Pytorch Implementation of Zero-Shot Image-to-Text Generation for Visual-Semantic Arithmetic

Last update: Jan 03, 2023

Related tags

Deep Learning zero-shot-image-to-text

Overview

Pytorch Implementation of Zero-Shot Image-to-Text Generation for Visual-Semantic Arithmetic

[Paper] [Colab is coming soon]

Approach

Example

Usage

To run captioning on a single image:

$ python run.py 
--reset_context_delta
--caption_img_path "example_images/captions/COCO_val2014_000000097017.jpg"

To run model on visual arithmetic:

$ python run.py 
--reset_context_delta
--end_factor 1.06
--fusion_factor 0.95
--grad_norm_factor 0.95
--run_type arithmetics
--arithmetics_imgs "example_images/arithmetics/woman2.jpg" "example_images/arithmetics/king2.jpg" "example_images/arithmetics/man2.jpg"
--arithmetics_weights 1 1 -1

To run model on real world knowledge:

$ python run.py
--reset_context_delta --cond_text "Image of" 
--end_factor 1.04 
--caption_img_path "example_images/real_world/simpsons.jpg"

To run model on OCR:

$ python run.py
--reset_context_delta --cond_text "Image of text that says" 
--end_factor 1.04 
--caption_img_path "example_images/OCR/welcome_sign.jpg"

Owner

GitHub Repository

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Pytorch Implementation of Zero-Shot Image-to-Text Generation for Visual-Semantic Arithmetic

Related tags

Overview

Pytorch Implementation of Zero-Shot Image-to-Text Generation for Visual-Semantic Arithmetic

Approach

Example

Usage

To run captioning on a single image:

To run model on visual arithmetic:

To run model on real world knowledge:

To run model on OCR:

Owner

Implementation of the method described in the Speech Resynthesis from Discrete Disentangled Self-Supervised Representations.

The PyTorch implementation of paper REST: Debiased Social Recommendation via Reconstructing Exposure Strategies

验证码识别 深度学习 tensorflow 神经网络

Session-based Recommendation, CoHHN, price preferences, interest preferences, Heterogeneous Hypergraph, Co-guided Learning, SIGIR2022

python 93% acc. CNN Dogs Vs Cats ( Pytorch )

A "gym" style toolkit for building lightweight Neural Architecture Search systems

Code for ICML 2021 paper: How could Neural Networks understand Programs?

GraphLily: A Graph Linear Algebra Overlay on HBM-Equipped FPGAs

Machine learning for NeuroImaging in Python

NLP From Scratch Without Large-Scale Pretraining: A Simple and Efficient Framework

Generative Autoregressive, Normalized Flows, VAEs, Score-based models (GANVAS)

MonoScene: Monocular 3D Semantic Scene Completion

[ICCV 2021] Focal Frequency Loss for Image Reconstruction and Synthesis

Deal or No Deal? End-to-End Learning for Negotiation Dialogues

FedCV: A Federated Learning Framework for Diverse Computer Vision Tasks

An efficient framework for reinforcement learning.

alfred-py: A deep learning utility library for **human**

Using Streamlit to host a multi-page tool with model specs and classification metrics, while also accepting user input values for prediction.

Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services

A Python Reconnection Tool for alt:V

验证码识别深度学习 tensorflow 神经网络

alfred-py: A deep learning utility library for human