Table 3.
MSRC labeling results. Pixel-wise classification rates are provided for each category. Global accuracy refers to the pixel-wise classification rate averaged over the whole dataset, and Average accuracy refers to the mean of all object class classification rates. The Pxl-Cls model is the pixel-wise classifier, whose output is integrated in our models.
| building | grass | tree | cow | sheep | sky | airplane | water | face | car | bicycle | flower | sign | bird | book | chair | road | cat | dog | body | boat | Average | Global | ||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Exp1 use same data term as HIM | Pxl-Cls | 59.4 | 95.8 | 85.2 | 73.8 | 74.4 | 91.6 | 80.3 | 66.3 | 82.9 | 63.3 | 84.5 | 59.3 | 49.7 | 40.4 | 82.4 | 65.3 | 73.8 | 61.3 | 37.8 | 65.5 | 17.6 | 67.2 | 75.9 |
| Model 1 | 62.7 | 96.2 | 87.9 | 78.7 | 78.6 | 92.6 | 83.7 | 66.8 | 85.5 | 69.2 | 87.1 | 63.9 | 53.6 | 45.3 | 85.7 | 71.8 | 75.4 | 66.5 | 41.9 | 68.4 | 17.5 | 70.4 | 78.1 | |
| Model 2 | 66.2 | 97.7 | 88.9 | 88.0 | 85.7 | 91.9 | 82.8 | 72.6 | 85.7 | 80.1 | 89.8 | 66.6 | 64.0 | 54.1 | 90.4 | 74.1 | 78.9 | 60.3 | 53.8 | 71.3 | 15.3 | 74.2 | 81.4 | |
| Model 3 | 69.1 | 97.7 | 88.5 | 86.5 | 84.0 | 91.6 | 82.7 | 70.7 | 85.6 | 80.4 | 90.3 | 68.5 | 62.5 | 67.6 | 90.7 | 73.0 | 79.0 | 73.3 | 50.9 | 69.8 | 13.1 | 75.0 | 81.7 | |
| HIM [27] | 66.5 | 96.2 | 87.9 | 82.3 | 83.3 | 91.4 | 80.7 | 65.7 | 89.0 | 79.0 | 91.9 | 78.5 | 69.9 | 44.5 | 92.6 | 80.3 | 78.2 | 77.6 | 41.2 | 71.9 | 13.1 | 74.1 | 81.2 | |
| Exp2 use data term from Darwin software library | Pxl-Cls | 55.9 | 95.9 | 82.0 | 77.1 | 71.1 | 90.3 | 72.4 | 69.1 | 79.7 | 54.3 | 78.7 | 62.2 | 42.5 | 38.8 | 64.3 | 58.0 | 84.4 | 59.4 | 39.8 | 64.4 | 27.8 | 65.2 | 74.5 |
| Model 1 | 63.9 | 96.9 | 86.6 | 81.9 | 75.2 | 91.9 | 76.1 | 72.8 | 81.3 | 59.9 | 84.4 | 65.8 | 45.5 | 41.7 | 66.1 | 61.9 | 87.7 | 64.0 | 43.4 | 67.5 | 29.4 | 68.7 | 77.6 | |
| Model 2 | 71.6 | 98.3 | 91.9 | 90.1 | 76.1 | 94.5 | 68.3 | 78.3 | 82.2 | 57.3 | 84.7 | 74.0 | 44.7 | 35.8 | 73.6 | 55.4 | 88.7 | 67.0 | 44.9 | 61.8 | 23.6 | 69.7 | 80.4 | |
| Model 3 | 73.0 | 98.1 | 92.3 | 91.4 | 78.4 | 94.4 | 70.6 | 77.2 | 82.5 | 60.2 | 86.2 | 73.4 | 48.4 | 35.3 | 76.8 | 60.3 | 89.0 | 68.0 | 44.6 | 63.1 | 22.2 | 70.7 | 81.1 | |
| [9] | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 71.1 | 81.0 | |
| some state-of-the-art models | [19] | 80 | 96 | 86 | 74 | 87 | 99 | 74 | 87 | 86 | 87 | 82 | 97 | 95 | 30 | 86 | 31 | 95 | 51 | 69 | 66 | 9 | 75 | 86 |
| [23] | 63 | 93 | 88 | 84 | 65 | 89 | 69 | 78 | 74 | 81 | 84 | 80 | 51 | 55 | 84 | 80 | 69 | 47 | 59 | 71 | 24 | 71 | 78 | |
| [8] | 60 | 78 | 77 | 91 | 68 | 88 | 87 | 76 | 73 | 77 | 93 | 97 | 73 | 57 | 95 | 81 | 76 | 81 | 46 | 56 | 46 | 75 | 77 | |
| DPG [22] | 65 | 87 | 87 | 84 | 75 | 93 | 94 | 78 | 83 | 72 | 93 | 86 | 70 | 50 | 93 | 80 | 86 | 78 | 28 | 58 | 27 | 76 | 80 | |
| [17] | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 78.3 | 86.0 | |