Visual commonsense representation learning via causal inference
We present a novel unsupervised feature representation learning method, Visual Commonsense Region-based Convolutional Neural Network (VC R-CNN), to serve as an improved visual region encoder for high-level tasks such as captioning and VQA. Given a set of detected object regions in an image (e.g., us...
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Main Authors: | , , , |
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Format: | text |
Language: | English |
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Institutional Knowledge at Singapore Management University
2020
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Online Access: | https://ink.library.smu.edu.sg/sis_research/5598 https://ink.library.smu.edu.sg/context/sis_research/article/6601/viewcontent/Wang_Visual_Commonsense_Representation_Learning_via_Causal_Inference_CVPRW_2020_paper.pdf |
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Institution: | Singapore Management University |
Language: | English |
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