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Embodied Question Answering
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이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
ToSA: Token Merging with Spatial Awareness
General-Purpose Robotic Navigation via LVLM-Orchestrated Perception, Reasoning, and Acting
EQA-RM: A Generative Embodied Reward Model with Test-time Scaling
Memory-Centric Embodied Question Answer
Beyond the Destination: A Novel Benchmark for Exploration-Aware Embodied Question Answering
Vector Quantized Feature Fields for Fast 3D Semantic Lifting
CityEQA: A Hierarchical LLM Agent on Embodied Question Answering Benchmark in City Space
Tarsier2: Advancing Large Vision-Language Models from Detailed Video Description to Comprehensive Video Understanding
GraphEQA: Using 3D Semantic Scene Graphs for Real-time Embodied Question Answering
NoisyEQA: Benchmarking Embodied Question Answering Against Noisy Queries
TANGO: Training-free Embodied AI Agents for Open-world Tasks
LSceneLLM: Enhancing Large 3D Scene Understanding Using Adaptive Visual Preferences
EfficientEQA: An Efficient Approach for Open Vocabulary Embodied Question Answering
"Is This It?": Towards Ecologically Valid Benchmarks for Situated Collaboration
MFE-ETP: A Comprehensive Evaluation Benchmark for Multi-modal Foundation Models on Embodied Task Planning
Multi-LLM QA with Embodied Exploration
Map-based Modular Approach for Zero-shot Embodied Question Answering
Is the House Ready For Sleeptime? Generating and Evaluating Situational Queries for Embodied Question Answering
Explore until Confident: Efficient Exploration for Embodied Question Answering
MEIA: Multimodal Embodied Perception and Interaction in Unknown Environments
Towards Learning a Generalist Model for Embodied Navigation
Synthesizing Event-centric Knowledge Graphs of Daily Activities Using Virtual Space
LLM as A Robotic Brain: Unifying Egocentric Memory and Control
Explore before Moving: A Feasible Path Estimation and Memory Recalling Framework for Embodied Navigation
A Survey of Embodied AI: From Simulators to Research Tasks
AllenAct: A Framework for Embodied AI Research
VideoNavQA: Bridging the Gap between Visual and Embodied Question Answering
Multi-Target Embodied Question Answering
Revisiting EmbodiedQA: A Simple Baseline and Beyond
Embodied Question Answering in Photorealistic Environments with Point Cloud Perception
Embodied Multimodal Multitask Learning
Blindfold Baselines for Embodied QA
Neural Modular Control for Embodied Question Answering
Embodied Question Answering
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.