Multi-stage boundary reference network for action segmentation

Table 1. Introduction of dataset
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Table 1. Introduction of dataset
数据集视频个数动作类数平均时长/min
GTEA
50Salads
Breakfast
28
50
1 712
11
17
48
1.5
7.5
2.7

Table 2. Comparison of LBP and WLBP
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Table 2. Comparison of LBP and WLBP
Method F1 Edit Acc
10 25 50
Baseline
Multi-LBP
Multi-WLBP
82.3
83.0
83.0
81.3
81.9
82.4
74.0
76.3
76.3
74.3
75.9
76.5
84.4
84.7
84.6

Table 3. Segmentation result comparisons on GTEA dataset

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Table 3. Segmentation result comparisons on GTEA dataset

GTEA	F1			Edit	Acc
GTEA	10	25	50	Edit	Acc
Dilated TCN^［4］	58.8	52.2	42.2	-	58.3
ED-TCN^［4］	72.2	69.3	56.0	-	64.0
TDRN^［13］	79.2	74.4	62.7	74.1	70.1
MS-TCN^［8］	87.5	85.4	74.6	81.4	79.2
MS-TCN++^［9］	88.8	85.7	76.0	83.5	80.1
BCN^［10］	88.5	87.1	77.3	84.4	79.8
Ours	90.6	89.2	78.7	86.4	80.2

Table 4. Segmentation result comparisons on 50Salads dataset

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Table 4. Segmentation result comparisons on 50Salads dataset

50Salads	F1			Edit	Acc
50Salads	10	25	50	Edit	Acc
Dilated TCN^［4］	52.2	47.6	37.4	43.1	59.3
ST-CNN^［14］	55.9	49.6	37.1	45.9	59.4
ED-TCN^［4］	68.0	63.9	52.6	59.8	64.7
TDRN^［13］	72.9	68.5	57.2	66.0	68.1
MS-TCN^［8］	76.3	74.0	64.5	67.9	80.7
MS-TCN++^［9］	80.7	78.5	70.1	74.3	83.7
BCN^［10］	82.3	81.3	74.0	74.3	84.4
Ours	83.0	82.4	76.3	76.5	84.6

Table 5. Segmentation result comparisons on the Breakfast dataset

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Table 5. Segmentation result comparisons on the Breakfast dataset

Breakfast	F1			Edit	Acc
Breakfast	10	25	50	Edit	Acc
ED-TCN^［4］	-	-	-	-	43.3
HTK^［15］	-	-	-	-	56.3
GRU^［16］	-	-	-	-	60.6
MS-TCN^［8］	52.6	48.1	37.9	61.7	66.3
MS-TCN++^［9］	64.1	58.6	45.9	65.6	67.6
BCN^［10］	68.7	65.5	55.0	66.2	70.4
Ours	69.5	66.8	56.6	67.1	71.2

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Lin MAO, Zhe CAO, Dawei YANG, Rubo ZHANG. Multi-stage boundary reference network for action segmentation[J]. Optics and Precision Engineering, 2022, 30(3): 340

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