Visual Question Answering in Pytorch

Implementation for the paper "Compositional Attention Networks for Machine Reasoning" (Hudson and Manning, ICLR 2018)

Implementation for "Generating Multiple Objects at Spatially Distinct Locations" (ICLR 2019)

CATER: A diagnostic dataset for Compositional Actions and TEmporal Reasoning

Pytorch implementation of "Explainable and Explicit Visual Reasoning over Scene Graphs "

A pytorch implementation for "A simple neural network module for relational reasoning", working on the CLEVR dataset

Code for ICML 2019 paper "Probabilistic Neural-symbolic Models for Interpretable Visual Question Answering" [long-oral]

[ICCV 2021] Official implementation of the paper "TRAR: Routing the Attention Spans in Transformers for Visual Question Answering"

Neuro-Symbolic Visual Question Answering on Sort-of-CLEVR using PyTorch

Character-Preserving Coherent Story Visualization, ECCV 2020

💥 Transformation Driven Visual Reasoning - CVPR 2021

Code for "Learning Canonical Representations for Scene Graph to Image Generation", Herzig & Bar et al., ECCV2020

CLEVR-X: A Visual Reasoning Dataset for Natural Language Explanations

Relational Content-Based Image Retrieval (R-CBIR) - Retrieving images with given relationships among objects

Pytorch implementation of " A simple neural network module for relational reasoning" paper aka Relational networks for visual reasoning.

Reimplementation of Slot Attention (object discovery task) in PyTorch with converted checkpoint

Memory, Attention and Composition (MAC) Network for CLEVR implemented via KnetLayers

Knet implementation of "A simple neural network module for relational reasoning" (Relational Networks) https://arxiv.org/pdf/1706.01427.pdf

CLEVR graph: A dataset for graph based reasoning

VQA: Memory, Attention and Composition (MAC) Network for CLEVR implemented via KnetLayers