Simon Ravé

Classification tasks in wheat phenotyping can leverage token merging for significant efficiency gains, but detection and segmentation reveal hidden complexities that challenge this approach.

Achieve up to 20% higher throughput on H100 GPUs for semantic segmentation by simply merging mutually similar tokens in ViTs *without* retraining.