2 papers
cs.CV2024
ToCoAD: Two-Stage Contrastive Learning for Industrial Anomaly Detection
Yun Liang, Zhiguang Hu, Junjie Huang +3
Current unsupervised anomaly detection approaches perform well on public datasets but struggle with specific anomaly types due to the domain gap between pre-trained feature extract…
cs.SD2024
AAT: Adapting Audio Transformer for Various Acoustics Recognition Tasks
Yun Liang, Hai Lin, Shaojian Qiu +1
Recently, Transformers have been introduced into the field of acoustics recognition. They are pre-trained on large-scale datasets using methods such as supervised learning and semi…