Alternatives and similar repositories for visual-question-answering-tensorflow

Users that are interested in visual-question-answering-tensorflow are comparing it to the libraries listed below

• LuoweiZhou / e2e-gLSTM-sc
  Code for paper "Image Caption Generation with Text-Conditional Semantic Attention"
  ☆60Updated 7 years ago
• JonghwanMun / TextguidedATT
  The implementation of Text-guided Attention Model for Image Captioning
  ☆21Updated 7 years ago
• kevjshih / wtl_vqa
  Released code for the paper: Where To Look: Focus Regions for Visual Question Answering. (CVPR2016)
  ☆10Updated 5 years ago
• lupantech / dual-mfa-vqa
  Co-attending Regions and Detections for VQA.
  ☆40Updated 7 years ago
• TingAnChien / san-vqa-tensorflow
  ☆20Updated 6 years ago
• chingyaoc / san-torch
  Torch implementation for Stacked Attention Networks
  ☆23Updated 8 years ago
• shtechair / vqa-sva
  Structured Attentions for Visual Question Answering
  ☆46Updated 7 years ago
• iamaaditya / VQA_Keras
  Modular and Simple approach to VQA in Keras
  ☆21Updated 7 years ago
• SinghJasdeep / Attention-on-Attention-for-VQA
  Visual Question Answering Project with state of the art single Model performance.
  ☆131Updated 7 years ago
• eriche2016 / image_caption_with_semantic_attenion
  image caption with semantic attention
  ☆11Updated 8 years ago
• lichengunc / vist_api
  Visual Storytelling API
  ☆36Updated 8 years ago
• arunmallya / simple-vqa
  Implements an MLP for VQA
  ☆7Updated 8 years ago
• yikang-li / iQAN
  Visaul Question Generation as Dual Task of Visual Question Answering (PyTorch Version)
  ☆81Updated 7 years ago
• chingyaoc / VQA-tensorflow
  Tensorflow Implementation of Deeper LSTM+ normalized CNN for Visual Question Answering
  ☆99Updated 8 years ago
• chenxinpeng / Optimization_of_image_description_metrics_using_policy_gradient_methods
  Tensorflow implement of paper: Optimization of image description metrics using policy gradient methods
  ☆29Updated 6 years ago
• Wentong-DST / up-down-captioner
  Caffe implementation of paper: "Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering"
  ☆29Updated 6 years ago
• markdtw / soft-attention-image-captioning
  tensorflow implementation of show, attend and tell (ICML'15)
  ☆19Updated 8 years ago
• VisionLearningGroup / Ask_Attend_and_Answer
  Ask, Attend and Answer: Exploring Question-Guided Spatial Attention for Visual Question Answering
  ☆25Updated 4 years ago
• mtanti / rnn-role
  Code used by the paper "What is the Role of Recurrent Neural Networks (RNNs) in an Image Caption Generator?".
  ☆14Updated 7 years ago
• imatge-upc / vqa-2016-cvprw
  Visual question answering for CVPR16 VQA Challenge.
  ☆41Updated 8 years ago
• jnhwkim / MulLowBiVQA
  Hadamard Product for Low-rank Bilinear Pooling
  ☆70Updated 7 years ago
• tangbinh / image-captioning
  ☆71Updated 6 years ago
• dapeng2018 / Image-Captioning
  TensorFlow implementation of Text-guided Attention for Image Captioning using scheduled sampling as a learning approach. Generates captio…
  ☆6Updated 8 years ago
• ExplorerFreda / VSE-C
  [COLING 2018] Learning Visually-Grounded Semantics from Contrastive Adversarial Samples.
  ☆57Updated 5 years ago
• feiyu1990 / Skeleton-key
  The implementation of the model in paper "Skeleton Key: Image Captioning by Skeleton-Attribute Decomposition"
  ☆26Updated 7 years ago
• DeepRNN / visual_question_answering
  Tensorflow implementation of "Dynamic Memory Networks for Visual and Textual Question Answering"
  ☆79Updated 7 years ago
• aviveise / 2WayNet
  ☆15Updated 7 years ago
• varun-nagaraja / referring-expressions
  Localize objects in images using referring expressions
  ☆37Updated 8 years ago
• rasoolfa / videocap
  Memory-augmented Attention Modelling for Videos
  ☆9Updated 8 years ago
• makarandtapaswi / MovieQA_CVPR2016
  Contains approaches introduced in the MovieQA benchmark dataset paper
  ☆79Updated 8 years ago