computer-vision-5
Phrase Extraction and Grounding (PEG)
3260 papers • 126 benchmarks • 313 datasets
PEG requires a model to extract phrases from text and locate objects from images simultaneously.
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Most implemented papers
DQ-DETR: Dual Query Detection Transformer for Phrase Extraction and Grounding
Hang Su, Siyi Liu, Hao Zhang, Feng Li, Yaoyuan Liang, Shijia Huang, Jun-Juan Zhu, Lei Zhang•Sun Nov 27 2022
This paper formulate PEG as a dual detection problem and proposes a novel DQ-DETR model, which introduces dual queries to probe different features from image and text for object prediction and phrase mask prediction and establishes new state-of-the-art results on all visual grounding benchmarks with a ResNet-101 backbone.
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