A complementary-learning-inspired framework combining per-dataset GAN replay, interleaved training, and knowledge distillation improves memory retention and generalization for image de-raining over dataset streams.
Towards generalized uav object detection: A novel perspective from frequency domain disentanglement,
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Towards Better De-raining Generalization via Rainy Characteristics Memorization and Replay
A complementary-learning-inspired framework combining per-dataset GAN replay, interleaved training, and knowledge distillation improves memory retention and generalization for image de-raining over dataset streams.