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Found 5 papers, 2 papers with code
InteractionNet: Joint Planning and Prediction for Autonomous Driving with Transformers
Planning and prediction are two important modules of autonomous driving and have experienced tremendous advancement recently.
Ranked #9 on
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Complementing Onboard Sensors with Satellite Map: A New Perspective for HD Map Construction
To enable better integration of satellite maps with existing methods, we propose a hierarchical fusion module, which includes feature-level fusion and BEV-level fusion.
MLF-DET: Multi-Level Fusion for Cross-Modal 3D Object Detection
In this paper, we propose a novel and effective Multi-Level Fusion network, named as MLF-DET, for high-performance cross-modal 3D object DETection, which integrates both the feature-level fusion and decision-level fusion to fully utilize the information in the image.
StructVPR: Distill Structural Knowledge with Weighting Samples for Visual Place Recognition
In this paper, we propose StructVPR, a novel training architecture for VPR, to enhance structural knowledge in RGB global features and thus improve feature stability in a constantly changing environment.
TransVPR: Transformer-based place recognition with multi-level attention aggregation
In addition, the output tokens from Transformer layers filtered by the fused attention mask are considered as key-patch descriptors, which are used to perform spatial matching to re-rank the candidates retrieved by the global image features.
