Alternatives and similar repositories for imageqa-san

Users that are interested in imageqa-san are comparing it to the libraries listed below

• jiasenlu / visDial.pytorch
  visual dialog model in pytorch
  ☆109Updated 7 years ago
• s-gupta / visual-concepts
  Code for detecting visual concepts in images.
  ☆150Updated 7 years ago
• akirafukui / vqa-mcb
  ☆219Updated 8 years ago
• SinghJasdeep / Attention-on-Attention-for-VQA
  Visual Question Answering Project with state of the art single Model performance.
  ☆131Updated 6 years ago
• LisaAnne / DCC
  Implementation of CVPR 2016 paper
  ☆75Updated 4 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
• jnhwkim / MulLowBiVQA
  Hadamard Product for Low-rank Bilinear Pooling
  ☆70Updated 7 years ago
• markdtw / vqa-winner-cvprw-2017
  Pytorch implementation of winner from VQA Chllange Workshop in CVPR'17
  ☆163Updated 6 years ago
• LuoweiZhou / e2e-gLSTM-sc
  Code for paper "Image Caption Generation with Text-Conditional Semantic Attention"
  ☆60Updated 7 years ago
• abhshkdz / neural-vqa-attention
  Attention-based Visual Question Answering in Torch
  ☆100Updated 7 years ago
• ruotianluo / DiscCaptioning
  Code for Discriminability objective for training descriptive captions(CVPR 2018)
  ☆109Updated 5 years ago
• ronghanghu / cmn
  Code release for Hu et al. Modeling Relationships in Referential Expressions with Compositional Modular Networks. in CVPR, 2017
  ☆67Updated 6 years ago
• zhegan27 / Semantic_Compositional_Nets
  The Theano code for the CVPR 2017 paper "Semantic Compositional Networks for Visual Captioning"
  ☆68Updated 7 years ago
• peteanderson80 / coco-caption
  Adds SPICE metric to coco-caption evaluation server codes
  ☆49Updated 2 years ago
• ronghanghu / natural-language-object-retrieval
  Code release for Hu et al. Natural Language Object Retrieval, in CVPR, 2016
  ☆112Updated 8 years ago
• chapternewscu / image-captioning-with-semantic-attention
  ☆50Updated 8 years ago
• chingyaoc / VQA-tensorflow
  Tensorflow Implementation of Deeper LSTM+ normalized CNN for Visual Question Answering
  ☆98Updated 8 years ago
• zhoubolei / VQAbaseline
  Simple Baseline for Visual Question Answering
  ☆186Updated 8 years ago
• vsubhashini / caption-eval
  Sentence/Caption evaluation using automated metrics
  ☆61Updated 9 years ago
• kacky24 / stylenet
  A pytorch implemention of "StyleNet: Generating Attractive Visual Captions with Styles"
  ☆62Updated 4 years ago
• tsenghungchen / show-adapt-and-tell
  Code for "Show, Adapt and Tell: Adversarial Training of Cross-domain Image Captioner" in ICCV 2017
  ☆148Updated 6 years ago
• fukun07 / neural-image-captioning
  Using scene-specific contexts and region-based attention in neural image captioning
  ☆44Updated 5 years ago
• Cyanogenoid / vqa-counting
  [ICLR 2018] Learning to Count Objects in Natural Images for Visual Question Answering
  ☆206Updated 6 years ago
• kevjshih / wtl_vqa
  Released code for the paper: Where To Look: Focus Regions for Visual Question Answering. (CVPR2016)
  ☆10Updated 5 years ago
• richardaecn / cvpr18-caption-eval
  Learning to Evaluate Image Captioning. CVPR 2018
  ☆84Updated 6 years ago
• aditya12agd5 / convcap
  ☆129Updated 6 years ago
• jnhwkim / nips-mrn-vqa
  Multimodal Residual Learning for Visual QA (NIPS 2016)
  ☆38Updated 8 years ago
• rakshithShetty / captionGAN
  Source code for the paper "Speaking the Same Language: Matching Machine to Human Captions by Adversarial Training"
  ☆66Updated 6 years ago
• mjhucla / Google_Refexp_toolbox
  The toolbox for the Google Refexp dataset proposed in this paper: http://arxiv.org/abs/1511.02283
  ☆165Updated 8 years ago
• yukezhu / visual7w-qa-models
  Visual7W visual question answering models
  ☆63Updated 5 years ago