2 papers
cs.CV2026
TinyFormer: Preserving Tiny Objects in YOLO-DETR Hybrid Real-time Detectors
Jun-Wei Hsieh, Meng-Yu Kao, Ghufron Wahyu Kurniawan +1
YOLO-series and DETR-based detectors struggle with tiny-object detection. YOLO-style models benefit from efficient dense prediction, but their large-stride backbones may suppress t…
cs.CV2025
PF3Det: A Prompted Foundation Feature Assisted Visual LiDAR 3D Detector
Kaidong Li, Tianxiao Zhang, Kuan-Chuan Peng +1
3D object detection is crucial for autonomous driving, leveraging both LiDAR point clouds for precise depth information and camera images for rich semantic information. Therefore,…