Researchers developed a bird's-eye-view architecture combining collaborative distillation and multi-domain attention to ...
A transformer-based middle-fusion framework called T-3MS Fusion achieves 74.9% NDS and 72.8% mAP on nuScenes 3D object ...
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Robots and autonomous vehicles can use 3D point clouds from LiDAR sensors and camera images to perform 3D object detection. However, current techniques that combine both types of data struggle to ...
Members of the Google Brain team and Google AI this week open-sourced EfficientDet, an AI tool that achieves state-of-the-art object detection while using less compute. Creators of the system say it ...
Co-Salient Object Detection (CoSOD) aims at detecting common salient objects within a group of relevant source images. Most of the latest works employ the attention mechanism for finding common ...
Engineering samples are planned for fiscal 2026 as NTT targets road and airport monitoring with event-triggered vision-language analysis.
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