#
vqa
Here are 117 public repositories matching this topic...
Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome
caffe
vqa
faster-rcnn
image-captioning
captioning-images
mscoco
mscoco-dataset
visual-question-answering
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Updated
Apr 5, 2020 - Jupyter Notebook
An efficient PyTorch implementation of the winning entry of the 2017 VQA Challenge.
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Updated
Sep 4, 2019 - Python
Visual Question Answering in Pytorch
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Updated
Dec 11, 2019 - Python
Implementation for the paper "Compositional Attention Networks for Machine Reasoning" (Hudson and Manning, ICLR 2018)
tensorflow
vqa
question-answering
attention
clevr
machine-reasoning
compositional-attention-networks
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Updated
Jul 2, 2019 - Python
PyTorch implementation of "Transparency by Design: Closing the Gap Between Performance and Interpretability in Visual Reasoning"
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Updated
Aug 21, 2018 - Jupyter Notebook
PyTorch implementation for the Neuro-Symbolic Concept Learner (NS-CL).
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Updated
May 26, 2019 - Python
A curated list of Visual Question Answering(VQA)(Image/Video Question Answering),Visual Question Generation ,Visual Dialog ,Visual Commonsense Reasoning and related area.
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Updated
Aug 30, 2020
Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks
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Updated
Jun 3, 2020 - Python
A lightweight, scalable, and general framework for visual question answering research
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Updated
Aug 19, 2020 - Python
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Updated
Jul 30, 2019 - Python
Strong baseline for visual question answering
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Updated
Mar 13, 2019 - Python
Tensorflow Implementation of Deeper LSTM+ normalized CNN for Visual Question Answering
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Updated
Apr 27, 2017 - Python
读过的CV方向的一些论文,图像生成文字、弱监督分割等
natural-language-processing
computer-vision
captions
vqa
cvpr
iccv
miccai
eccv
image2text
scene-text-detection-recognition
weakly-supervised-segmentation
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Updated
May 16, 2020
Improved Fusion of Visual and Language Representations by Dense Symmetric Co-Attention for Visual Question Answering
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Updated
Oct 14, 2019 - Python
This project is out of date, I don't remember the details inside...
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Updated
Dec 2, 2017 - Python
Implementation for the paper "Hierarchical Conditional Relation Networks for Video Question Answering" (Le et al., CVPR 2020, Oral)
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Updated
May 6, 2020 - Python
Hadamard Product for Low-rank Bilinear Pooling
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Updated
Nov 6, 2017 - Lua
Code for ICML 2019 paper "Probabilistic Neural-symbolic Models for Interpretable Visual Question Answering" [long-oral]
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Updated
Mar 10, 2020 - Python
CloudCV Visual Question Answering Demo
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Updated
Jun 5, 2020 - Lua
Bottom-up features extractor implemented in PyTorch.
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Updated
Dec 5, 2019 - Python
Pytorch implementation of NIPS 2017 paper "Modulating early visual processing by language"
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Updated
Feb 23, 2019 - Python
Code for paper title "Learning Semantic Sentence Embeddings using Pair-wise Discriminator" COLING-2018
acl
torch
vqa
question-answering
rouge
emnlp
questions-and-answers
paraphrase
bleu
paraphrase-identification
visual-question-answering
paraphrase-generation
question-generation
coling2018
acl-2018
emnlp2018
emnlp2017
vqg
visual-questions-generation
question-parapharse
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Updated
Sep 14, 2019 - Jupyter Notebook
RUBi : Reducing Unimodal Biases for Visual Question Answering
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Updated
Jul 1, 2020 - Python
CVPR'17 Spotlight: What’s in a Question: Using Visual Questions as a Form of Supervision
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Updated
Aug 31, 2018 - Lua
Co-attending Regions and Detections for VQA.
caffe
torch
vqa
faster-rcnn
object-detection
multi-modal
attention-mechanism
aaai
multi-gpu
visual-question-answering
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Updated
Jun 2, 2018 - MATLAB
PyTorch VQA implementation that achieved top performances in the (ECCV18) VizWiz Grand Challenge: Answering Visual Questions from Blind People
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Updated
Oct 17, 2018 - Jupyter Notebook
Counterfactual Samples Synthesizing for Robust VQA
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Jul 8, 2020 - Python
Code for NeurIPS 2019 paper ``Self-Critical Reasoning for Robust Visual Question Answering''
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Updated
Sep 9, 2019 - Python
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Temperature scaled sampling for multi dataset
Motivation
In multitask training involving multiple datasets, it is often desirable to be able to control the sampling ratios for different datasets. Currently mmf provides either
equalor sizeproportionalsampling. In order to have more control over the sampling we should add temperature scaled sampling.Pitch
Curr