Anabranch Network for Camouflaged Object Segmentation

Camouflaged objects attempt to conceal their texture into the background and discriminating them from the background is hard even for human beings. The main objective of this paper is to explore the camouflaged object segmentation problem, namely, segmenting the camouflaged object(s) for a given image... (read more)

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TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK BENCHMARK
Camouflaged Object Segmentation CAMO ANet F-Measure 65.4 # 2
MAE 0.126 # 5
Weighted F-Measure 48.4 # 6
S-Measure 68.2 # 7
E-Measure 68.5 # 7

Methods used in the Paper


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