HQD-EM: Robust VQA Through Hierarchical Question Decomposition Bias Module and Ensemble Adaptive Angular Margin Loss
Recent studies in Visual Question Answering (VQA) have revealed that models often rely heavily on language priors rather than vision–language understanding, leading to poor generalization under distribution shifts. To address this challenge, we propose HQD-EM, a unified debiasing framework that comb...
I tiakina i:
| Ngā kaituhi matua: | , |
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| Hōputu: | Artigo |
| Reo: | Inglês |
| I whakaputaina: |
MDPI AG
2025-11-01
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| Rangatū: | Mathematics |
| Ngā marau: | |
| Urunga tuihono: | https://www.mdpi.com/2227-7390/13/22/3656 |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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