Vqa Winner Cvprw 2017
Pytorch implementation of winner from VQA Chllange Workshop in CVPR'17
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Mmf | 5,414 | 2 months ago | 145 | other | Python | |||||
| A modular framework for vision & language multimodal research from Facebook AI Research (FAIR) | ||||||||||
| Clipbert | 649 | 8 months ago | 12 | mit | 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. | ||||||||||
| 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. | ||||||||||
| Vqa.pytorch | 536 | 4 years ago | 19 | Python | ||||||
| Visual Question Answering in Pytorch | ||||||||||
| Tbd Nets | 335 | 6 years ago | 2 | mit | Jupyter Notebook | |||||
| PyTorch implementation of "Transparency by Design: Closing the Gap Between Performance and Interpretability in Visual Reasoning" | ||||||||||
| Openvqa | 225 | 3 years ago | 1 | apache-2.0 | Python | |||||
| A lightweight, scalable, and general framework for visual question answering research | ||||||||||
| Pytorch Vqa | 213 | a year ago | 5 | Python | ||||||
| Strong baseline for visual question answering | ||||||||||
| Nscl Pytorch Release | 209 | 5 years ago | 7 | mit | Python | |||||
| PyTorch implementation for the Neuro-Symbolic Concept Learner (NS-CL). | ||||||||||
| Mcan Vqa | 181 | 4 years ago | 2 | apache-2.0 | Python | |||||
| Deep Modular Co-Attention Networks for Visual Question Answering | ||||||||||
| Vqa Winner Cvprw 2017 | 160 | 5 years ago | 3 | Python | ||||||
| Pytorch implementation of winner from VQA Chllange Workshop in CVPR'17 | ||||||||||
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