Search Results for author: Aiming Hao

Found 2 papers, 2 papers with code

Self-Mutual Distillation Learning for Continuous Sign Language Recognition

1 code implementation ICCV 2021 Aiming Hao, Yuecong Min, Xilin Chen

Currently, a typical network combination for CSLR includes a visual module, which focuses on spatial and short-temporal information, followed by a contextual module, which focuses on long-temporal information, and the Connectionist Temporal Classification (CTC) loss is adopted to train the network.

Knowledge Distillation Sign Language Recognition

Visual Alignment Constraint for Continuous Sign Language Recognition

2 code implementations ICCV 2021 Yuecong Min, Aiming Hao, Xiujuan Chai, Xilin Chen

Specifically, the proposed VAC comprises two auxiliary losses: one focuses on visual features only, and the other enforces prediction alignment between the feature extractor and the alignment module.

Sign Language Recognition

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