Alternatives and similar repositories for Oscar

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

• facebookresearch / vilbert-multi-task
  Multi Task Vision and Language
  ☆824Updated 3 years ago
• ChenRocks / UNITER
  Research code for ECCV 2020 paper "UNITER: UNiversal Image-TExt Representation Learning"
  ☆800Updated 4 years ago
• airsplay / lxmert
  PyTorch code for EMNLP 2019 paper "LXMERT: Learning Cross-Modality Encoder Representations from Transformers".
  ☆966Updated 3 years ago
• jackroos / VL-BERT
  Code for ICLR 2020 paper "VL-BERT: Pre-training of Generic Visual-Linguistic Representations".
  ☆746Updated 2 years ago
• LuoweiZhou / VLP
  Vision-Language Pre-training for Image Captioning and Question Answering
  ☆423Updated 4 years ago
• uclanlp / visualbert
  Code for the paper "VisualBERT: A Simple and Performant Baseline for Vision and Language"
  ☆540Updated 2 years ago
• jayleicn / ClipBERT
  [CVPR 2021 Best Student Paper Honorable Mention, Oral] Official PyTorch code for ClipBERT, an efficient framework for end-to-end learning…
  ☆722Updated 2 years ago
• jiasenlu / vilbert_beta
  ☆478Updated 3 years ago
• pzzhang / VinVL
  project page for VinVL
  ☆359Updated 2 years ago
• airsplay / py-bottom-up-attention
  PyTorch bottom-up attention with Detectron2
  ☆239Updated 4 years ago
• aimagelab / meshed-memory-transformer
  Meshed-Memory Transformer for Image Captioning. CVPR 2020
  ☆544Updated 3 years ago
• forence / Awesome-Visual-Captioning
  This repository focus on Image Captioning & Video Captioning & Seq-to-Seq Learning & NLP
  ☆411Updated 3 years ago
• MILVLG / mcan-vqa
  Deep Modular Co-Attention Networks for Visual Question Answering
  ☆458Updated 5 years ago
• yuewang-cuhk / awesome-vision-language-pretraining-papers
  Recent Advances in Vision and Language PreTrained Models (VL-PTMs)
  ☆1,156Updated 3 years ago
• MILVLG / bottom-up-attention.pytorch
  A PyTorch reimplementation of bottom-up-attention models
  ☆302Updated 3 years ago
• ruotianluo / self-critical.pytorch
  Unofficial pytorch implementation for Self-critical Sequence Training for Image Captioning. and others.
  ☆1,007Updated 2 years ago
• peteanderson80 / bottom-up-attention
  Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome
  ☆1,466Updated 3 years ago
• MILVLG / openvqa
  A lightweight, scalable, and general framework for visual question answering research
  ☆330Updated 4 years ago
• krasserm / fairseq-image-captioning
  Transformer-based image captioning extension for pytorch/fairseq
  ☆318Updated 5 years ago
• zhjohnchan / awesome-image-captioning
  A curated list of image captioning and related area resources. :-)
  ☆1,074Updated 2 years ago
• jokieleung / awesome-visual-question-answering
  A curated list of Visual Question Answering(VQA)(Image/Video Question Answering),Visual Question Generation ,Visual Dialog ,Visual Common…
  ☆671Updated 2 years ago
• facebookresearch / grid-feats-vqa
  Grid features pre-training code for visual question answering
  ☆269Updated 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
  ☆239Updated 3 years ago
• dandelin / ViLT
  Code for the ICML 2021 (long talk) paper: "ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision"
  ☆1,523Updated last year
• yikuan8 / Transformers-VQA
  An implementation that downstreams pre-trained V+L models to VQA tasks. Now support: VisualBERT, LXMERT, and UNITER
  ☆165Updated 3 years ago
• Cadene / block.bootstrap.pytorch
  BLOCK (AAAI 2019), with a multimodal fusion library for deep learning models
  ☆356Updated 6 years ago
• microsoft / scene_graph_benchmark
  image scene graph generation benchmark
  ☆401Updated 3 years ago
• zdou0830 / METER
  METER: A Multimodal End-to-end TransformER Framework
  ☆374Updated 3 years ago
• ashkamath / mdetr
  ☆1,045Updated 3 years ago
• saahiluppal / catr
  Image Captioning Using Transformer
  ☆271Updated 3 years ago