SeMAnD: Self-Supervised Anomaly Detection in Multimodal Geospatial Datasets

26 September 2023

Papers citing "SeMAnD: Self-Supervised Anomaly Detection in Multimodal Geospatial Datasets"

7 / 7 papers shown

Title
Anomaly Detection Requires Better Representations Tal Reiss Niv Cohen Eliahu Horwitz Ron Abutbul Yedid Hoshen OOD AI4TS SSL 39 21 0 19 Oct 2022
Scalable Self-Supervised Representation Learning from Spatiotemporal Motion Trajectories for Multimodal Computer Vision Swetava Ganguli C. V. K. Iyer Vipul Pandey SSL 10 5 0 07 Oct 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 258 7,337 0 11 Nov 2021
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 168 870 0 21 Oct 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 283 5,723 0 29 Apr 2021
VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text Hassan Akbari Liangzhe Yuan Rui Qian Wei-Hong Chuang Shih-Fu Chang Yin Cui Boqing Gong ViT 231 573 0 22 Apr 2021
VAE-Info-cGAN: Generating Synthetic Images by Combining Pixel-level and Feature-level Geospatial Conditional Inputs Xuerong Xiao Swetava Ganguli Vipul Pandey GAN 13 11 0 08 Dec 2020