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# 論文リンク
https://arxiv.org/abs/2001.01037
# 公開日(yyyy/mm/dd)
2020/01/04
# 概要
Attenstion を用いた image captioning に合わせて開発した
> variants of layer-wise
relevance backpropagation (LRP) and gradient…
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### feature
I hope this message finds you well. I am reaching out to extend my heartfelt gratitude for the assistance you rendered the other day. It was of immense help and I am truly appreciative.…
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Thank you for your excellent work!
You provide the code to use Qwen for image captioning, can you provide the code for Shikra?
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## ❓ Questions and Help
This is an awesome work, could you please provide me some guidance about how to use this model for Fashion Image Captioning?
THX a lot❤
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![bilde](https://github.com/ceruleandeep/ComfyUI-LLaVA-Captioner/assets/112418655/75ae7572-215a-409e-94b8-82875ac2b2ea)
Love this node!
It would be a great boon if when captioning a list of images…
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https://arxiv.org/abs/1603.03925
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pretrained image captioning model that can be used for zero-shot classification
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#NIPS2017
Institute: CUHK
URL: https://arxiv.org/pdf/1710.02534.pdf
Keywords: Image Captioning, Contrastive Learning
Interest: 2
Code: https://github.com/doubledaibo/clcaption_nips2017 (Not yet…
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## 概要
Multi-task Learning Approach for Image Captioning (MLAIC)の提案をする.
キーとなるのは
1. マルチオブジェクト分類モデル:CNNイメージエンコーダーを使用.これによって豊富な画像のカテゴリっぽい表現を学習
2. 構文生成モデル:LSTMベースのデコーダーを利用.より良い構文を認識して学習
3. イメージキャプショ…