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a-pytorch-tutorial-to-image-captioning

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

aoanet

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

attentive-gan-denoising

denosing for dirty document image

chinese-image-caption

Image Chinese Description Generation Based on Multi-level Selective Visual Semantic Attributes

coco-cn

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

denoise-noisy-docs

Removal of stains from noisy docs using image processing, machine learning, neural nets and autoencoder

graphormer

This is the official implementation for "Do Transformers Really Perform Bad for Graph Representation?".

grit

GRIT: Faster and Better Image-captioning Transformer (ECCV 2022)

image-captioning-bottom-up-top-down

PyTorch implementation of Image captioning with Bottom-up, Top-down Attention

img2table

img2table is a table identification and extraction Python Library for PDF and images, based on OpenCV image processing

instruct-pix2pix

latex_ocr_pro

:art: 数学公式识别增强版：中英文手写印刷公式、支持初级符号推导（数据结构基于 LaTeX 抽象语法树）Math Formula OCR Pro, supports handwrite, Chinese-mixed formulas and simple symbol reasoning (based on LaTeX AST).

mamba

Mamba SSM architecture

meshed-memory-transformer

Meshed-Memory Transformer for Image Captioning. CVPR 2020

oscar

Oscar and VinVL

rs5m

RS5M: a large-scale vision language dataset for remote sensing

rsicc

Official LEVIR-CC dataset and Pytorch implementation for Remote Sensing Image Change Captioning With Dual-Branch Transformers: A New Method and a Large Scale Dataset

rstnet

RSTNet: Captioning with Adaptive Attention on Visual and Non-Visual Words (CVPR2021)

self-critical.pytorch

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

sen

Single-stream Extractor Network with Contrastive Pre-training for Remote Sensing Change Captioning