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Radar Object Detection
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The radar object detection (ROD) task aims to classify and localize the objects in 3D purely from radar's radio frequency (RF) images.
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SpikingRTNH: Spiking Neural Network for 4D Radar Object Detection
TransRAD: Retentive Vision Transformer for Enhanced Radar Object Detection
Mask-RadarNet: Enhancing Transformer With Spatial-Temporal Semantic Context for Radar Object Detection in Autonomous Driving
SCKD: Semi-Supervised Cross-Modality Knowledge Distillation for 4D Radar Object Detection
DSFEC: Efficient and Deployable Deep Radar Object Detection
MUFASA: Multi-View Fusion and Adaptation Network with Spatial Awareness for Radar Object Detection
RadSimReal: Bridging the Gap Between Synthetic and Real Data in Radar Object Detection With Simulation
CRKD: Enhanced Camera-Radar Object Detection with Cross-modality Knowledge Distillation
Leveraging Self-Supervised Instance Contrastive Learning for Radar Object Detection
MVFAN: Multi-View Feature Assisted Network for 4D Radar Object Detection
RTNH+: Enhanced 4D Radar Object Detection Network using Combined CFAR-based Two-level Preprocessing and Vertical Encoding
Exploiting Sparsity in Automotive Radar Object Detection Networks
Improved Multi-Scale Grid Rendering of Point Clouds for Radar Object Detection Networks
RadarFormer: Lightweight and Accurate Real-Time Radar Object Detection Model
T-FFTRadNet: Object Detection with Swin Vision Transformers from Raw ADC Radar Signals
A recurrent CNN for online object detection on raw radar frames
DAROD: A Deep Automotive Radar Object Detector on Range-Doppler maps
Self-Supervised Velocity Estimation for Automotive Radar Object Detection Networks
K-Radar: 4D Radar Object Detection for Autonomous Driving in Various Weather Conditions
Improved Orientation Estimation and Detection with Hybrid Object Detection Networks for Automotive Radar
Automated Gain Control Through Deep Reinforcement Learning for Downstream Radar Object Detection
Scene-aware Learning Network for Radar Object Detection
Rethinking of Radar's Role: A Camera-Radar Dataset and Systematic Annotator via Coordinate Alignment
RADDet: Range-Azimuth-Doppler based Radar Object Detection for Dynamic Road Users
RODNet: A Real-Time Radar Object Detection Network Cross-Supervised by Camera-Radar Fused Object 3D Localization
Off-the-shelf sensor vs. experimental radar -- How much resolution is necessary in automotive radar classification?
Probabilistic Oriented Object Detection in Automotive Radar
RODNet: Radar Object Detection Using Cross-Modal Supervision
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