Alternatives and similar repositories for Image-Captioning

Users that are interested in Image-Captioning are comparing it to the libraries listed below

• SubhamIO / Image-Captioning-using-Attention-Mechanism-Local-Attention-and-Global-Attention-
  Implemented Image Captioning Model using both Local and Global Attention Techniques and API'fied the model using FLASK
  ☆26Updated 5 years ago
• aravindvarier / Image-Captioning-Pytorch
  Hyperparameter analysis for Image Captioning using LSTMs and Transformers
  ☆26Updated 2 years ago
• ajamjoom / Image-Captions
  BERT + Image Captioning
  ☆134Updated 4 years ago
• zarzouram / image_captioning_with_transformers
  Pytorch implementation of image captioning using transformer-based model.
  ☆68Updated 2 years ago
• Dantekk / Image-Captioning
  Image Captioning using CNN and Transformer.
  ☆55Updated 4 years ago
• RoyalSkye / Image-Caption
  Using LSTM or Transformer to solve Image Captioning in Pytorch
  ☆79Updated 4 years ago
• Shreyz-max / Video-Captioning
  Video Captioning is an encoder decoder mode based on sequence to sequence learning
  ☆138Updated last year
• dabasajay / Image-Caption-Generator
  A neural network to generate captions for an image using CNN and RNN with BEAM Search.
  ☆309Updated 5 years ago
• saahiluppal / catr
  Image Captioning Using Transformer
  ☆271Updated 3 years ago
• hlamba28 / Automatic-Image-Captioning
  Generating Captions for images using Deep Learning
  ☆121Updated 6 years ago
• rizavelioglu / hateful_memes-hate_detectron
  [NeurIPS'20-Competition] Detecting Hate Speech in Memes Using Multimodal Deep Learning Approaches: Prize-winning solution to Hateful Meme…
  ☆62Updated last year
• ntusteeian / VQA_CNN-LSTM
  Pytorch implementation of VQA: Visual Question Answering (https://arxiv.org/pdf/1505.00468.pdf) using VQA v2.0 dataset for open-ended ta…
  ☆21Updated 5 years ago
• rajesh-bhat / dhs_summit_2019_image_captioning
  Image captioning using attention models
  ☆39Updated 5 years ago
• kaylode / caption-transformer
  Image captioning with Transformer
  ☆14Updated 4 years ago
• ntrang086 / image_captioning
  generate captions for images using a CNN-RNN model that is trained on the Microsoft Common Objects in COntext (MS COCO) dataset
  ☆81Updated 7 years ago
• rammyram / image_captioning
  image captioning trained using COCO dataset in pytorch
  ☆36Updated 5 years ago
• krasserm / fairseq-image-captioning
  Transformer-based image captioning extension for pytorch/fairseq
  ☆317Updated 4 years ago
• tbmoon / basic_vqa
  Pytorch VQA : Visual Question Answering (https://arxiv.org/pdf/1505.00468.pdf)
  ☆98Updated 2 years ago
• tezansahu / VQA-With-Multimodal-Transformers
  Exploring multimodal fusion-type transformer models for visual question answering (on DAQUAR dataset)
  ☆37Updated 3 years ago
• sauravraghuvanshi / Udacity-Computer-Vision-Nanodegree-Program
  This repositary contain all my exercises and projects of Udacity Computer Vision Nanodegree Program
  ☆54Updated 2 years ago
• MiteshPuthran / Image-Caption-Generator
  The LSTM model generates captions for the input images after extracting features from pre-trained VGG-16 model. (Computer Vision, NLP, De…
  ☆90Updated 6 years ago
• Muennighoff / vilio
  🥶Vilio: State-of-the-art VL models in PyTorch & PaddlePaddle
  ☆90Updated 2 years ago
• VinitSR7 / Image-Caption-Generation
  Image Captioning: Implementing the Neural Image Caption Generator
  ☆21Updated 5 years ago
• yashkolli / Video-Summarization-Using-Attention
  A Keras Implementation of Supervised Video Summarization using Attention Based Encoder-Decoder Networks
  ☆29Updated 3 years ago
• yikuan8 / Transformers-VQA
  An implementation that downstreams pre-trained V+L models to VQA tasks. Now support: VisualBERT, LXMERT, and UNITER
  ☆165Updated 2 years ago
• IsaacRodgz / ConcatBERT
  Baseline model for multimodal classification based on images and text. Text representation obtained from pretrained BERT base model and i…
  ☆42Updated 3 years ago
• yaswanthpalaghat / Automatic-Image-Captioning-using-CNN-LSTM-deep-neural-networks-and-flask
  Image caption generation has emerged as a challenging and important research area following ad-vances in statistical language modelling a…
  ☆36Updated 2 years ago
• kahotsang / image-captioning
  Simple image-captioning model using Flickr8K dataset
  ☆15Updated 3 years ago
• ZhenguoChen / Neural-Network-Image-Captioning
  Neural Network Image Description
  ☆22Updated 7 years ago
• Tandon-A / emotic
  PyTorch implementation of Emotic CNN methodology to recognize emotions in images using context information.
  ☆144Updated last year