Detecting Anomalies in Semantic Segmentation with Prototypes

1 June 2021

Papers citing "Detecting Anomalies in Semantic Segmentation with Prototypes"

6 / 6 papers shown

Title
Panoramic Out-of-Distribution Segmentation Mengfei Duan Kailun Yang Y. Zhang Yihong Cao Fei Teng Kai Luo Jiaming Zhang Zhiyong Li Shutao Li 56 0 0 06 May 2025
Feature Purified Transformer With Cross-level Feature Guiding Decoder For Multi-class OOD and Anomaly Deteciton Chun-Wei Lin Pi-Wei Chen Chao-Chun Chen OODD 29 0 0 30 Apr 2024
3DOS: Towards 3D Open Set Learning -- Benchmarking and Understanding Semantic Novelty Detection on Point Clouds A. Alliegro Francesco Cappio Borlino Tatiana Tommasi 3DPC 3DV 28 7 0 23 Jul 2022
FedDrive: Generalizing Federated Learning to Semantic Segmentation in Autonomous Driving Lidia Fantauzzo Eros Fani Debora Caldarola A. Tavera Fabio Cermelli Marco Ciccone Barbara Caputo FedML 19 52 0 28 Feb 2022
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 440 15,637 0 02 Nov 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 261 9,136 0 06 Jun 2015