SOTAVerified

Phrase Grounding

Given an image and a corresponding caption, the Phrase Grounding task aims to ground each entity mentioned by a noun phrase in the caption to a region in the image.

Source: Phrase Grounding by Soft-Label Chain Conditional Random Field

Papers

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Showing 1–10 of 88 papers

TitleStatusHype
Anatomy-Grounded Weakly Supervised Prompt Tuning for Chest X-ray Latent Diffusion Models—0
Disambiguating Reference in Visually Grounded Dialogues through Joint Modeling of Textual and Multimodal Semantic StructuresCode0
A Comparison of Object Detection and Phrase Grounding Models in Chest X-ray Abnormality Localization using Eye-tracking Data—0
Progressive Local Alignment for Medical Multimodal Pre-training—0
Anatomical grounding pre-training for medical phrase groundingCode0
VICCA: Visual Interpretation and Comprehension of Chest X-ray Anomalies in Generated Report Without Human FeedbackCode0
Contextual Self-paced Learning for Weakly Supervised Spatio-Temporal Video Grounding—0
Hierarchical Alignment-enhanced Adaptive Grounding Network for Generalized Referring Expression Comprehension—0
Towards Visual Grounding: A SurveyCode3
ViCaS: A Dataset for Combining Holistic and Pixel-level Video Understanding using Captions with Grounded Segmentation—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fiber-BR@187.1—Unverified
2PEVLR@184.1—Unverified
3VisualBERTR@170.4—Unverified