jnhwkim / ban-vqa

Related projects: ⓘ

• hengyuan-hu / bottom-up-attention-vqa
  An efficient PyTorch implementation of the winning entry of the 2017 VQA Challenge.
  ☆750Updated 6 months ago
• Cadene / block.bootstrap.pytorch
  BLOCK (AAAI 2019), with a multimodal fusion library for deep learning models
  ☆341Updated 4 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…
  ☆292Updated last month
• Cadene / vqa.pytorch
  Visual Question Answering in Pytorch
  ☆714Updated 4 years ago
• Cyanogenoid / vqa-counting
  [ICLR 2018] Learning to Count Objects in Natural Images for Visual Question Answering
  ☆205Updated 5 years ago
• jiasenlu / NeuralBabyTalk
  Pytorch code of for our CVPR 2018 paper "Neural Baby Talk"
  ☆523Updated 5 years ago
• fartashf / vsepp
  PyTorch Code for the paper "VSE++: Improving Visual-Semantic Embeddings with Hard Negatives"
  ☆488Updated 2 years ago
• Cadene / murel.bootstrap.pytorch
  MUREL (CVPR 2019), a multimodal relational reasoning module for VQA
  ☆194Updated 4 years ago
• peteanderson80 / Up-Down-Captioner
  Automatic image captioning model based on Caffe, using features from bottom-up attention.
  ☆243Updated last year
• Cyanogenoid / pytorch-vqa
  Strong baseline for visual question answering
  ☆238Updated last year
• MILVLG / mcan-vqa
  Deep Modular Co-Attention Networks for Visual Question Answering
  ☆438Updated 3 years ago
• chingyaoc / awesome-vqa
  Visual Q&A reading list
  ☆434Updated 5 years ago
• jiasenlu / vilbert_beta
  ☆470Updated last year
• jiasenlu / HieCoAttenVQA
  ☆347Updated 5 years ago
• jiasenlu / AdaptiveAttention
  Implementation of "Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioning"
  ☆334Updated 6 years ago
• yuzcccc / vqa-mfb
  ☆183Updated 5 years ago
• MILVLG / openvqa
  A lightweight, scalable, and general framework for visual question answering research
  ☆318Updated 3 years ago
• peteanderson80 / bottom-up-attention
  Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome
  ☆1,422Updated last year
• ruotianluo / self-critical.pytorch
  Unofficial pytorch implementation for Self-critical Sequence Training for Image Captioning. and others.
  ☆992Updated 11 months ago
• husthuaan / AoANet
  Code for paper "Attention on Attention for Image Captioning". ICCV 2019
  ☆325Updated 3 years ago
• airsplay / lxmert
  PyTorch code for EMNLP 2019 paper "LXMERT: Learning Cross-Modality Encoder Representations from Transformers".
  ☆925Updated last year
• aimbrain / vqa-project
  Code for our paper: Learning Conditioned Graph Structures for Interpretable Visual Question Answering
  ☆148Updated 5 years ago
• fengyang0317 / unsupervised_captioning
  Code for Unsupervised Image Captioning
  ☆215Updated last year
• markdtw / vqa-winner-cvprw-2017
  Pytorch implementation of winner from VQA Chllange Workshop in CVPR'17
  ☆165Updated 5 years ago
• GT-Vision-Lab / VQA
  ☆359Updated 3 years ago
• poojahira / image-captioning-bottom-up-top-down
  PyTorch implementation of Image captioning with Bottom-up, Top-down Attention
  ☆160Updated 5 years ago
• facebookresearch / grid-feats-vqa
  Grid features pre-training code for visual question answering
  ☆268Updated 3 years ago
• airsplay / py-bottom-up-attention
  PyTorch bottom-up attention with Detectron2
  ☆229Updated 2 years ago
• yufengm / Adaptive
  Pytorch Implementation of Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioning
  ☆107Updated 6 years ago
• rowanz / neural-motifs
  Code for Neural Motifs: Scene Graph Parsing with Global Context (CVPR 2018)
  ☆522Updated 5 years ago