most citedFascinating Supervisory Signals and Where to Find Them: Deep Anomaly Detection with Scale Learning

6 citations · 15 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CV2023

FLAME-based Multi-View 3D Face Reconstruction

Wenzhuo Zheng, Junhao Zhao, Xiaohong Liu +4

At present, face 3D reconstruction has broad application prospects in various fields, but the research on it is still in the development stage. In this paper, we hope to achieve be…

cs.LG2023

RoSAS: Deep Semi-Supervised Anomaly Detection with Contamination-Resilient Continuous Supervision

Hongzuo Xu, Yijie Wang, Guansong Pang +3

Semi-supervised anomaly detection methods leverage a few anomaly examples to yield drastically improved performance compared to unsupervised models. However, they still suffer from…

cs.CV2023

Do-GOOD: Towards Distribution Shift Evaluation for Pre-Trained Visual Document Understanding Models

Jiabang He, Yi Hu, Lei Wang +4

Numerous pre-training techniques for visual document understanding (VDU) have recently shown substantial improvements in performance across a wide range of document tasks. However,…

cs.LG20236 cited

Fascinating Supervisory Signals and Where to Find Them: Deep Anomaly Detection with Scale Learning

Hongzuo Xu, Yijie Wang, Juhui Wei +3

Due to the unsupervised nature of anomaly detection, the key to fueling deep models is finding supervisory signals. Different from current reconstruction-guided generative models a…

math.QA2023

Q-Kostka polynomials and spin Green polynomials

Anguo Jiang, Naihuan Jing, Ning Liu

We study the -Kostka polynomials by the vertex operator realization of the -Hall-Littlewood functions and derive new formulae for . In parti…

cs.RO20231 cited

CMG-Net: An End-to-End Contact-Based Multi-Finger Dexterous Grasping Network

Mingze Wei, Yaomin Huang, Zhiyuan Xu +7

In this paper, we propose a novel representation for grasping using contacts between multi-finger robotic hands and objects to be manipulated. This representation significantly red…