With recent advancements in natural language processing, Large Language
...
Semantic segmentation usually suffers from a long-tail data distribution...
Most existing learning-based pose estimation methods are typically devel...
Self-supervised pre-training and transformer-based networks have
signifi...
Visual anomaly detection plays a crucial role in not only manufacturing
...
Unlike indirect methods that usually require time-consuming post-process...
Few prior 6D pose estimation methods use a backbone network to extract
f...
The essence of unsupervised anomaly detection is to learn the compact
di...