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Learning to Generate Text-Grounded Mask for Open-World Semantic Segmentation from Only Image-Text Pairs

  • Published:2023-06 Issue: Volume: Page:
  • ISSN:
  • Container-title:2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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Author:

Cha Junbum1,Mun Jonghwan1,Roh Byungseok1

Affiliation:

1. Kakao Brain

Publisher

IEEE

Reference33 articles.

1. CLIPScore: A Reference-free Evaluation Metric for Image Captioning

2. Open-vocabulary object detection via vision and language knowledge distillation;gu;ICLRE,0

3. MDETR - Modulated Detection for End-to-End Multi-Modal Understanding

4. Categorical reparameterization with gumbel-softmax;jang;International Conference on Learning Representations,0

5. RegionCLIP: Region-based Language-Image Pretraining

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1. Towards Training-Free Open-World Segmentation via Image Prompt Foundation Models;International Journal of Computer Vision;2024-07-16

2. Multi-modal Prototypes for Open-World Semantic Segmentation;International Journal of Computer Vision;2024-07-12

3. Towards Open Vocabulary Learning: A Survey;IEEE Transactions on Pattern Analysis and Machine Intelligence;2024-07

4. FOSSIL: Free Open-Vocabulary Semantic Segmentation through Synthetic References Retrieval;2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV);2024-01-03

5. What’s Outside the Intersection? Fine-grained Error Analysis for Semantic Segmentation Beyond IoU;2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV);2024-01-03
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