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Found 4 papers, 1 papers with code
FipTR: A Simple yet Effective Transformer Framework for Future Instance Prediction in Autonomous Driving
The future instance prediction from a Bird's Eye View(BEV) perspective is a vital component in autonomous driving, which involves future instance segmentation and instance motion prediction.
Cluster-aware Contrastive Learning for Unsupervised Out-of-distribution Detection
Based on the classic contrastive learning, we propose Cluster-aware Contrastive Learning (CCL) framework for unsupervised OOD detection, which considers both instance-level and semantic-level information.
Constrained Adaptive Projection with Pretrained Features for Anomaly Detection
Anomaly detection aims to separate anomalies from normal samples, and the pretrained network is promising for anomaly detection.
Ranked #8 on
Anomaly Detection
on One-class CIFAR-10
Deep Metric Learning Model for Imbalanced Fault Diagnosis
The reasonable combination of quadruplet loss and softmax loss function can reduce the impact of imbalance.
