65 Open source projects that are alternatives of or similar to Adaptive

Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome

Oscar and VinVL

Code for "Show, Adapt and Tell: Adversarial Training of Cross-domain Image Captioner" in ICCV 2017

Simple Swift class to provide all the configurations you need to create custom camera view in your app

A fast implementation of Neural Image Caption by Chainer

Image Captions Generation with Spatial and Channel-wise Attention

TensorFlow Implementation of "Show, Attend and Tell"

Generating image captions using Xception Network and Beam Search in Keras

Implementation of "Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioning"

Computer vision tools for fairseq, containing PyTorch implementation of text recognition and object detection

Generating Captions for images using Deep Learning

The projects I do in Machine Learning with PyTorch, keras, Tensorflow, scikit learn and Python.

ML data annotations made super easy for teams. Just upload data, add your team and build training/evaluation dataset in hours.

Image Captioning: Implementing the Neural Image Caption Generator with python

My solutions to the projects assigned for the Udacity Computer Vision Nanodegree

Tensorflow implementation of paper: A Hierarchical Approach for Generating Descriptive Image Paragraphs

Transformer-based image captioning extension for pytorch/fairseq

Official Pytorch implementation of "OmniNet: A unified architecture for multi-modal multi-task learning" | Authors: Subhojeet Pramanik, Priyanka Agrawal, Aman Hussain

Show and Tell : A Neural Image Caption Generator

Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition

A neural network to generate captions for an image using CNN and RNN with BEAM Search.

Learning to Evaluate Image Captioning. CVPR 2018

Show, Control and Tell: A Framework for Generating Controllable and Grounded Captions. CVPR 2019

My solutions for Assignments of CS231n: Convolutional Neural Networks for Visual Recognition

Video to Text: Generates description in natural language for given video (Video Captioning)

Image Captioning based on Bottom-Up and Top-Down Attention model

Using LSTM or Transformer to solve Image Captioning in Pytorch

Meshed-Memory Transformer for Image Captioning. CVPR 2020

Image Caption and Text to Image papers.

This repo includes all the projects I have finished in the Udacity Nanodegree programs

Enriching MS-COCO with Chinese sentences and tags for cross-lingual multimedia tasks

A reverse image search engine powered by elastic search and tensorflow

generate captions for images using a CNN-RNN model that is trained on the Microsoft Common Objects in COntext (MS COCO) dataset

PyTorch implementation of pix2code. 🔥

An implementation of the NAACL 2018 paper "Punny Captions: Witty Wordplay in Image Descriptions".

Automatic image captioning model based on Caffe, using features from bottom-up attention.

Implementation of Neural Image Captioning model using Keras with Theano backend

Image Captioning Using Transformer

Unofficial pytorch implementation for Self-critical Sequence Training for Image Captioning. and others.

Implementation of 'X-Linear Attention Networks for Image Captioning' [CVPR 2020]

An open-source tool for sequence learning in NLP built on TensorFlow.

Twitter bot for generating photo descriptions (alt text)

[CVPR 2021] VirTex: Learning Visual Representations from Textual Annotations

[DEPRECATED] A Neural Network based generative model for captioning images using Tensorflow

PyTorch source code for "Stacked Cross Attention for Image-Text Matching" (ECCV 2018)

CS231n Assignments Solutions - Spring 2020

Image Captioning using InceptionV3 and beam search

Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning

Tensorflow implement of paper: A Hierarchical Approach for Generating Descriptive Image Paragraphs

A length-controllable and non-autoregressive image captioning model.

A pytorch implemention of "StyleNet: Generating Attractive Visual Captions with Styles"

gis (go image server) go 实现的图片服务，实现基本的上传，下载，存储，按比例裁剪等功能

Official pytorch implementation of paper "Dual-Level Collaborative Transformer for Image Captioning" (AAAI 2021).

Code for paper "Attention on Attention for Image Captioning". ICCV 2019

A pytorch implementation of On the Automatic Generation of Medical Imaging Reports.

Code for "Aligning Visual Regions and Textual Concepts for Semantic-Grounded Image Representations" （NeurIPS 2019）

The objective is to process by generating textual description from an image – based on the objects and actions in the image. Using generative models so that it creates novel sentences. Pipeline type models uses two separate learning process, one for language modelling and other for image recognition. It first identifies objects in image and prov…

A pytorch implementation of "Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering" for image captioning.

A modular library built on top of Keras and TensorFlow to generate a caption in natural language for any input image.

CVPR 2018 - Regularizing RNNs for Caption Generation by Reconstructing The Past with The Present