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vqa
Here are 157 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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Feb 14, 2021 - Jupyter Notebook
An efficient PyTorch implementation of the winning entry of the 2017 VQA Challenge.
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Sep 4, 2019 - Python
Visual Question Answering in Pytorch
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Dec 11, 2019 - Python
Oscar and VinVL
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May 24, 2021 - 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 10, 2021 - Python
[CVPR 2021 Best Student Paper Honorable Mention, Oral] Official PyTorch code for ClipBERT, an efficient framework for end-to-end learning on image-text and video-text tasks.
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Updated
Jul 20, 2021 - Python
PyTorch implementation of "Transparency by Design: Closing the Gap Between Performance and Interpretability in Visual Reasoning"
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Aug 21, 2018 - Jupyter Notebook
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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Jul 26, 2021
PyTorch implementation for the Neuro-Symbolic Concept Learner (NS-CL).
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Updated
Oct 24, 2020 - Python
A lightweight, scalable, and general framework for visual question answering research
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Updated
Mar 10, 2021 - Python
Strong baseline for visual question answering
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Updated
May 26, 2021 - Python
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Jul 30, 2019 - 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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May 16, 2020
[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.
visualization
transformers
transformer
vqa
clip
interpretability
explainable-ai
explainability
detr
lxmert
visualbert
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Jul 22, 2021 - Jupyter Notebook
Tensorflow Implementation of Deeper LSTM+ normalized CNN for Visual Question Answering
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Apr 27, 2017 - Python
Improved Fusion of Visual and Language Representations by Dense Symmetric Co-Attention for Visual Question Answering
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Oct 14, 2019 - Python
Implementation for the paper "Hierarchical Conditional Relation Networks for Video Question Answering" (Le et al., CVPR 2020, Oral)
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May 6, 2020 - Python
This project is out of date, I don't remember the details inside...
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Dec 2, 2017 - Python
[IEEE TIP'2021] "UGC-VQA: Benchmarking Blind Video Quality Assessment for User Generated Content", Zhengzhong Tu, Yilin Wang, Neil Birkbeck, Balu Adsumilli, Alan C. Bovik
evaluation
dataset
feature-extraction
vqa
user-generated-content
iqa
image-quality-assessment
video-quality-assessment
bvqa-model
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Jun 7, 2021 - MATLAB
CloudCV Visual Question Answering Demo
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Jun 10, 2021 - Lua
Hadamard Product for Low-rank Bilinear Pooling
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Updated
Nov 6, 2017 - Lua
Bottom-up features extractor implemented in PyTorch.
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Dec 5, 2019 - Python
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
[CVPR 2021] Counterfactual VQA: A Cause-Effect Look at Language Bias
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Jul 2, 2021 - Python
Counterfactual Samples Synthesizing for Robust VQA
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Jul 8, 2020 - Python
RUBi : Reducing Unimodal Biases for Visual Question Answering
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Mar 29, 2021 - Python
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File "/home/ubuntu/vqa/GMN/mmf/mmf/datasets/builders/visual_genome/dataset.py", line 44, in init
scene_graph_file = self._get_absolute_path(scene_graph_file)
AttributeError: 'VisualGenomeDataset' object has no attribute '_get_absolute_path'
Command that i run in shell
CUDA_VISIBLE_DEVICES="0" mmf_run config=projects/gmn/configs/visual_genome/defaults.yaml model=gm