TDDN: Text-aligned Diffused DINO Network for Puzzle Understanding
This work fuse DINOv3 and CleanDIFT representations into a perception encoder and align it with RoBERTa-L, yielding a text-aligned model TDDN that preserves this perceptual advantage and leads on segmentation benchmarks among general-purpose contrastive encoders, including SigLIP.
Harsha Patnala, Debopriyo Banerjee, A. Munot et al.
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