Skip to main content
. Author manuscript; available in PMC: 2022 Jan 1.
Published in final edited form as: Multimed Tools Appl. 2020 Sep 9;80(2):1687–1706. doi: 10.1007/s11042-020-09691-y

Table 4.

Overall performance on the SIFTflow dataset

Pixel (%) Class (%)
Multiscale ConvNet [14] 67.9 45.9
[14]+cover(balanced) 72.3 50.8
[14]+cover(natural) 78.5 29.6
CNN, Pinheiro et al. [35] 76.5 30.0
RCNN, Pinheiro et al. [35] 77.7 29.8
Superparsing [44] 76.9 29.4
Eigen et al. [42] 77.1 32.5
Tighe et al. [45] 78.6 39.2
Singh et al. [43] 79.2 33.8
Gould et al. [52] 78.4 25.7
Integration model +metric learning [46] 80.1 39.7
Ensemble model +metric learning [15] 81.2 45.5
CNN65-DAG-RNN [53] 81.1 48.2
Yang et al. [13] 79.8 48.7
FCN-8s [54] 85.9 53.9
DAG-RNN [50] 87.3 60.2
RCSL [17] 80.8 41.2
RCSL-seg [17] 81.6 47.5
sRCSL [22] 82.3 49.2
DrsNet 81.8 49.8