AI Summary7 Jul 202622 Muharram 1448 AH
AI Summary
7 Jul 202622 Muharram 1448 AH
Ant Group's LingBot-Vision Claims 12 World Firsts: 1.1B Parameter Model Beats 7B DINOv3
Ant Group has launched LingBot-Depth 2.0, achieving 12 world-first results across benchmark datasets. This model utilizes the LingBot-Vision foundation model, the first spatial-native vision model designed for embodied AI, released as open source.
LingBot-Vision is trained for first-person spatial perception, embedding geometric understanding from the start. With approximately 1.1 billion parameters, it significantly outperforms DINOv3, which has 7 billion parameters, especially in depth estimation tasks.
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This summary is generated with AI and receives periodic editorial review. Refer to the original source for full details.
Ant Group's LingBot-Vision Claims 12 World Firsts: 1.1B Parameter Model Beats 7B DINOv3
Ant Group has launched LingBot-Depth 2.0, achieving 12 world-first results across benchmark datasets. This model utilizes the LingBot-Vision foundation model, the first spatial-native vision model designed for embodied AI, released as open source.
LingBot-Vision is trained for first-person spatial perception, embedding geometric understanding from the start. With approximately 1.1 billion parameters, it significantly outperforms DINOv3, which has 7 billion parameters, especially in depth estimation tasks.
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This summary is generated with AI and receives periodic editorial review. Refer to the original source for full details.
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