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Spatial Reasoning

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보존된 평가 기록

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코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/google-research/scenic

공식 코드

Location-Aware Self-Supervised Transformers for Semantic Segmentation

https://github.com/gorjanradevski/revisiting-spatial-temporal-layouts

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Revisiting spatio-temporal layouts for compositional action recognition

https://github.com/groundlight/vlm-visual-demonstrations

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Can Vision Language Models Learn from Visual Demonstrations of Ambiguous Spatial Reasoning?

https://github.com/hamzeiehsan/questions-to-geosparql

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Translating Place-Related Questions to GeoSPARQL Queries

https://github.com/haochen-wang409/droppos

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DropPos: Pre-Training Vision Transformers by Reconstructing Dropped Positions

https://github.com/haochenz11/iref-vla

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IRef-VLA: A Benchmark for Interactive Referential Grounding with Imperfect Language in 3D Scenes

https://github.com/haonan-li/lamb

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Location Aware Modular Biencoder for Tourism Question Answering

https://github.com/haoningwu3639/SpatialScore

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SpatialScore: Towards Unified Evaluation for Multimodal Spatial Understanding

https://github.com/haotian-liu/LLaVA

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Visual Instruction Tuning

https://github.com/hiyouga/easyr1

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Grounded Reinforcement Learning for Visual Reasoning

https://github.com/hlr/lovis

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LOViS: Learning Orientation and Visual Signals for Vision and Language Navigation

https://github.com/hs-yn/daps

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Dense 2D-3D Indoor Prediction with Sound via Aligned Cross-Modal Distillation

https://github.com/hsiangwei0903/spatialagent

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Warehouse Spatial Question Answering with LLM Agent

https://github.com/imran2205/logicrag

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Logic-RAG: Augmenting Large Multimodal Models with Visual-Spatial Knowledge for Road Scene Understanding

https://github.com/ir-nlp-csui/indonli

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IndoNLI: A Natural Language Inference Dataset for Indonesian

https://github.com/isaaccorley/chesapeakersc

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Seeing the roads through the trees: A benchmark for modeling spatial dependencies with aerial imagery

https://github.com/ivy-dl/memory

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End-to-End Egospheric Spatial Memory

https://github.com/janhq/visual-thinker

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AlphaMaze: Enhancing Large Language Models' Spatial Intelligence via GRPO

https://github.com/jiayuww/SpatialEval

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Is A Picture Worth A Thousand Words? Delving Into Spatial Reasoning for Vision Language Models

https://github.com/kaist-cvml/3d-vlm-gd

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3D-Aware Vision-Language Models Fine-Tuning with Geometric Distillation

https://github.com/kesenzhao/uv-cot

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Unsupervised Visual Chain-of-Thought Reasoning via Preference Optimization

https://github.com/knowledgetechnologyuhh/grid-3d

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Knowing Earlier what Right Means to You: A Comprehensive VQA Dataset for Grounding Relative Directions via Multi-Task Learning

https://github.com/kovvalsky/spacenli

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SpaceNLI: Evaluating the Consistency of Predicting Inferences in Space

https://github.com/kraina-ai/geospatial-code-llms-dataset

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Evaluation of Code LLMs on Geospatial Code Generation

https://github.com/kzampog/cilantro

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cilantro: A Lean, Versatile, and Efficient Library for Point Cloud Data Processing

https://github.com/lamalab-org/mac-bench

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Probing the limitations of multimodal language models for chemistry and materials research

https://github.com/lil-lab/knotgym

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Knot So Simple: A Minimalistic Environment for Spatial Reasoning

https://github.com/lil-lab/touchdown

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Touchdown: Natural Language Navigation and Spatial Reasoning in Visual Street Environments

https://github.com/liuting20/dara

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DARA: Domain- and Relation-aware Adapters Make Parameter-efficient Tuning for Visual Grounding

https://github.com/lkaesberg/sparc

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SPaRC: A Spatial Pathfinding Reasoning Challenge

https://github.com/machine-teaching-group/tmlr2024_neurtasksyn

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Neural Task Synthesis for Visual Programming

https://github.com/mainlp/SYGAR

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Enabling Systematic Generalization in Abstract Spatial Reasoning through Meta-Learning for Compositionality

https://github.com/marrlab/shapr_torch

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Capturing Shape Information with Multi-Scale Topological Loss Terms for 3D Reconstruction

https://github.com/mayhugotong/videoinsta

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VideoINSTA: Zero-shot Long Video Understanding via Informative Spatial-Temporal Reasoning with LLMs

https://github.com/mbzuai-oryx/thinkgeo

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ThinkGeo: Evaluating Tool-Augmented Agents for Remote Sensing Tasks

https://github.com/merlresearch/SMART

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Are Deep Neural Networks SMARTer than Second Graders?

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