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D3Net.pdf

2112.01551.pdf

🔗 Source: arxiv.org

📊 Size: 9.48 MB

📄 Pages: 27 pages

⬇️ Downloads: 41

Summary

D3Net is a unified speaker-listener architecture for 3D dense captioning and visual grounding, enabling detection, description, and discrimination of objects in 3D environments. It addresses overfitting issues and generates discriminative object captions through a self-critical approach, allowing for semi-supervised training on partially annotated data. D3Net outperforms state-of-the-art methods in both tasks on the ScanRefer dataset.

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Description

D3Net is a unified speaker-listener architecture for 3D dense captioning and visual grounding, enabling detection, description, and discrimination of objects...

Technical Information

File Format: PDF
File Size: 9.48 MB
Pages: 27
Language: EN
Total Downloads: 41
Last Updated: 1 month ago

Document Overview

This PDF document about D3Net provides comprehensive information and guidance. Whether you're a beginner or advanced user, this resource offers valuable insights into D3Net.