Visual Tracking Based on Multilayer Convolutional Features
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Cybernetics"
DOI: 10.1109/tcyb.2017.2768570
Abstract: Convolutional neural networks can efficiently exploit sophisticated hierarchical features which have different properties for visual tracking problem. In this paper, by using multilayer convolutional features jointly and constructing a scale pyramid, we propose an online… read more here.
Keywords: visual tracking; scale adaptive; convolutional features; multilayer convolutional ... See more keywords
Remote Sensing Scene Classification by Gated Bidirectional Network
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2019.2931801
Abstract: Remote sensing (RS) scene classification is a challenging task due to various land covers contained in RS scenes. Recent RS classification methods demonstrate that aggregating the multilayer convolutional features, which are extracted from different hierarchical… read more here.
Keywords: convolutional features; remote sensing; multilayer convolutional; feature ... See more keywords
Richer Convolutional Features for Edge Detection
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2018.2878849
Abstract: Edge detection is a fundamental problem in computer vision. Recently, convolutional neural networks (CNNs) have pushed forward this field significantly. Existing methods which adopt specific layers of deep CNNs may fail to capture complex data… read more here.
Keywords: features edge; convolutional features; richer convolutional; rcf ... See more keywords
Robust L1 tracker with CNN features
Sign Up to like & getrecommendations! Published in 2017 at "EURASIP Journal on Wireless Communications and Networking"
DOI: 10.1186/s13638-017-0982-4
Abstract: Recently, L1 tracker has been widely applied and received great success in visual tracking. However, most L1 trackers use only the image intensity for sparse representation, which is insufficient to represent the object especially when… read more here.
Keywords: robust tracker; sparse representation; representation; tracker ... See more keywords