PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
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Updated
Aug 5, 2024 - 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
FiLM: Visual Reasoning with a General Conditioning Layer
Recent Papers including Neural Symbolic Reasoning, Logical Reasoning, Visual Reasoning, planning and any other topics connecting deep learning and reasoning
RAVEN: A Dataset for Relational and Analogical Visual rEasoNing
[ICML 2023] UPop: Unified and Progressive Pruning for Compressing Vision-Language Transformers.
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
Image captioning using python and BLIP
Visual Question Reasoning on General Dependency Tree
Learning Perceptual Inference by Contrasting
[ICML 2024] CrossGET: Cross-Guided Ensemble of Tokens for Accelerating Vision-Language Transformers.
An alternative EQA paradigm and informative benchmark + models (BMVC 2019, ViGIL 2019 spotlight)
Abstract Spatial-Temporal Reasoning via Probabilistic Abduction and Execution
📄 A curated list of visual reasoning papers.
ACRE: Abstract Causal REasoning Beyond Covariation
NeuSyRE: A Neuro-Symbolic Visual Understanding and Reasoning Framework based on Scene Graph Enrichment
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