Alternatives and similar repositories for vsepp

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

• KunpengLi1994 / VSRN
  PyTorch code for ICCV'19 paper "Visual Semantic Reasoning for Image-Text Matching"
  ☆301Updated 5 years ago
• kuanghuei / SCAN
  PyTorch source code for "Stacked Cross Attention for Image-Text Matching" (ECCV 2018)
  ☆563Updated 2 years ago
• jiasenlu / vilbert_beta
  ☆478Updated 2 years ago
• peteanderson80 / Up-Down-Captioner
  Automatic image captioning model based on Caffe, using features from bottom-up attention.
  ☆246Updated 2 years ago
• ruotianluo / self-critical.pytorch
  Unofficial pytorch implementation for Self-critical Sequence Training for Image Captioning. and others.
  ☆1,000Updated last year
• hengyuan-hu / bottom-up-attention-vqa
  An efficient PyTorch implementation of the winning entry of the 2017 VQA Challenge.
  ☆757Updated last year
• 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 9 months ago
• MILVLG / bottom-up-attention.pytorch
  A PyTorch reimplementation of bottom-up-attention models
  ☆301Updated 3 years ago
• poojahira / image-captioning-bottom-up-top-down
  PyTorch implementation of Image captioning with Bottom-up, Top-down Attention
  ☆166Updated 6 years ago
• facebookresearch / grid-feats-vqa
  Grid features pre-training code for visual question answering
  ☆269Updated 3 years ago
• husthuaan / AoANet
  Code for paper "Attention on Attention for Image Captioning". ICCV 2019
  ☆333Updated 4 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
  ☆238Updated 2 years ago
• MILVLG / mcan-vqa
  Deep Modular Co-Attention Networks for Visual Question Answering
  ☆452Updated 4 years ago
• LuoweiZhou / VLP
  Vision-Language Pre-training for Image Captioning and Question Answering
  ☆419Updated 3 years ago
• yuzcccc / vqa-mfb
  ☆181Updated 5 years ago
• Cadene / block.bootstrap.pytorch
  BLOCK (AAAI 2019), with a multimodal fusion library for deep learning models
  ☆352Updated 5 years ago
• MILVLG / openvqa
  A lightweight, scalable, and general framework for visual question answering research
  ☆323Updated 3 years ago
• jnhwkim / ban-vqa
  Bilinear attention networks for visual question answering
  ☆545Updated last year
• airsplay / py-bottom-up-attention
  PyTorch bottom-up attention with Detectron2
  ☆233Updated 3 years ago
• linjieli222 / VQA_ReGAT
  Research Code for ICCV 2019 paper "Relation-aware Graph Attention Network for Visual Question Answering"
  ☆183Updated 4 years ago
• Cadene / vqa.pytorch
  Visual Question Answering in Pytorch
  ☆728Updated 5 years ago
• jiasenlu / NeuralBabyTalk
  Pytorch code of for our CVPR 2018 paper "Neural Baby Talk"
  ☆525Updated 6 years ago
• LisaAnne / LocalizingMoments
  Github for my ICCV 2017 paper: "Localizing Moments in Video with Natural Language"
  ☆196Updated 4 years ago
• Cyanogenoid / pytorch-vqa
  Strong baseline for visual question answering
  ☆239Updated 2 years ago
• fengyang0317 / unsupervised_captioning
  Code for Unsupervised Image Captioning
  ☆217Updated 2 years ago
• peteanderson80 / bottom-up-attention
  Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome
  ☆1,451Updated 2 years ago
• forence / Awesome-Visual-Captioning
  This repository focus on Image Captioning & Video Captioning & Seq-to-Seq Learning & NLP
  ☆413Updated 2 years ago
• ZihaoWang-CV / CAMP_iccv19
  CAMP: Cross-Modal Adaptive Message Passing for Text-Image Retrieval
  ☆127Updated 5 years ago
• rowanz / neural-motifs
  Code for Neural Motifs: Scene Graph Parsing with Global Context (CVPR 2018)
  ☆537Updated 5 years ago