Summary of Deep Models For Multi-view 3d Object Recognition: a Review, by Mona Alzahrani et al.
Deep Models for Multi-View 3D Object Recognition: A Review
by Mona Alzahrani, Muhammad Usman, Salma Kammoun, Saeed Anwar, Tarek Helmy
First submitted to arxiv on: 23 Apr 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper reviews recent advances in multi-view 3D object recognition techniques for 3D classification and retrieval tasks. It focuses on deep learning-based and transformer-based approaches, which have achieved state-of-the-art performance. The review covers various aspects, including 3D datasets, camera configurations, view selection strategies, pre-trained CNN architectures, fusion strategies, and recognition performance on 3D classification and 3D retrieval tasks. The paper also explores computer vision applications that utilize multi-view classification. By analyzing the strengths and limitations of existing models, this review aims to provide a comprehensive understanding of the field and identify future research directions. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper looks at how computers can recognize objects from different viewpoints. Right now, most object recognition systems rely on just one image, which isn’t always enough for making accurate decisions. To improve accuracy, researchers have been exploring ways to use multiple views of an object to make decisions. This review looks at the latest developments in this area, focusing on deep learning and transformer-based techniques that have achieved great results. The paper covers topics like the data used, how images are taken, and how computers combine different views to make decisions. It also explores real-world applications where using multiple views can be useful. |
Keywords
» Artificial intelligence » Classification » Cnn » Deep learning » Transformer
