https://github.com/ATR-DBI/Map-EQA
공식 코드Map-based Modular Approach for Zero-shot Embodied Question Answering
Papers with Code 아카이브
Embodied Question Answering
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/Hoyyyaard/LSceneLLM
공식 코드LSceneLLM: Enhancing Large 3D Scene Understanding Using Adaptive Visual Preferences
https://github.com/TJURLLAB-EAI/MFE-ETP
공식 코드https://github.com/aistairc/virtualhome2kg
공식 코드Synthesizing Event-centric Knowledge Graphs of Daily Activities Using Virtual Space
https://github.com/ankeshanand/blindfold-baselines-eqa
공식 코드https://github.com/biluyong/cityeqa
공식 코드CityEQA: A Hierarchical LLM Agent on Embodied Question Answering Benchmark in City Space
https://github.com/bytedance/tarsier
공식 코드https://github.com/catalina17/VideoNavQA
공식 코드VideoNavQA: Bridging the Gap between Visual and Embodied Question Answering
https://github.com/facebookresearch/EmbodiedQA
공식 코드https://github.com/hcplab-sysu/causalvlr
공식 코드MEIA: Multimodal Embodied Perception and Interaction in Unknown Environments
https://github.com/lavi-lab/navillm
공식 코드https://github.com/tsinghua-fib-lab/CityEQA
공식 코드CityEQA: A Hierarchical LLM Agent on Embodied Question Answering Benchmark in City Space
https://github.com/zd11024/NaviLLM
공식 코드https://github.com/abhshkdz/House3D
https://github.com/allenai/allenact
https://github.com/facebookresearch/House3D
https://github.com/jxwuyi/House3D
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.