PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
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Updated
Mar 11, 2023 - Jupyter Notebook
PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
Deep Modular Co-Attention Networks for Visual Question Answering
Recent Papers including Neural Symbolic Reasoning, Logical Reasoning, Visual Reasoning, planning and any other topics connecting deep learning and reasoning
FiLM: Visual Reasoning with a General Conditioning Layer
RAVEN: A Dataset for Relational and Analogical Visual rEasoNing
Pytorch implementation of "Explainable and Explicit Visual Reasoning over Scene Graphs "
[ICLR 2022] RelViT: Concept-guided Vision Transformer for Visual Relational Reasoning
[CVPR 2022 (oral)] Bongard-HOI for benchmarking few-shot visual reasoning
Visual Question Reasoning on General Dependency Tree
Learning Perceptual Inference by Contrasting
Mid-level PyTorch Based Framework for Visual Question Answering.
An alternative EQA paradigm and informative benchmark + models (BMVC 2019, ViGIL 2019 spotlight)
ACRE: Abstract Causal REasoning Beyond Covariation
Abstract Spatial-Temporal Reasoning via Probabilistic Abduction and Execution
Learning Algebraic Representation for Systematic Generalization in Abstract Reasoning
Image captioning using python and BLIP
Pytorch implementation of " A simple neural network module for relational reasoning" paper aka Relational networks for visual reasoning.
A list of research papers on knowledge-enhanced multimodal learning
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