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20212025
most citedFastFlow: Unsupervised Anomaly Detection and Localization via 2D Normalizing Flows

219 citations · 237 across the 8 of their papers we have counts for

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Showing 2022Show all

5 papers · 1 filter

cs.CV2022★ 2 cited

MIAD: A Maintenance Inspection Dataset for Unsupervised Anomaly Detection

Tianpeng Bao, Jiadong Chen, Wei Li +5

Visual anomaly detection plays a crucial role in not only manufacturing inspection to find defects of products during manufacturing processes, but also maintenance inspection to ke…

cs.CV2022

Geo6D: Geometric Constraints Learning for 6D Pose Estimation

Jianqiu Chen, Mingshan Sun, Ye Zheng +7

Numerous 6D pose estimation methods have been proposed that employ end-to-end regression to directly estimate the target pose parameters. Since the visible features of objects are…

cs.CV2022★ 1 cited

Uni6Dv2: Noise Elimination for 6D Pose Estimation

Mingshan Sun, Ye Zheng, Tianpeng Bao +5

Uni6D is the first 6D pose estimation approach to employ a unified backbone network to extract features from both RGB and depth images. We discover that the principal reasons of Un…

cs.CV2022★ 7 cited

Benchmarking Unsupervised Anomaly Detection and Localization

Ye Zheng, Xiang Wang, Yu Qi +2

Unsupervised anomaly detection and localization, as of one the most practical and challenging problems in computer vision, has received great attention in recent years. From the ti…

cs.CV2022★ 2 cited

Uni6D: A Unified CNN Framework without Projection Breakdown for 6D Pose Estimation

Xiaoke Jiang, Donghai Li, Hao Chen +3

As RGB-D sensors become more affordable, using RGB-D images to obtain high-accuracy 6D pose estimation results becomes a better option. State-of-the-art approaches typically use di…