Results 41 to 50 of about 16,201 (241)
SWAG: Superpixels Weighted by Average Gradients for Explanations of CNNs
IEEE Workshop/Winter Conference on Applications of Computer Vision, 2021 Providing an explanation of the operation of CNNs that is both accurate and interpretable is becoming essential in fields like medical image analysis, surveillance, and autonomous driving.
Thomas Hartley +3 more
semanticscholar +1 more source
Visual Chunking: A List Prediction Framework for Region-Based Object Detection [PDF]
, 2015 We consider detecting objects in an image by iteratively selecting from a set of arbitrarily shaped candidate regions. Our generic approach, which we term visual chunking, reasons about the locations of multiple object instances in an image while ...
Bagnell, J. Andrew +3 more
core +2 more sources
A Survey of Weakly-supervised Image Semantic Segmentation Based on Image-level Labels
Taiyuan Ligong Daxue xuebao, 2021 According to the different ways of image-level label location inference, the weakly-supervised image semantic segmentation methods with image-level labels were divided into superpixel-based methods and classification-network-prior based methods.
Xinlin XIE +5 more
doaj +1 more source
BASS: Boundary-Aware Superpixel Segmentation [PDF]
2016 23rd International Conference on Pattern Recognition (ICPR), 2016 This work is partly funded by the Spanish MINECO project RobInstruct TIN2014-58178-R, by the ERA-Net Chistera project I-DRESS PCIN-2015-147 and by the EU project AEROARMS H2020-ICT-2014-1-644271. A. Rubio is supported by the industrial doctorate grant 2015-DI-010 of the AGAUR.
Rubio, Antonio +3 more
openaire +3 more sources
Monitoring Forest Loss in ALOS/PALSAR Time-Series with Superpixels
Remote Sensing, 2019 We present a flexible methodology to identify forest loss in synthetic aperture radar (SAR) L-band ALOS/PALSAR images. Instead of single pixel analysis, we generate spatial segments (i.e., superpixels) based on local image statistics to track homogeneous
Charlie Marshak +2 more
doaj +1 more source
ALFO: Adaptive Light Field Over-Segmentation
IEEE Access, 2021 Automatic image over-segmentation into superpixels has attracted increasing attention from researchers to apply it as a pre-processing step for several computer vision applications.
Maryam Hamad +3 more
doaj +1 more source
A Few Photons Among Many: Unmixing Signal and Noise for Photon-Efficient Active Imaging [PDF]
, 2016 Conventional LIDAR systems require hundreds or thousands of photon detections to form accurate depth and reflectivity images. Recent photon-efficient computational imaging methods are remarkably effective with only 1.0 to 3.0 detected photons per pixel ...
Goyal, Vivek K, Rapp, Joshua
core +1 more source
Adaptive Fuzzy Learning Superpixels Representation for PolSAR Image Classification
IEEE Transactions on Geoscience and Remote Sensing, 2021 The increasing applications of Polarimetric SAR (PolSAR) image classification demand for effective superpixels algorithms. Fuzzy superpixels algorithms reduce the misclassification rate by dividing pixels into superpixels, which are groups of pixels of ...
Yuwei Guo +6 more
semanticscholar +1 more source
Remote Sensing, 2018 Superpixels, as a state-of-the-art segmentation paradigm, have recently been widely used in computer vision and pattern recognition. Despite the effectiveness of these algorithms, there are still many limitations and challenges dealing with Very High ...
Zeinab Gharibbafghi +2 more
doaj +1 more source
Remote Sensing, 2020 In this paper, superpixel features and extended multi-attribute profiles (EMAPs) are embedded in a multiple kernel learning framework to simultaneously exploit the local and multiscale information in both spatial and spectral dimensions for hyperspectral
Lei Pan, Chengxun He, Yang Xiang, Le Sun
doaj +1 more source