Semantic Part Segmentation on Horse-Cow Horse (test) benchmark leaderboard · SOTA2 Research

Semantic Part Segmentation on Horse-Cow Horse (test)

93.39Bkg AccuracyPose-Guided Knowledge Transfer

Evaluation Results

Method
Pose-Guided Knowledge Transfer2018.05	93.39	75.63	88.39	72.61	54.95	76.99
Structure-evolving LSTM2018.05	92.51	74.89	87.55	71.93	57.45	76.87
Graph LSTM2018.05	91.73	72.89	86.34	69.04	53.76	74.75
Pose-Guided Knowledge Transfer2018.05	91.62	72.75	87.24	69.52	52.32	74.69
HAZN2015.11	90.94	70.75	84.49	63.91	51.73	72.36
HAZN2018.05	90.94	70.75	84.49	63.91	51.73	72.36
Attention2018.05	90.48	68.91	83.34	64.2	50.74	71.55
LargeFOV2015.11	87.44	64.45	80.7	54.61	44.03	66.25
JPO2015.11	87.34	60.02	77.52	58.35	51.88	67.02
HC*2015.11	85.71	57.3	77.88	51.93	37.1	61.98
SPS2015.11	79.14	47.64	69.74	38.85	—	—