They call it a “world model”, an essential tool to help AI systems make sense of the complex, unpredictable physical spaces ...
They call it a “world model”, an essential tool to help AI systems make sense of the complex, unpredictable physical spaces into which many will eventually be put to work. The company argues that a ...
Abstract: The CA-YOLO (Coordinate Attention-YOLO) model has been optimized for object detection in complex remote sensing images, addressing key issues faced by algorithms that detect multiple objects ...
DifFUSER: Diffusion Model for Robust Multi-Sensor Fusion in 3D Object Detection and BEV Segmentation
[2024/12] Code release: Inferece, Diffusion sampling, Pretrained model. [2024/10] DifFUSER is presented at ECCV 2024. [2024/07] DifFUSER is accepted by ECCV 2024. This repository contains the official ...
Abstract: In the dynamic field of remote sensing images (RSIs), the challenge of object scale variability and sensor resolution disparities is formidable. Addressing these complexities, we have ...
SAM 3D Objects is a foundation model that reconstructs full 3D shape geometry, texture, and layout from a single image, excelling in real-world scenarios with occlusion and clutter by using ...
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