paper-with-me

Object Counting 벤치마크

Object Counting on COCO count-test

7개 결과 · ⬇ CSV · JSON

m-reIRMSE 낮을수록 좋음

0.18 0.195 0.21 0.225 0.24 2016-04 2026-11 ens — 0.18 (2016-04-12) Seq-sub-ft-3x3 — 0.18 (2016-04-12) Fast-RCNN — 0.2 (2016-04-12) glance-ft-2L — 0.23 (2016-04-12) Aso-sub-ft-3x3 — 0.24 (2016-04-12) LC-ResFCN — 0.19 (2018-07-25) Supervised Density Map — 0.18 (2019-03-06) ens — 0.18 (2016-04-12)
RankModel m-reIRMSEm-reIRMSE-nzmRMSEmRMSE-nz PaperCodeYear
1 ens 0.180.810.361.98 Counting Everyday Objects in Everyday Scenes prithv1/cvpr2017_counting 2016
1 Seq-sub-ft-3x3 0.180.820.351.96 Counting Everyday Objects in Everyday Scenes prithv1/cvpr2017_counting 2016
1 Supervised Density Map 0.180.840.341.89 Object Counting and Instance Segmentation with Image-level Supervision GuoleiSun/CountSeg · alzayats/CountSeg-1 2019
4 LC-ResFCN 0.190.990.382.20 Where are the Blobs: Counting by Localization with Point Supervision ElementAI/LCFCN · andohuman/RebarCounting · CJLee94/Point-Supervised-Segmentation 2018
5 Fast-RCNN 0.201.130.492.78 Counting Everyday Objects in Everyday Scenes prithv1/cvpr2017_counting 2016
6 glance-ft-2L 0.230.910.422.25 Counting Everyday Objects in Everyday Scenes prithv1/cvpr2017_counting 2016
7 Aso-sub-ft-3x3 0.240.870.382.08 Counting Everyday Objects in Everyday Scenes prithv1/cvpr2017_counting 2016
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