Wei Bao

A hypergraph relational distillation loss is introduced that imposes complementary intra- and cross-modal constraints, enabling the event encoder to inherit image-derived semantic organization while preserving local relational consistency and event-specific characteristics.

Bridging the performance gap between event-based and frame-based object detection, M^2C-EvDet leverages multi-domain knowledge distillation to enhance accuracy in complex environments.

Forget specialized counting models – Count Anything can now count *anything* you describe in an image, from cells to crops to cars, across diverse visual domains.