🌐 Multilingual & Translation

📹 ICCV2025 · 1 paper notes

SignRep: Enhancing Self-Supervised Sign Representations

This paper proposes SignRep, a scalable self-supervised sign language representation learning framework that incorporates sign-specific skeleton priors, feature regularization, and an adversarial style-invariant loss into Masked Autoencoder pretraining. Using only a single RGB modality, SignRep surpasses complex multi-modal and multi-branch methods, achieving state-of-the-art performance on three tasks: sign language recognition, dictionary retrieval, and sign language translation.