Papers by Chang Hao Lai
Selective Contrastive Learning For Gloss Free Sign Language Translation (2026.acl-long)
Copied to clipboard
| Challenge: | Recent SLT systems adopt CLIP-like Vision-Language pretraining, but the random in-batch contrast provides few, batch-dependent negatives. |
| Approach: | They propose a method to train sign video-text similarity over a time period of 3 months . they use a random in-batch contrast strategy to track negative video- text similarity . |
| Outcome: | The proposed system improves sign language translation by focusing on challenging negatives . the results show that the random in-batch contrast provides few negatives and noisy supervision . |