Results 41 to 50 of about 2,071 (151)
Boosting Deep Open World Recognition by Clustering [PDF]
, 2020 While convolutional neural networks have brought significant advances in robot vision, their ability is often limited to closed world scenarios, where the number of semantic concepts to be recognized is determined by the available training set.
Bulò, Samuel Rota +5 more
core +3 more sources
Joint COCO and Mapillary Workshop at ICCV 2019: COCO Instance Segmentation Challenge Track
CoRR, 2020 1st Place Technical Report in ICCV2019/ ECCV2020 ...
Zeming Li +4 more
openaire +2 more sources
Mechanisms contributing to road network growth in volunteered street view imagery data [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information SciencesThis study focuses on the growth of road networks in volunteered street view imagery (VSVI) data, using data from the Mapillary platform in Tokyo as a case study. The results demonstrate that VSVI data extends outward from the city center and is governed
X. Zheng, M. Amemiya
doaj +1 more source
A comprehensive framework for evaluating the quality of street view imagery
International Journal of Applied Earth Observations and Geoinformation, 2022 Street view imagery (SVI) is increasingly in competition with traditional remote sensing sources and assuming its domination in myriads of studies, mainly thanks to the omnipresence of commercial services such as Google Street View.
Yujun Hou, Filip Biljecki
doaj +1 more source
Journal of Advanced Transportation, 2021 The multitarget vehicle tracking and motion state estimation are crucial for controlling the host vehicle accurately and preventing collisions. However, current multitarget tracking methods are inconvenient to deal with multivehicle issues due to the ...
Yuren Chen +4 more
doaj +1 more source
LiDAR-assisted Large-scale Privacy Protection in Street-view Cycloramas [PDF]
, 2019 Recently, privacy has a growing importance in several domains, especially in street-view images. The conventional way to achieve this is to automatically detect and blur sensitive information from these images.
Bondarev, Egor +3 more
core +2 more sources
, 2021 We address the problem of semantic nighttime image segmentation and improve the state-of-the-art, by adapting daytime models to nighttime without using nighttime annotations.
Dai, Dengxin +2 more
core +2 more sources
, 2018 We propose a convolutional network with hierarchical classifiers for per-pixel semantic segmentation, which is able to be trained on multiple, heterogeneous datasets and exploit their semantic hierarchy.
Dubbelman, Gijs, Meletis, Panagiotis
core +1 more source
SoftwareXStreet view imagery (SVI) is an increasingly important data source for urban analytics and environmental researchers studying the visual quality of the built environment.
Xiaohao Yang +2 more
doaj +1 more source
In-Place Activated BatchNorm for Memory-Optimized Training of DNNs
, 2018 In this work we present In-Place Activated Batch Normalization (InPlace-ABN) - a novel approach to drastically reduce the training memory footprint of modern deep neural networks in a computationally efficient way.
Bulò, Samuel Rota +2 more
core +1 more source