3 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.CV2023★ 1 cited
Boosting Low-Data Instance Segmentation by Unsupervised Pre-training with Saliency Prompt
Hao Li, Dingwen Zhang, Nian Liu +5
Recently, inspired by DETR variants, query-based end-to-end instance segmentation (QEIS) methods have outperformed CNN-based models on large-scale datasets. Yet they would lose eff…
cs.CV2022
Teacher-Student Network for 3D Point Cloud Anomaly Detection with Few Normal Samples
Jianjian Qin, Chunzhi Gu, Jun Yu +1
Anomaly detection, which is a critical and popular topic in computer vision, aims to detect anomalous samples that are different from the normal (i.e., non-anomalous) ones. The cur…
cs.CV2022★ 3 cited
Self-Supervised Consistent Quantization for Fully Unsupervised Image Retrieval
Guile Wu, Chao Zhang, Stephan Liwicki
Unsupervised image retrieval aims to learn an efficient retrieval system without expensive data annotations, but most existing methods rely heavily on handcrafted feature descripto…