Abstract: Highlights•A novel Hierarchical Optimal Transport Network with Attention (HOTA) for CD-FSL.•HOTA captures geometric structures at domain/feature/sample levels.•HOTA maintains discrimination and transferability during domain alignment.•Our method gets superior results in diverse benchmarks (supervised, unsupervised).
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