Out-of-Distribution (OOD) detection separates ID (In-Distribution) data and OOD data from
input data through a model. This problem has attracted increasing attention in the area of …

Real-world medical image segmentation has tremendous long-tailed complexity of objects,
among which tail conditions correlate with relatively rare diseases and are clinically …

Class-incremental learning (CIL) has achieved remarkable successes in learning new
classes consecutively while overcoming catastrophic forgetting on old categories. However …

In this paper, we propose a novel channel pruning method to reduce the computational and
storage costs of Convolutional Neural Networks (CNNs). Many existing one-shot pruning …