4 papers · 1 filter
Conditional Compatibility Learning for Context-Dependent Anomaly Detection
Shashank Mishra, Didier Stricker, Jason Rambach
Anomaly detection usually assumes that abnormality is an intrinsic property of an observation. A defect is a defect, and a rare object is rare, regardless of where it appears. Many…
PanoSAMic: Panoramic Image Segmentation from SAM Feature Encoding and Dual View Fusion
Mahdi Chamseddine, Didier Stricker, Jason Rambach
Existing image foundation models are not optimized for spherical images having been trained primarily on perspective images. PanoSAMic integrates the pre-trained Segment Anything (…
DriverGaze360: OmniDirectional Driver Attention with Object-Level Guidance
Shreedhar Govil, Didier Stricker, Jason Rambach
Predicting driver attention is a critical problem for developing explainable autonomous driving systems and understanding driver behavior in mixed human-autonomous vehicle traffic…
IMKD: Intensity-Aware Multi-Level Knowledge Distillation for Camera-Radar Fusion
Shashank Mishra, Karan Patil, Didier Stricker +1
High-performance Radar-Camera 3D object detection can be achieved by leveraging knowledge distillation without using LiDAR at inference time. However, existing distillation methods…