Summary of Transfer Learning with Generative Models For Object Detection on Limited Datasets, by Matteo Paiano et al.
Transfer learning with generative models for object detection on limited datasetsby Matteo Paiano, Stefano Martina,…
Transfer learning with generative models for object detection on limited datasetsby Matteo Paiano, Stefano Martina,…
Breaking Data Silos: Cross-Domain Learning for Multi-Agent Perception from Independent Private Sourcesby Jinlong Li, Baolu…
HASSOD: Hierarchical Adaptive Self-Supervised Object Detectionby Shengcao Cao, Dhiraj Joshi, Liang-Yan Gui, Yu-Xiong WangFirst submitted…
Cross-Domain Few-Shot Object Detection via Enhanced Open-Set Object Detectorby Yuqian Fu, Yu Wang, Yixuan Pan,…
A Safety-Adapted Loss for Pedestrian Detection in Automated Drivingby Maria Lyssenko, Piyush Pimplikar, Maarten Bieshaar,…
Improving Robustness of LiDAR-Camera Fusion Model against Weather Corruption from Fusion Strategy Perspectiveby Yihao Huang,…
Spatio-temporal Prompting Network for Robust Video Feature Extractionby Guanxiong Sun, Chi Wang, Zhaoyu Zhang, Jiankang…
Spiking CenterNet: A Distillation-boosted Spiking Neural Network for Object Detectionby Lennard Bodden, Franziska Schwaiger, Duc…
A Survey for Foundation Models in Autonomous Drivingby Haoxiang Gao, Zhongruo Wang, Yaqian Li, Kaiwen…
A Manifold Representation of the Key in Vision Transformersby Li Meng, Morten Goodwin, Anis Yazidi,…