| sgrvinod/a-PyTorch-Tutorial-to-Image-Captioning |
2,084 |
|
0 |
0 |
over 3 years ago |
0 |
|
97 |
mit |
Python |
| Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning |
| peteanderson80/bottom-up-attention |
979 |
|
0 |
0 |
about 5 years ago |
0 |
|
56 |
mit |
Jupyter Notebook |
| Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome |
| zhjohnchan/awesome-image-captioning |
828 |
|
0 |
0 |
almost 4 years ago |
0 |
|
1 |
|
|
| A curated list of image captioning and related area resources. :-) |
| kuanghuei/SCAN |
442 |
|
0 |
0 |
about 3 years ago |
0 |
|
18 |
apache-2.0 |
Python |
| PyTorch source code for "Stacked Cross Attention for Image-Text Matching" (ECCV 2018) |
| jiasenlu/AdaptiveAttention |
288 |
|
0 |
0 |
over 8 years ago |
0 |
|
18 |
other |
Jupyter Notebook |
| Implementation of "Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioning" |
| peteanderson80/Up-Down-Captioner |
218 |
|
0 |
0 |
almost 7 years ago |
0 |
|
17 |
mit |
Jupyter Notebook |
| Automatic image captioning model based on Caffe, using features from bottom-up attention. |
| JDAI-CV/image-captioning |
188 |
|
0 |
0 |
over 4 years ago |
0 |
|
2 |
|
Python |
| Implementation of 'X-Linear Attention Networks for Image Captioning' [CVPR 2020] |
| husthuaan/AoANet |
149 |
|
0 |
0 |
over 6 years ago |
0 |
|
5 |
mit |
Python |
| Code for paper "Attention on Attention for Image Captioning". ICCV 2019 |
| zhiqwang/sightseq |
109 |
|
0 |
0 |
over 6 years ago |
0 |
|
2 |
mit |
Python |
| 🔭 Computer vision tools for fairseq, containing PyTorch implementation of text recognition and object detection |
| njchoma/transformer_image_caption |
85 |
|
0 |
0 |
over 7 years ago |
0 |
|
2 |
mit |
Jupyter Notebook |
| Image Captioning based on Bottom-Up and Top-Down Attention model |
