google-research-datasets / conceptual-captions
Conceptual Captions is a dataset containing (image-URL, caption) pairs designed for the training and evaluation of machine learned image captioning systems.
☆531Updated 3 years ago
Alternatives and similar repositories for conceptual-captions:
Users that are interested in conceptual-captions are comparing it to the libraries listed below
- Vision-Language Pre-training for Image Captioning and Question Answering☆417Updated 3 years ago
- Transformer-based image captioning extension for pytorch/fairseq☆314Updated 4 years ago
- PyTorch Code for the paper "VSE++: Improving Visual-Semantic Embeddings with Hard Negatives"☆502Updated 3 years ago
- Conceptual 12M is a dataset containing (image-URL, caption) pairs collected for vision-and-language pre-training.☆384Updated 2 years ago
- ☆374Updated 4 years ago
- Grid features pre-training code for visual question answering☆269Updated 3 years ago
- Multi Task Vision and Language☆808Updated 3 years ago
- [CVPR 2021] VirTex: Learning Visual Representations from Textual Annotations☆561Updated last year
- Code for the paper "VisualBERT: A Simple and Performant Baseline for Vision and Language"☆532Updated last year
- project page for VinVL☆353Updated last year
- Automatic image captioning model based on Caffe, using features from bottom-up attention.☆245Updated 2 years ago
- Reliably download millions of images efficiently☆113Updated 4 years ago
- Python 3 support for the MS COCO caption evaluation tools☆316Updated 7 months ago
- Meshed-Memory Transformer for Image Captioning. CVPR 2020☆530Updated 2 years ago
- [CVPR 2021 Best Student Paper Honorable Mention, Oral] Official PyTorch code for ClipBERT, an efficient framework for end-to-end learning…☆716Updated last year
- PyTorch bottom-up attention with Detectron2☆232Updated 3 years ago
- PyTorch code for "Unifying Vision-and-Language Tasks via Text Generation" (ICML 2021)☆368Updated last year
- ☆476Updated 2 years ago
- An efficient PyTorch implementation of the winning entry of the 2017 VQA Challenge.☆757Updated last year
- Referring Expression Datasets API☆501Updated 6 months ago
- [ICLR 2022] code for "How Much Can CLIP Benefit Vision-and-Language Tasks?" https://arxiv.org/abs/2107.06383☆411Updated 2 years ago
- PyTorch code for EMNLP 2019 paper "LXMERT: Learning Cross-Modality Encoder Representations from Transformers".☆946Updated 2 years ago
- Unofficial pytorch implementation for Self-critical Sequence Training for Image Captioning. and others.☆1,000Updated last year
- Faster RCNN model in Pytorch version, pretrained on the Visual Genome with ResNet 101☆235Updated 2 years ago
- Recognition to Cognition Networks (code for the model in "From Recognition to Cognition: Visual Commonsense Reasoning", CVPR 2019)☆465Updated 3 years ago
- Research code for ECCV 2020 paper "UNITER: UNiversal Image-TExt Representation Learning"☆792Updated 3 years ago
- This repository focus on Image Captioning & Video Captioning & Seq-to-Seq Learning & NLP☆413Updated 2 years ago
- Code for paper "Attention on Attention for Image Captioning". ICCV 2019☆333Updated 3 years ago
- Pytorch code of for our CVPR 2018 paper "Neural Baby Talk"☆523Updated 5 years ago
- Oscar and VinVL☆1,045Updated last year