Matches in SemOpenAlex for { <https://semopenalex.org/work/W4214825151> ?p ?o ?g. }
- W4214825151 endingPage "23" @default.
- W4214825151 startingPage "1" @default.
- W4214825151 abstract "Recently, many Visual Question Answering (VQA) models rely on the correlations between questions and answers yet neglect those between the visual information and the textual information. They would perform badly if the handled data distribute differently from the training data (i.e., out-of-distribution (OOD) data). Towards this end, we propose a two-stage unbiased VQA approach that addresses the unbiased issue from a causal perspective. In the causal inference stage, we mark the spurious correlation on the causal graph, explore the counterfactual causality, and devise a causal target based on the inherent correlations between the conventional and counterfactual VQA models. In the distillation stage, we introduce the causal target into the training process and leverages distilling as well as curriculum learning to capture the unbiased model. Since Causal Inference with Knowledge Distilling and Curriculum Learning (CKCL) reinforces the contribution of the visual information and eliminates the impact of the spurious correlation by distilling the knowledge in causal inference to the VQA model, it contributes to the good performance on both the standard data and out-of-distribution data. The extensive experimental results on VQA-CP v2 dataset demonstrate the superior performance of the proposed method compared to the state-of-the-art (SotA) methods." @default.
- W4214825151 created "2022-03-05" @default.
- W4214825151 creator A5009173399 @default.
- W4214825151 creator A5017096005 @default.
- W4214825151 creator A5032751833 @default.
- W4214825151 creator A5035112538 @default.
- W4214825151 date "2022-03-04" @default.
- W4214825151 modified "2023-10-13" @default.
- W4214825151 title "Causal Inference with Knowledge Distilling and Curriculum Learning for Unbiased VQA" @default.
- W4214825151 cites W1933349210 @default.
- W4214825151 cites W2031342017 @default.
- W4214825151 cites W2116064496 @default.
- W4214825151 cites W2250539671 @default.
- W4214825151 cites W2296073425 @default.
- W4214825151 cites W2560730294 @default.
- W4214825151 cites W2561715562 @default.
- W4214825151 cites W2739879705 @default.
- W4214825151 cites W2745461083 @default.
- W4214825151 cites W2747623286 @default.
- W4214825151 cites W2947312908 @default.
- W4214825151 cites W2963115613 @default.
- W4214825151 cites W2963140444 @default.
- W4214825151 cites W2963351448 @default.
- W4214825151 cites W2963644680 @default.
- W4214825151 cites W2963800628 @default.
- W4214825151 cites W2964072591 @default.
- W4214825151 cites W2964303913 @default.
- W4214825151 cites W2966683369 @default.
- W4214825151 cites W2970019270 @default.
- W4214825151 cites W2970231061 @default.
- W4214825151 cites W2981963155 @default.
- W4214825151 cites W2982699810 @default.
- W4214825151 cites W2998544007 @default.
- W4214825151 cites W3005193778 @default.
- W4214825151 cites W3025665229 @default.
- W4214825151 cites W3035017890 @default.
- W4214825151 cites W3035145964 @default.
- W4214825151 cites W3035497460 @default.
- W4214825151 cites W3035512383 @default.
- W4214825151 cites W3035517717 @default.
- W4214825151 cites W3035651653 @default.
- W4214825151 cites W3087975588 @default.
- W4214825151 cites W3092767330 @default.
- W4214825151 cites W3096831136 @default.
- W4214825151 cites W3104788521 @default.
- W4214825151 cites W3106544837 @default.
- W4214825151 cites W3110575265 @default.
- W4214825151 cites W3161559655 @default.
- W4214825151 cites W3177934633 @default.
- W4214825151 cites W3202822534 @default.
- W4214825151 cites W639708223 @default.
- W4214825151 doi "https://doi.org/10.1145/3487042" @default.
- W4214825151 hasPublicationYear "2022" @default.
- W4214825151 type Work @default.
- W4214825151 citedByCount "5" @default.
- W4214825151 countsByYear W42148251512022 @default.
- W4214825151 countsByYear W42148251512023 @default.
- W4214825151 crossrefType "journal-article" @default.
- W4214825151 hasAuthorship W4214825151A5009173399 @default.
- W4214825151 hasAuthorship W4214825151A5017096005 @default.
- W4214825151 hasAuthorship W4214825151A5032751833 @default.
- W4214825151 hasAuthorship W4214825151A5035112538 @default.
- W4214825151 hasConcept C105795698 @default.
- W4214825151 hasConcept C108650721 @default.
- W4214825151 hasConcept C11671645 @default.
- W4214825151 hasConcept C119857082 @default.
- W4214825151 hasConcept C121332964 @default.
- W4214825151 hasConcept C124101348 @default.
- W4214825151 hasConcept C149782125 @default.
- W4214825151 hasConcept C154945302 @default.
- W4214825151 hasConcept C15744967 @default.
- W4214825151 hasConcept C158600405 @default.
- W4214825151 hasConcept C2776214188 @default.
- W4214825151 hasConcept C33923547 @default.
- W4214825151 hasConcept C41008148 @default.
- W4214825151 hasConcept C62520636 @default.
- W4214825151 hasConcept C64357122 @default.
- W4214825151 hasConcept C77805123 @default.
- W4214825151 hasConcept C97256817 @default.
- W4214825151 hasConceptScore W4214825151C105795698 @default.
- W4214825151 hasConceptScore W4214825151C108650721 @default.
- W4214825151 hasConceptScore W4214825151C11671645 @default.
- W4214825151 hasConceptScore W4214825151C119857082 @default.
- W4214825151 hasConceptScore W4214825151C121332964 @default.
- W4214825151 hasConceptScore W4214825151C124101348 @default.
- W4214825151 hasConceptScore W4214825151C149782125 @default.
- W4214825151 hasConceptScore W4214825151C154945302 @default.
- W4214825151 hasConceptScore W4214825151C15744967 @default.
- W4214825151 hasConceptScore W4214825151C158600405 @default.
- W4214825151 hasConceptScore W4214825151C2776214188 @default.
- W4214825151 hasConceptScore W4214825151C33923547 @default.
- W4214825151 hasConceptScore W4214825151C41008148 @default.
- W4214825151 hasConceptScore W4214825151C62520636 @default.
- W4214825151 hasConceptScore W4214825151C64357122 @default.
- W4214825151 hasConceptScore W4214825151C77805123 @default.
- W4214825151 hasConceptScore W4214825151C97256817 @default.
- W4214825151 hasFunder F4320321001 @default.
- W4214825151 hasFunder F4320322769 @default.