Cavp
Code release for Context-Aware Visual Policy Network for Sequence-Level Image Captioning (MM 2018) and Context-Aware Visual Policy Network for Fine-Grained Image Captioning (TPAMI 2019)
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Cs231 | 276 | 6 years ago | 1 | Jupyter Notebook | ||||||
| Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition | ||||||||||
| Cs231n_assignments | 41 | 6 years ago | Jupyter Notebook | |||||||
| [Assignments] CS231N: Convolutional Neural Networks for Visual Recognition (2016 & 2017) | ||||||||||
| Cavp | 30 | 5 years ago | mit | Python | ||||||
| Code release for Context-Aware Visual Policy Network for Sequence-Level Image Captioning (MM 2018) and Context-Aware Visual Policy Network for Fine-Grained Image Captioning (TPAMI 2019) | ||||||||||
| Cs231n | 28 | 3 years ago | Jupyter Notebook | |||||||
| CS231n Assignments Solutions - Spring 2020 | ||||||||||
| Automatic Image Captioning | 26 | 2 years ago | mit | Jupyter Notebook | ||||||
| In this project, I have created a neural network architecture to automatically generate captions from images. After using the Microsoft Common Objects in COntext (MS COCO) dataset to train my network, I have tested my network on novel images! | ||||||||||
| Recurrent_fusion_network | 19 | 5 years ago | Python | |||||||
| Source code for "Recurrent Fusion Network for Image Captioning". | ||||||||||
| Image Captioning | 13 | 6 years ago | 2 | Python | ||||||
| Image Captioning project for Computer Vision Course at NYU | ||||||||||
| Cs231n | 13 | 6 years ago | Jupyter Notebook | |||||||
| My solutions for Assignments of CS231n: Convolutional Neural Networks for Visual Recognition | ||||||||||
| Cs231n | 8 | 6 years ago | Jupyter Notebook | |||||||
| Basic operation implementation | ||||||||||
| Twin Networks For Sequence Generation | 7 | 6 years ago | Python | |||||||
| ICLR 2018 Reproducibility Challenge: Paper - "Twin Networks: Matching the Future for Sequence Generation" | ||||||||||
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