Efficient label-free pruning and retraining for Text-VQA Transformers
Recent advancements in Scene Text Visual Question Answering (Text-VQA) employ autoregressive Transformers, showing improved performance with larger models and pre -training datasets. Although various pruning frameworks exist to simplify Transformers, many are integrated into the time-consuming train...
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| Main Authors: | , , |
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| Format: | Article |
| Published: |
Elsevier
2024
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/45137/ https://doi.org/10.1016/j.patrec.2024.04.024 |
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