858 citations
- The University of AdelaideAU53 papers
- The University of SydneyAU40 papers
- Australian National UniversityAU38 papers
- Queensland University of TechnologyAU28 papers
- Data61AU14 papers
- Monash UniversityAU10 papers
- University of Technology SydneyAU9 papers
- Commonwealth Scientific and Industrial Research OrganisationAU7 papers
- Northwestern Polytechnical UniversityCN7 papers
- Centre National de la Recherche ScientifiqueFR5 papers
- The University of QueenslandAU4 papers
- Vision AustraliaAU4 papers
4 papers · 2 filters
MS3D++: Ensemble of Experts for Multi-Source Unsupervised Domain Adaptation in 3D Object Detection
Darren Tsai, Julie Stephany Berrio, Mao Shan +2
Deploying 3D detectors in unfamiliar domains has been demonstrated to result in a significant 70-90% drop in detection rate due to variations in lidar, geography, or weather from t…
Instance-dependent Noisy-label Learning with Graphical Model Based Noise-rate Estimation
Arpit Garg, Cuong Nguyen, Rafael Felix +2
Deep learning faces a formidable challenge when handling noisy labels, as models tend to overfit samples affected by label noise. This challenge is further compounded by the presen…
Visual Place Recognition: A Tutorial
Stefan Schubert, Peer Neubert, Sourav Garg +2
Localization is an essential capability for mobile robots. A rapidly growing field of research in this area is Visual Place Recognition (VPR), which is the ability to recognize pre…
Predicting Class Distribution Shift for Reliable Domain Adaptive Object Detection
Nicolas Harvey Chapman, Feras Dayoub, Will Browne +1
Unsupervised Domain Adaptive Object Detection (UDA-OD) uses unlabelled data to improve the reliability of robotic vision systems in open-world environments. Previous approaches to…