Recursive ViT with dynamic depth/width adjustments reduces parameters by 48.7% and improves reconstruction quality versus baselines in semantic image communication.
Learning motion blur robust Vision Transformers with dynamic early exit for real-time UA V tracking,
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Recursive Vision Transformer with Dynamic Depth and Width Adjustment for Resource-Efficient Image Semantic Communication
Recursive ViT with dynamic depth/width adjustments reduces parameters by 48.7% and improves reconstruction quality versus baselines in semantic image communication.