Editing Visual Grounding (section)

== <span style="color: #FFFFFF;">Remembering</span> ==
* '''Visual grounding''' — Localizing image regions corresponding to natural language descriptions.
* '''Referring Expression Comprehension (REC)''' — Given an image and a referring expression ("the woman in the red dress on the left"), locate the described object.
* '''Phrase grounding''' — Linking each phrase in a caption to the corresponding image region.
* '''Visual Question Answering (VQA)''' — Answering questions about image content; often requires grounding attention to relevant regions.
* '''Region proposal''' — Generating candidate bounding boxes in an image; the first stage of many grounding pipelines.
* '''DETR (Detection Transformer)''' — An end-to-end object detection transformer; adapted for grounding in MDETR and others.
* '''MDETR''' — Modulated DETR: a joint vision-language model for end-to-end grounding.
* '''Grounding DINO''' — Open-vocabulary object detection and grounding using DINO + grounding pre-training.
* '''GLIP (Grounded Language-Image Pre-training)''' — Unifies detection and grounding pre-training for open-vocabulary detection.
* '''RefCOCO''' — A widely used referring expression dataset (120,000+ expressions for COCO images).
* '''Bounding box''' — A rectangle locating an object in an image; the primary output format for grounding.
* '''Region features''' — Visual features extracted from specific image regions (RoI pooling, RoI align) for multi-modal reasoning.
* '''Open-vocabulary detection''' — Detecting objects described by arbitrary text, not just a fixed set of training categories.
* '''SAM (Segment Anything Model)''' — Meta's foundation model for segmenting any object from a point, box, or text prompt.
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