Dec 27, 2023 · In GMViT, the view-level ViT first establishes relationships between view-level features. Additionally, to capture deeper features, we employ ...

Dec 30, 2023 · Abstract—In recent years, the results of view-based 3D shape recognition methods have saturated, and models with excellent.

Dec 27, 2023 · Specifically, to enhance the capabilities of smaller models, we design a high-performing large model called Group Multi-view Vision Transformer ...

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Article "Group Multi-View Transformer for 3D Shape Analysis with Spatial Encoding" Detailed information of the J-GLOBAL is an information service managed by ...

This work proposes a Multi-view Vision Transformer (MVT) for 3D object recognition, and develops a global-local structure for the MVT that takes much less ...

Group Multi-View Transformer for 3D Shape Analysis with Spatial Encoding ... The large model GMViT achieves excellent 3D classification and retrieval results on ...

Spa-. tialDETR infers the classification and bounding box estimates based on attention both spatially within each image and across the different views. To fuse ...

It utilizes full-range attention for all tokens in the spatial-temporal dimension. To mitigate the difficulty to process massive information, DSTT [17] employs ...