Visual Question Answering in Pytorch
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Updated
Dec 11, 2019 - Python
Visual Question Answering in Pytorch
Implementation for the paper "Compositional Attention Networks for Machine Reasoning" (Hudson and Manning, ICLR 2018)
A pytorch implementation for "A simple neural network module for relational reasoning", working on the CLEVR dataset
CATER: A diagnostic dataset for Compositional Actions and TEmporal Reasoning
Pytorch implementation of "Explainable and Explicit Visual Reasoning over Scene Graphs "
[ICCV 2021] Official implementation of the paper "TRAR: Routing the Attention Spans in Transformers for Visual Question Answering"
Implementation for "Generating Multiple Objects at Spatially Distinct Locations" (ICLR 2019)
Neuro-Symbolic Visual Question Answering on Sort-of-CLEVR using PyTorch
Code for ICML 2019 paper "Probabilistic Neural-symbolic Models for Interpretable Visual Question Answering" [long-oral]
Memory, Attention and Composition (MAC) Network for CLEVR implemented via KnetLayers
Character-Preserving Coherent Story Visualization, ECCV 2020
Code for "Learning Canonical Representations for Scene Graph to Image Generation", Herzig & Bar et al., ECCV2020
Knet implementation of "A simple neural network module for relational reasoning" (Relational Networks) https://arxiv.org/pdf/1706.01427.pdf
Relational Content-Based Image Retrieval (R-CBIR) - Retrieving images with given relationships among objects
CLEVR-X: A Visual Reasoning Dataset for Natural Language Explanations
Reimplementation of Slot Attention (object discovery task) in PyTorch with converted checkpoint
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