A Foundation Model for SAR Target Recognition
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Updated
Oct 24, 2025 - Jupyter Notebook
A Foundation Model for SAR Target Recognition
A large-scale fine-grained SAR vehicle dataset and benchmark
Self-Supervised Learning for SAR ATR with a Joint-Embedding Predictive Architecture
PyTorch implementation of Target Classification Using the Deep Convolutional Networks for SAR Images
A brief introduction to the SAR ATR dataset from the 1990s to the 2020s
RL Face Tracking
Our solution to the CVPR PBVS Workshop MAVOC 2022 challenge on the NTIRE dataset using cross-domain domain-adaptation and ensemble method.
SARATR-X pretraining pipeline implemented on Pytorch Lightning framework.
Towards Fully Synthetic Training: Exploring Data Augmentations for Synthetic-to-Measured SAR in Automatic Target Recognition
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