Yann LeCun Team’s Novel End-to-End Modulated Detector Captures Visual Concepts in Free-Form Text | Synced
A research team from NYU and Facebook proposes MDETR, an end-to-end modulated detector that identifies objects in images conditioned on a raw text query and is able to capture a long tail of visual...
Source: Synced | AI Technology & Industry Review
A research team from NYU and Facebook proposes MDETR, an end-to-end modulated detector that identifies objects in images conditioned on a raw text query and is able to capture a long tail of visual concepts expressed in free-form text.