https://github.com/Alab-NII/onecommon
공식 코드A Linguistic Analysis of Visually Grounded Dialogues Based on Spatial Expressions
Papers with Code 아카이브
Natural Language Visual Grounding
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/FoundationVision/Groma
공식 코드Groma: Localized Visual Tokenization for Grounding Multimodal Large Language Models
https://github.com/OS-Copilot/OS-Atlas
공식 코드OS-ATLAS: A Foundation Action Model for Generalist GUI Agents
https://github.com/OSU-NLP-Group/UGround
공식 코드Navigating the Digital World as Humans Do: Universal Visual Grounding for GUI Agents
https://github.com/THUDM/CogAgent
공식 코드https://github.com/ahmedssabir/belief-revision-score
공식 코드Belief Revision based Caption Re-ranker with Visual Semantic Information
https://github.com/alfworld/alfworld
공식 코드ALFWorld: Aligning Text and Embodied Environments for Interactive Learning
https://github.com/ant-8/GUI-Grounding-via-Iterative-Narrowing
공식 코드https://github.com/antoyang/TubeDETR
공식 코드https://github.com/askforalfred/alfred
공식 코드ALFRED: A Benchmark for Interpreting Grounded Instructions for Everyday Tasks
https://github.com/bcv-uniandes/png
공식 코드https://github.com/chihyaoma/selfmonitoring-agent
공식 코드Self-Monitoring Navigation Agent via Auxiliary Progress Estimation
https://github.com/hazananayurt/viref
공식 코드Searching for Ambiguous Objects in Videos using Relational Referring Expressions
https://github.com/jacobswan1/MTG-pytorch
공식 코드https://github.com/mees/calvin
공식 코드https://github.com/njucckevin/seeclick
공식 코드SeeClick: Harnessing GUI Grounding for Advanced Visual GUI Agents
https://github.com/qwenlm/qwen-vl
공식 코드Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond
https://github.com/qwenlm/qwen2-vl
공식 코드Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution
https://github.com/showlab/showui
공식 코드ShowUI: One Vision-Language-Action Model for GUI Visual Agent
https://github.com/thudm/cogvlm
공식 코드https://github.com/waybarrios/guidance-based-video-grounding
공식 코드https://github.com/yiye3/guicourse
공식 코드GUICourse: From General Vision Language Models to Versatile GUI Agents
https://github.com/youngfly11/LCMCG-PyTorch
공식 코드https://github.com/MindCode-4/code-4/tree/main/qwen2_moe
Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution
https://github.com/MindCode-4/code-4/tree/main/qwen2_vl
Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution
https://github.com/Seth-Park/MultimodalExplanations
https://github.com/Seth-Park/RobustChangeCaptioning
https://github.com/akirafukui/vqa-mcb
https://github.com/alexpashevich/E.T.
ALFRED: A Benchmark for Interpreting Grounded Instructions for Everyday Tasks
https://github.com/ariaui/aria-ui
https://github.com/ayusefi/Localization-Papers
Self-Monitoring Navigation Agent via Auxiliary Progress Estimation
https://github.com/baichuan-inc/Baichuan-Omni-1.5
Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution
https://github.com/brandon3964/multimodal-task-vector
Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond
https://github.com/caisarl76/alfred
ALFRED: A Benchmark for Interpreting Grounded Instructions for Everyday Tasks
https://github.com/digirl-agent/digirl
https://github.com/divelab/vqa-text
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.