Alternatives and similar repositories for vsepp

Users that are interested in vsepp are comparing it to the libraries listed below

• kuanghuei / SCAN
  PyTorch source code for "Stacked Cross Attention for Image-Text Matching" (ECCV 2018)
  ☆566Updated 2 years ago
• KunpengLi1994 / VSRN
  PyTorch code for ICCV'19 paper "Visual Semantic Reasoning for Image-Text Matching"
  ☆301Updated 5 years ago
• peteanderson80 / Up-Down-Captioner
  Automatic image captioning model based on Caffe, using features from bottom-up attention.
  ☆246Updated 2 years ago
• jnhwkim / ban-vqa
  Bilinear attention networks for visual question answering
  ☆545Updated last year
• MILVLG / mcan-vqa
  Deep Modular Co-Attention Networks for Visual Question Answering
  ☆455Updated 4 years ago
• hengyuan-hu / bottom-up-attention-vqa
  An efficient PyTorch implementation of the winning entry of the 2017 VQA Challenge.
  ☆757Updated last year
• poojahira / image-captioning-bottom-up-top-down
  PyTorch implementation of Image captioning with Bottom-up, Top-down Attention
  ☆166Updated 6 years ago
• Cadene / murel.bootstrap.pytorch
  MUREL (CVPR 2019), a multimodal relational reasoning module for VQA
  ☆195Updated 5 years ago
• KaihuaTang / VQA2.0-Recent-Approachs-2018.pytorch
  A pytroch reimplementation of "Bilinear Attention Network", "Intra- and Inter-modality Attention", "Learning Conditioned Graph Structures…
  ☆294Updated 11 months ago
• fengyang0317 / unsupervised_captioning
  Code for Unsupervised Image Captioning
  ☆218Updated 2 years ago
• Cadene / block.bootstrap.pytorch
  BLOCK (AAAI 2019), with a multimodal fusion library for deep learning models
  ☆354Updated 5 years ago
• Cyanogenoid / pytorch-vqa
  Strong baseline for visual question answering
  ☆240Updated 2 years ago
• shilrley6 / Faster-R-CNN-with-model-pretrained-on-Visual-Genome
  Faster RCNN model in Pytorch version, pretrained on the Visual Genome with ResNet 101
  ☆237Updated 2 years ago
• forence / Awesome-Visual-Captioning
  This repository focus on Image Captioning & Video Captioning & Seq-to-Seq Learning & NLP
  ☆412Updated 2 years ago
• yuzcccc / vqa-mfb
  ☆182Updated 6 years ago
• yalesong / pvse
  Polysemous Visual-Semantic Embedding for Cross-Modal Retrieval (CVPR 2019)
  ☆134Updated last year
• husthuaan / AoANet
  Code for paper "Attention on Attention for Image Captioning". ICCV 2019
  ☆333Updated 4 years ago
• jiasenlu / NeuralBabyTalk
  Pytorch code of for our CVPR 2018 paper "Neural Baby Talk"
  ☆525Updated 6 years ago
• peteanderson80 / SPICE
  Semantic Propositional Image Caption Evaluation
  ☆141Updated 2 years ago
• Cyanogenoid / vqa-counting
  [ICLR 2018] Learning to Count Objects in Natural Images for Visual Question Answering
  ☆206Updated 6 years ago
• aimbrain / vqa-project
  Code for our paper: Learning Conditioned Graph Structures for Interpretable Visual Question Answering
  ☆149Updated 6 years ago
• jiasenlu / vilbert_beta
  ☆478Updated 2 years ago
• MILVLG / bottom-up-attention.pytorch
  A PyTorch reimplementation of bottom-up-attention models
  ☆302Updated 3 years ago
• facebookresearch / grid-feats-vqa
  Grid features pre-training code for visual question answering
  ☆269Updated 3 years ago
• violetteshev / bottom-up-features
  Bottom-up features extractor implemented in PyTorch.
  ☆72Updated 5 years ago
• yufengm / Adaptive
  Pytorch Implementation of Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioning
  ☆107Updated 7 years ago
• ranjaykrishna / visual_genome_python_driver
  A python wrapper for the Visual Genome API
  ☆364Updated last year
• aditya12agd5 / convcap
  ☆129Updated 6 years ago
• yangxuntu / SGAE
  ☆219Updated 3 years ago
• airsplay / py-bottom-up-attention
  PyTorch bottom-up attention with Detectron2
  ☆234Updated 3 years ago