Number of the records: 1
Texture Segmentation Benchmark
SYS 0545221 LBL 01000a^^22220027750^450 005 20240103230141.4 014 $a 85105053349 $2 SCOPUS 014 $a 33905324 $2 PUBMED 014 $a 000836666600081 $2 WOS 017 $a 10.1109/TPAMI.2021.3075916 $2 DOI 100 $a 20210906d m y slo 03 ba 101 $a eng $d eng 102 $a US 200 1-
$a Texture Segmentation Benchmark 215 $a 16 s. $c P 463 -1
$1 001 cav_un_epca*0256725 $1 011 $a 0162-8828 $e 1939-3539 $1 200 1 $a IEEE Transactions on Pattern Analysis and Machine Intelligence $v Roč. 44, č. 9 (2022), s. 5647-5663 $1 210 $c IEEE Computer Society 610 $a Benchmark 610 $a Image segmentation 610 $a Texture segmentation 610 $a (Un)supervised segmentation 610 $a Segmentation criteria 610 $a Scale, rotation and illumination invariants 700 -1
$3 cav_un_auth*0101165 $a Mikeš $b Stanislav $p UTIA-B $i Rozpoznávání obrazu $j Department of Pattern Recognition $k RO $l RO $4 070 $T Ústav teorie informace a automatizace AV ČR, v. v. i. 701 -1
$3 cav_un_auth*0101093 $a Haindl $b Michal $p UTIA-B $i Rozpoznávání obrazu $j Department of Pattern Recognition $k RO $l RO $w Department of Pattern Recognition $z A $T Ústav teorie informace a automatizace AV ČR, v. v. i. 856 $u http://library.utia.cas.cz/separaty/2021/RO/haindl-0545221.pdf 856 $u https://ieeexplore.ieee.org/document/9416785 $9 RIV
Number of the records: 1