Unverified50% confidenceFactExact time
Text-conditioned point localization is a point-level variant of visual grounding that requires the model to output a set of coordinate points of the target object rather than a bounding box, testing fine-grained spatial perception, character segmentation and sequence generation simultaneously.
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50%
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Long-term
Relevance
10/30/2026
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Related Claims
UnverifiedVisual grounding requires a model not only to recognize image content but also to output the position coordinates of objects.78% similarUnverifiedThe textual-coordinate route (such as giving timestamps or region coordinates) provides only symbolic location markers and does not carry the visual content itself; the model knows where to look but does not necessarily actually see anything.74% similarUnverifiedVisual grounding is usually divided academically into several levels: Referring Expression Comprehension requires the model to locate a single target based on one sentence; Phrase Grounding requires splitting the sentence into multiple phrases and mapping each to an image region; Dense Grounding requires giving a bounding box and label for as many objects in the image as possible, one by one.70% similarUnverifiedThe output of an object detection model usually contains three elements: label, bounding box, and confidence score; the core difference from image classification is that object detection also needs to locate the object's specific position in the image.70% similarUnverifiedVisual grounding refers to the process by which a model maps referring expressions in natural language to specific pixel regions in an image.70% similar
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