Vqatocqa
Code for the models developed in the paper: "From VQA to Multimodal CQA: Adapting Visual QA Models for Community QA Tasks" (http://arxiv.org/abs/1808.09648)
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Bottom Up Attention Vqa | 606 | 5 years ago | 15 | gpl-3.0 | Python | |||||
| An efficient PyTorch implementation of the winning entry of the 2017 VQA Challenge. | ||||||||||
| Awesome Vqa | 431 | 6 years ago | 6 | mit | ||||||
| Visual Q&A reading list | ||||||||||
| Nmn2 | 369 | 7 years ago | 2 | apache-2.0 | Python | |||||
| Neural module networks | ||||||||||
| Vqa Mcb | 179 | 8 years ago | 10 | other | Python | |||||
| Awesome Text Vqa | 140 | a year ago | 1 | |||||||
| Awesome Vqa Latest | 42 | 2 years ago | 1 | Python | ||||||
| Visual Question Answering Paper List. | ||||||||||
| Sutd Trafficqa | 35 | a year ago | JavaScript | |||||||
| [CVPR2021] SUTD-TrafficQA: A Question Answering Benchmark and an Efficient Network for Video Reasoning over Traffic Events | ||||||||||
| Nsm | 32 | 5 years ago | 6 | Python | ||||||
| Neural State Machine implemented in PyTorch | ||||||||||
| Basic_vqa | 29 | 4 years ago | 5 | mit | Jupyter Notebook | |||||
| Pytorch VQA : Visual Question Answering (https://arxiv.org/pdf/1505.00468.pdf) | ||||||||||
| Papernotes | 23 | 5 years ago | 1 | HTML | ||||||
| My notes on some Deep Learning papers | ||||||||||
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