FusionSeg: Learning to combine motion and appearance for fully automatic segmention of generic objects in videos

We propose an end-to-end learning framework for segmenting generic objects in videos. Our method learns to combine appearance and motion information to produce pixel level segmentation masks for all prominent objects in videos... (read more)

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TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Unsupervised Video Object Segmentation DAVIS 2016 FSEG Jaccard (Mean) 70.7 # 16
Jaccard (Recall) 83.5 # 15
Jaccard (Decay) 1.5 # 14
F-measure (Mean) 65.3 # 17
F-measure (Recall) 73.8 # 18
F-measure (Decay) 1.8 # 7
J&F 68 # 16

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