CLEVR-X: A Visual Reasoning Dataset for Natural Language Explanations
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Updated
Oct 27, 2023 - Python
CLEVR-X: A Visual Reasoning Dataset for Natural Language Explanations
Code for ICML 2019 paper "Probabilistic Neural-symbolic Models for Interpretable Visual Question Answering" [long-oral]
Code for "Learning Canonical Representations for Scene Graph to Image Generation", Herzig & Bar et al., ECCV2020
VQA using the Differentiable Forth Interpreter
Implementation for "Generating Multiple Objects at Spatially Distinct Locations" (ICLR 2019)
Neuro-Symbolic Visual Question Answering on Sort-of-CLEVR using PyTorch
Relational Content-Based Image Retrieval (R-CBIR) - Retrieving images with given relationships among objects
[ICCV 2021] Official implementation of the paper "TRAR: Routing the Attention Spans in Transformers for Visual Question Answering"
Implementation for the paper "Compositional Attention Networks for Machine Reasoning" (Hudson and Manning, ICLR 2018)
Reimplementation of Slot Attention (object discovery task) in PyTorch with converted checkpoint
Character-Preserving Coherent Story Visualization, ECCV 2020
CATER: A diagnostic dataset for Compositional Actions and TEmporal Reasoning
Knet implementation of "A simple neural network module for relational reasoning" (Relational Networks) https://arxiv.org/pdf/1706.01427.pdf
Memory, Attention and Composition (MAC) Network for CLEVR implemented via KnetLayers
Visual Question Answering in Pytorch
A pytorch implementation for "A simple neural network module for relational reasoning", working on the CLEVR dataset
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