3 papers
cs.CV2025
Beyond Overall Accuracy: Pose- and Occlusion-driven Fairness Analysis in Pedestrian Detection for Autonomous Driving
Mohammad Khoshkdahan, Arman Akbari, Arash Akbari +1
Pedestrian detection plays a critical role in autonomous driving (AD), where ensuring safety and reliability is important. While many detection models aim to reduce miss-rates and…
cs.CV2024
CONSULT: Contrastive Self-Supervised Learning for Few-shot Tumor Detection
Sin Chee Chin, Xuan Zhang, Lee Yeong Khang +1
Artificial intelligence aids in brain tumor detection via MRI scans, enhancing the accuracy and reducing the workload of medical professionals. However, in scenarios with extremely…
cs.CV2024
RICASSO: Reinforced Imbalance Learning with Class-Aware Self-Supervised Outliers Exposure
Xuan Zhang, Sin Chee Chin, Tingxuan Gao +1
In real-world scenarios, deep learning models often face challenges from both imbalanced (long-tailed) and out-of-distribution (OOD) data. However, existing joint methods rely on r…