Alternatives and similar repositories for Show-Attend-and-Tell

Users that are interested in Show-Attend-and-Tell are comparing it to the libraries listed below

• yahoo / object_relation_transformer
  Implementation of the Object Relation Transformer for Image Captioning
  ☆178Updated 9 months ago
• poojahira / image-captioning-bottom-up-top-down
  PyTorch implementation of Image captioning with Bottom-up, Top-down Attention
  ☆166Updated 6 years ago
• fawazsammani / knowing-when-to-look-adaptive-attention
  PyTorch Implementation of Knowing When to Look: Adaptive Attention via a Visual Sentinal for Image Captioning
  ☆84Updated 5 years ago
• Dong-JinKim / DenseRelationalCaptioning
  Code of Dense Relational Captioning
  ☆69Updated 2 years ago
• violetteshev / bottom-up-features
  Bottom-up features extractor implemented in PyTorch.
  ☆72Updated 5 years ago
• Shivanshu-Gupta / Visual-Question-Answering
  CNN+LSTM, Attention based, and MUTAN-based models for Visual Question Answering
  ☆75Updated 5 years ago
• RoyalSkye / Image-Caption
  Using LSTM or Transformer to solve Image Captioning in Pytorch
  ☆78Updated 3 years ago
• fawazsammani / show-edit-tell
  Show, Edit and Tell: A Framework for Editing Image Captions, CVPR 2020
  ☆80Updated 4 years ago
• fenglinliu98 / MIA
  Code for "Aligning Visual Regions and Textual Concepts for Semantic-Grounded Image Representations" （NeurIPS 2019）
  ☆65Updated 4 years ago
• husthuaan / AoANet
  Code for paper "Attention on Attention for Image Captioning". ICCV 2019
  ☆333Updated 4 years ago
• yangxuntu / SGAE
  ☆219Updated 3 years ago
• lukemelas / image-paragraph-captioning
  [EMNLP 2018] Training for Diversity in Image Paragraph Captioning
  ☆89Updated 5 years ago
• nocaps-org / updown-baseline
  Baseline model for nocaps benchmark, ICCV 2019 paper "nocaps: novel object captioning at scale".
  ☆75Updated last year
• ruotianluo / coco-caption
  ☆67Updated 2 years ago
• YiwuZhong / Sub-GC
  [ECCV 2020] Official code for "Comprehensive Image Captioning via Scene Graph Decomposition"
  ☆97Updated 10 months ago
• mtanti / coco-caption
  ☆38Updated 7 years ago
• cvlab-tohoku / Dense-CoAttention-Network
  Improved Fusion of Visual and Language Representations by Dense Symmetric Co-Attention for Visual Question Answering
  ☆106Updated 5 years ago
• YuanEZhou / Grounded-Image-Captioning
  ☆63Updated 3 years ago
• airsplay / py-bottom-up-attention
  PyTorch bottom-up attention with Detectron2
  ☆233Updated 3 years ago
• aioz-ai / ICCV19_VQA-CTI
  Compact Trilinear Interaction for Visual Question Answering (ICCV 2019)
  ☆38Updated 2 years ago
• tbmoon / basic_vqa
  Pytorch VQA : Visual Question Answering (https://arxiv.org/pdf/1505.00468.pdf)
  ☆95Updated last year
• husthuaan / AAT
  Code for paper "Adaptively Aligned Image Captioning via Adaptive Attention Time". NeurIPS 2019
  ☆50Updated 5 years ago
• ajamjoom / Image-Captions
  BERT + Image Captioning
  ☆133Updated 4 years ago
• cshizhe / asg2cap
  Code accompanying the paper "Say As You Wish: Fine-grained Control of Image Caption Generation with Abstract Scene Graphs" (Chen et al., …
  ☆199Updated 2 years ago
• krasserm / fairseq-image-captioning
  Transformer-based image captioning extension for pytorch/fairseq
  ☆317Updated 4 years ago
• shijx12 / XNM-Net
  Pytorch implementation of "Explainable and Explicit Visual Reasoning over Scene Graphs "
  ☆93Updated 6 years ago
• fengyang0317 / unsupervised_captioning
  Code for Unsupervised Image Captioning
  ☆218Updated 2 years ago
• yikuan8 / Transformers-VQA
  An implementation that downstreams pre-trained V+L models to VQA tasks. Now support: VisualBERT, LXMERT, and UNITER
  ☆164Updated 2 years ago
• yufengm / Adaptive
  Pytorch Implementation of Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioning
  ☆107Updated 7 years ago
• njchoma / transformer_image_caption
  Image Captioning based on Bottom-Up and Top-Down Attention model
  ☆102Updated 6 years ago