DETR-based methods, which use multi-layer transformer decoders to refine object queries iteratively, have shown promising performance in 3D indoor object detection. However, the scene point features ...
The proposed Coordinate-Aware Feature Excitation (CAFE) module and Position-Aware Upsampling (Pos-Up) module both adhere to ...
Abstract: 3D object detection from LiDAR data for autonomous driving has been making remarkable strides in recent years. Among the state-of-the-art methodologies, encoding point clouds into a bird's ...
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Greenland's only US military base is (quietly) getting a massive upgrade This North Korean movie shows things audiences have never seen before The landscape beneath Antarctica's icy surface revealed ...
This is the official PyTorch implementation of the paper DDet3D: Embracing 3D Object Detector with Diffusion, by Gopi Krishna Erabati and Helder Araujo. Existing approaches rely on heuristic or ...
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Max Power achieved in Roblox Infinity Power Simulator. Trump’s golf course takeover sparks outrage Brigitte Bardot’s death shrinks Billy Joel’s 'We Didn’t Start the Fire' list to just 3 living names ...
Abstract: Object detection is crucial for ensuring safe autonomous driving. However, data-driven approaches face challenges when encountering minority or novel objects in the 3D driving scene. In this ...
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