Zero-Shot Classification
التصنيف بدون أمثلة
تصنيف المدخلات في فئات لم تُشاهَد أثناء التدريب، عادةً بمقارنة التضمينات بالأوصاف النصية للفئات.
Classifying inputs into categories not seen during training, typically by comparing embeddings against textual descriptions of the categories.
Also translated asالتصنيف الصفري، التصنيف بلا أمثلة تدريبية
First appears in this corpus in: ALIGN: Scaling Up Visual and Vision-Language Representation Learning with Noisy Text Supervision (2021)
Appears in these papers
- ALIGN: Scaling Up Visual and Vision-Language Representation Learning with Noisy Text Supervision2021in the sky ✦
- ALIGN: Scaling Up Visual and Vision-Language Representation Learning with Noisy Text Supervision2021in the sky ✦
- Learning Transferable Visual Models from Natural Language Supervision2021in the sky ✦
- Learning Transferable Visual Models from Natural Language Supervision2021in the sky ✦