Apr 13, 2024 · In this work, we overcome this limitation with self-supervised learning using a masked image modeling approach.

We propose a masked image modelling based self su- pervision methodology to detect anomalies in agricultural fields using UAV images. We demonstrate the ...

Masked Autoencoders (MAE) extract meaningful normal features from unlabeled image samples which produces high reconstruction error for the abnormal pixels ...

Sep 30, 2024 · Unsupervised Out-of-Distribution (OOD) detection consists in identifying anomalous regions in images leveraging only models trained on images of ...

Aug 17, 2024 · Label-free Anomaly Detection in Aerial Agricultural Images with Masked Image Modeling. Sambal Shikhar, and Anupam Sobti. IEEE/CVF Conference ...

Label-free Anomaly Detection in Aerial Agricultural Images with Masked Image Modeling · no code implementations • 13 Apr 2024 • Sambal Shikhar ...

Label-free Anomaly Detection in Aerial Agricultural Images with Masked Image Modeling. Sambal Shikhar,. Anupam Sobti. [pdf] [arXiv]. [bibtex]. @InProceedings ...

Improved Crop and Weed Detection with Diverse Data Ensemble Learning · Label-free Anomaly Detection in Aerial Agricultural Images with Masked Image Modeling.

Label-free Anomaly Detection in Aerial Agricultural Images with Masked Image Modeling. Sambal Shikhar, and Anupam Sobti. IEEE/CVF Conference on Computer ...