Dataset Restricted Access
Albanis, Georgios;
Zioulis, Nikolaos;
Drakoulis, Petros;
Gkitsas, Vasileios;
Sterzentsenko, Vladimiros;
Alvarez, Federico;
Zarpalas, Dimitrios;
Daras, Petros
<?xml version='1.0' encoding='UTF-8'?> <record xmlns="http://www.loc.gov/MARC21/slim"> <leader>00000nmm##2200000uu#4500</leader> <datafield tag="041" ind1=" " ind2=" "> <subfield code="a">eng</subfield> </datafield> <datafield tag="653" ind1=" " ind2=" "> <subfield code="a">Spherical Depth Estimation</subfield> </datafield> <datafield tag="653" ind1=" " ind2=" "> <subfield code="a">Spherical Panoramas</subfield> </datafield> <datafield tag="653" ind1=" " ind2=" "> <subfield code="a">Omnidirectional Dataset</subfield> </datafield> <datafield tag="653" ind1=" " ind2=" "> <subfield code="a">Benchmark</subfield> </datafield> <datafield tag="653" ind1=" " ind2=" "> <subfield code="a">360</subfield> </datafield> <datafield tag="653" ind1=" " ind2=" "> <subfield code="a">Computer Vision</subfield> </datafield> <datafield tag="653" ind1=" " ind2=" "> <subfield code="a">Deep Learning</subfield> </datafield> <datafield tag="653" ind1=" " ind2=" "> <subfield code="a">Data-driven Methods</subfield> </datafield> <datafield tag="653" ind1=" " ind2=" "> <subfield code="a">3D Vision</subfield> </datafield> <datafield tag="653" ind1=" " ind2=" "> <subfield code="a">Depth Estimation</subfield> </datafield> <datafield tag="653" ind1=" " ind2=" "> <subfield code="a">Geometry Estimation</subfield> </datafield> <datafield tag="653" ind1=" " ind2=" "> <subfield code="a">Surface Orientation Estimation</subfield> </datafield> <datafield tag="653" ind1=" " ind2=" "> <subfield code="a">Indoor Scenes</subfield> </datafield> <datafield tag="653" ind1=" " ind2=" "> <subfield code="a">Scene Understanding</subfield> </datafield> <controlfield tag="005">20210621014833.0</controlfield> <datafield tag="500" ind1=" " ind2=" "> <subfield code="a">Dataset with coupled color and depth maps.(normals are not included but may be provided upon request)</subfield> </datafield> <controlfield tag="001">4991961</controlfield> <datafield tag="711" ind1=" " ind2=" "> <subfield code="d">19-25 June 2021</subfield> <subfield code="g">CVPR</subfield> <subfield code="a">IEEE Computer Vision and Pattern Recognition Conference</subfield> <subfield code="c">Online, Virtual</subfield> </datafield> <datafield tag="700" ind1=" " ind2=" "> <subfield code="u">Centre for Research and Technology Hellas</subfield> <subfield code="0">(orcid)0000-0002-7898-9344</subfield> <subfield code="a">Zioulis, Nikolaos</subfield> </datafield> <datafield tag="700" ind1=" " ind2=" "> <subfield code="u">Centre for Research and Technology Hellas</subfield> <subfield code="a">Drakoulis, Petros</subfield> </datafield> <datafield tag="700" ind1=" " ind2=" "> <subfield code="u">Centre for Research and Technology Hellas</subfield> <subfield code="a">Gkitsas, Vasileios</subfield> </datafield> <datafield tag="700" ind1=" " ind2=" "> <subfield code="u">Centre for Research and Technology Hellas</subfield> <subfield code="a">Sterzentsenko, Vladimiros</subfield> </datafield> <datafield tag="700" ind1=" " ind2=" "> <subfield code="u">Universidad Politécnica de Madrid</subfield> <subfield code="a">Alvarez, Federico</subfield> </datafield> <datafield tag="700" ind1=" " ind2=" "> <subfield code="u">Centre for Research and Technology Hellas</subfield> <subfield code="a">Zarpalas, Dimitrios</subfield> </datafield> <datafield tag="700" ind1=" " ind2=" "> <subfield code="u">Centre for Research and Technology Hellas</subfield> <subfield code="a">Daras, Petros</subfield> </datafield> <datafield tag="542" ind1=" " ind2=" "> <subfield code="l">restricted</subfield> </datafield> <datafield tag="856" ind1="4" ind2=" "> <subfield code="y">Conference website</subfield> <subfield code="u">http://cvpr2021.thecvf.com/</subfield> </datafield> <datafield tag="260" ind1=" " ind2=" "> <subfield code="c">2021-06-19</subfield> </datafield> <datafield tag="909" ind1="C" ind2="O"> <subfield code="p">openaire_data</subfield> <subfield code="p">user-atlantis-ar</subfield> <subfield code="o">oai:zenodo.org:4991961</subfield> </datafield> <datafield tag="100" ind1=" " ind2=" "> <subfield code="u">Centre for Research and Technology Hellas</subfield> <subfield code="0">(orcid)0000-0002-2032-6767</subfield> <subfield code="a">Albanis, Georgios</subfield> </datafield> <datafield tag="245" ind1=" " ind2=" "> <subfield code="a">Pano3D: GibsonV2 Tiny-Medium-Fullplus High Resolution</subfield> </datafield> <datafield tag="980" ind1=" " ind2=" "> <subfield code="a">user-atlantis-ar</subfield> </datafield> <datafield tag="536" ind1=" " ind2=" "> <subfield code="c">951900</subfield> <subfield code="a">AuThoring tooL for indoor Augmented and dimiNished realiTy experIenceS</subfield> </datafield> <datafield tag="520" ind1=" " ind2=" "> <subfield code="a"><p>Pano3D is a new benchmark for depth estimation from spherical panoramas. Its goal is to drive progress for this task in a consistent and holistic manner. To achieve that we generate a new dataset and integrate evaluation metrics that capture not only depth performance, but also secondary traits like boundary preservation and smoothness. Moreover,&nbsp;Pano3D&nbsp;takes a step beyond typical intra-dataset evaluation schemes to inter-dataset performance assessment. By disentangling generalization to three different axes,&nbsp;Pano3D&nbsp;facilitates proper extrapolation assessment under different out-of-training data conditions. Relying on the&nbsp;Pano3D&nbsp;holistic benchmark for 360 depth estimation we perform an extended analysis and derive a solid baseline for the task.</p></subfield> </datafield> <datafield tag="773" ind1=" " ind2=" "> <subfield code="n">doi</subfield> <subfield code="i">isVersionOf</subfield> <subfield code="a">10.5281/zenodo.4991960</subfield> </datafield> <datafield tag="024" ind1=" " ind2=" "> <subfield code="a">10.5281/zenodo.4991961</subfield> <subfield code="2">doi</subfield> </datafield> <datafield tag="980" ind1=" " ind2=" "> <subfield code="a">dataset</subfield> </datafield> </record>
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