Finetuning VLMs on perception tasks produces positive and negative transfers that can be mapped with a new normalized metric called Perfection Gap Factor across 13 tasks and three models.
Hpatches: A benchmark and evaluation of hand- crafted and learned local descriptors
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Understanding Task Transfer in Vision-Language Models
Finetuning VLMs on perception tasks produces positive and negative transfers that can be mapped with a new normalized metric called Perfection Gap Factor across 13 tasks and three models.