cogtoolslab/visual-abstraction-benchmarking-cogsci2023

Stars
2
Language
JavaScript
License
MIT License
Created almost 2 years ago
Updated about 1 year ago

cogtoolslab/visual-abstraction-benchmarking-cogsci2023

cogtoolslab

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

physics-benchmarking-neurips2021

Repo for "Physion: Evaluating Physical Prediction from Vision in Humans and Machines", presented at NeurIPS 2021 (Datasets & Benchmarks track)

Jupyter Notebook

photo-sketch-correspondence

Official PyTorch implementation of Learning Dense Correspondences between Photos and Sketches, ICML 2023.

compositional-abstractions

visual_abstractions_benchmarking_public2023

block_construction

Project investigating human physical construction behavior

Jupyter Notebook

compositional-abstractions-tutorial

Compositional Abstractions Tutorial

lax-cogsci22

Identifying concept libraries from language about object structure

Jupyter Notebook

semantic_parts

How is semantic information conveyed in drawings?

Jupyter Notebook

handy_tips

various handy tips for members of cogtoolslab

project_template

template for project repo organization

_collabdraw

Contains human-computer collaborative sketching game experiments presented at ACM Creativity & Cognition '19 (http://cc.acm.org/2019/)

gallerize

tool for generating web-based interactive sketch gallery

Jupyter Notebook

cognitive-ai-benchmarking

cognitive-ai-benchmarking

graphical_conventions_cogsci19

how do people agree on ways of communicating visual concepts?

Jupyter Notebook

davinci_public2023

physics_language_cogsci2022_public

Jupyter Notebook

trust_agents_cogsci2022_public

causaldraw_cogsci2021

camera-ready version for github repo release