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Found 5 papers, 1 papers with code
Learned Fusion: 3D Object Detection using Calibration-Free Transformer Feature Fusion
The state of the art in 3D object detection using sensor fusion heavily relies on calibration quality, which is difficult to maintain in large scale deployment outside a lab environment.
Object Permanence in Object Detection Leveraging Temporal Priors at Inference Time
Humans understand this concept at young ages and know that another person is still there, even though it is temporarily occluded.
HPERL: 3D Human Pose Estimation from RGB and LiDAR
In-the-wild human pose estimation has a huge potential for various fields, ranging from animation and action recognition to intention recognition and prediction for autonomous driving.
LRPD: Long Range 3D Pedestrian Detection Leveraging Specific Strengths of LiDAR and RGB
The evaluation of our LRPD approach was done on the pedestrians from the KITTI benchmark.
Automated Focal Loss for Image based Object Detection
With automated focal loss we introduce a new loss function which substitutes this hyperparameter by a parameter that is automatically adapted during the training progress and controls the amount of focusing on hard training examples.
