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vqa-softAccompanying code for "A Simple Loss Function for Improving the Convergence and Accuracy of Visual Question Answering Models" CVPR 2017 VQA workshop paper.
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FigureQA-baselineTensorFlow implementation of the CNN-LSTM, Relation Network and text-only baselines for the paper "FigureQA: An Annotated Figure Dataset for Visual Reasoning"
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AoA-pytorchA Pytorch implementation of Attention on Attention module (both self and guided variants), for Visual Question Answering
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probnmn-clevrCode for ICML 2019 paper "Probabilistic Neural-symbolic Models for Interpretable Visual Question Answering" [long-oral]
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iMIXA framework for Multimodal Intelligence research from Inspur HSSLAB.
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Transformer-MM-Explainability[ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-based network. Including examples for DETR, VQA.
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mmgnn textvqaA Pytorch implementation of CVPR 2020 paper: Multi-Modal Graph Neural Network for Joint Reasoning on Vision and Scene Text
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hcrn-videoqaImplementation for the paper "Hierarchical Conditional Relation Networks for Video Question Answering" (Le et al., CVPR 2020, Oral)
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cfvqa[CVPR 2021] Counterfactual VQA: A Cause-Effect Look at Language Bias
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ZS-F-VQACode and Data for paper: Zero-shot Visual Question Answering using Knowledge Graph [ ISWC 2021 ]
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VideoNavQAAn alternative EQA paradigm and informative benchmark + models (BMVC 2019, ViGIL 2019 spotlight)
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self critical vqaCode for NeurIPS 2019 paper ``Self-Critical Reasoning for Robust Visual Question Answering''
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OpenvqaA lightweight, scalable, and general framework for visual question answering research
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Clipbert[CVPR 2021 Oral] Official PyTorch code for ClipBERT, an efficient framework for end-to-end learning for image-text and video-text tasks.
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VqaCloudCV Visual Question Answering Demo
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Bottom Up AttentionBottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome
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Vqa.pytorchVisual Question Answering in Pytorch
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MmfA modular framework for vision & language multimodal research from Facebook AI Research (FAIR)
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Mac NetworkImplementation for the paper "Compositional Attention Networks for Machine Reasoning" (Hudson and Manning, ICLR 2018)
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Awesome VqaVisual Q&A reading list
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OscarOscar and VinVL
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