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Found 5 papers, 0 papers with code
Multimodal Object Query Initialization for 3D Object Detection
In experiments, we outperform the state of the art in transformer-based LiDAR object detection on the competitive nuScenes benchmark and showcase the benefits of input-dependent multimodal query initialization, while being more efficient than the available alternatives for LiDAR-camera initialization.
Group Regression for Query Based Object Detection and Tracking
We show that the proposed method is applicable to many existing transformer based perception approaches and can bring potential benefits.
Can Transformer Attention Spread Give Insights Into Uncertainty of Detected and Tracked Objects?
Transformers have recently been utilized to perform object detection and tracking in the context of autonomous driving.
Transformers for Object Detection in Large Point Clouds
We present TransLPC, a novel detection model for large point clouds that is based on a transformer architecture.
Transformers for Multi-Object Tracking on Point Clouds
The model utilizes a cross- and a self-attention mechanism and is applicable to lidar data in an automotive context, as well as other data types, such as radar.
