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Found 4 papers, 3 papers with code
D3: Data Diversity Design for Systematic Generalization in Visual Question Answering
We demonstrate that this result is independent of the similarity between the training and testing data and applies to well-known families of neural network architectures for VQA (i. e. monolithic architectures and neural module networks).
HICO-DET-SG and V-COCO-SG: New Data Splits for Evaluating the Systematic Generalization Performance of Human-Object Interaction Detection Models
Human-Object Interaction (HOI) detection is a task to localize humans and objects in an image and predict the interactions in human-object pairs.
Human-Object Interaction Detection
Systematic Generalization
Transformer Module Networks for Systematic Generalization in Visual Question Answering
We reveal that Neural Module Networks (NMNs), i. e., question-specific compositions of modules that tackle a sub-task, achieve better or similar systematic generalization performance than the conventional Transformers, even though NMNs' modules are CNN-based.
Multimodal Explanations by Predicting Counterfactuality in Videos
This study addresses generating counterfactual explanations with multimodal information.
