PI-H2T fuses permutation-invariant features into the representation and interpolates head-class features into tail-class features during classifier retraining, improving long-tailed recognition accuracy on four benchmarks.
Learning deep representation for imbalanced classification,
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PI-H2T: Enhancing Long-Tailed Visual Recognition with Permutation-Invariant and Head-to-Tail Feature Fusion
PI-H2T fuses permutation-invariant features into the representation and interpolates head-class features into tail-class features during classifier retraining, improving long-tailed recognition accuracy on four benchmarks.