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
[NeurIPS 2024] Official code for HourVideo: 1-Hour Video Language Understanding
✨✨Latest Advances on Neuro-Symbolic Learning in the era of Large Language Models
🚀ReVisual-R1 is a 7B open-source multimodal language model that follows a three-stage curriculum—cold-start pre-training, multimodal reinforcement learning, and text-only reinforcement learning—to achieve faithful, concise, and self-reflective state-of-the-art performance in visual and textual reasoning.
Pytorch implementation of "Explainable and Explicit Visual Reasoning over Scene Graphs "
Official code for paper "GRIT: Teaching MLLMs to Think with Images"
[CVPR 2022 (oral)] Bongard-HOI for benchmarking few-shot visual reasoning
[ICLR 2022] RelViT: Concept-guided Vision Transformer for Visual Relational Reasoning
[NeurIPS 2024] Official code repository for MSR3D paper
Image captioning using python and BLIP
Visual Question Reasoning on General Dependency Tree
Learning Perceptual Inference by Contrasting
Abstract Spatial-Temporal Reasoning via Probabilistic Abduction and Execution
📄 A curated list of visual reasoning papers.
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