You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Rationale: introduce a "true" zero-shot eval into the benchmark, based on attribute-based zero-shot task.
The task is harder, as in contrast to standard zero-shot transfer used currently for CLIP eval, it requires to deal with new classes which were never presented during pre-training by describing any entity to be recognized by a set of attributes (eg sandy yellowish, furry, four legged, fast, strong) instead of using a class label (eg lion). For more details, see https://arxiv.org/abs/2209.06103
https://arxiv.org/abs/2209.06103
The text was updated successfully, but these errors were encountered: