Panoptic Narrative Grounding
Author:
Affiliation:
1. Universidad de los Andes,Center for Research and Formation in Artificial Intelligence,Colombia
2. Google Research,Switzerland
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9709627/9709628/09710546.pdf?arnumber=9710546
Reference53 articles.
1. Taking a HINT: Leveraging Explanations to Make Vision and Language Models More Grounded
2. Unambiguous scene text segmentation with referring expression comprehension;rong,2019
3. Dynamic multimodal instance segmentation guided by natural language queries;margffoy-tuay;ECCV,2018
4. Generation and Comprehension of Unambiguous Object Descriptions
5. Generation and comprehension of unambiguous object descriptions;mao,2015
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1. Context Does Matter: End-to-end Panoptic Narrative Grounding with Deformable Attention Refined Matching Network;2023 IEEE International Conference on Data Mining (ICDM);2023-12-01
2. Semi-Supervised Panoptic Narrative Grounding;Proceedings of the 31st ACM International Conference on Multimedia;2023-10-26
3. Betrayed by Captions: Joint Caption Grounding and Generation for Open Vocabulary Instance Segmentation;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01
4. Connecting Vision and Language with Video Localized Narratives;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR);2023-06
5. PiGLET: Pixel-level Grounding of Language Expressions with Transformers;IEEE Transactions on Pattern Analysis and Machine Intelligence;2023
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