Abstract: Highlights•A single descriptor may produce inconsistent or biased results on different data.•Learning multiple descriptors and fuse them could enrich complementary information.•A novel orthogonality loss is proposed to reduce information overlap.•Our orthogonal feature extraction module can be easily plugged into other networks.
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