Navigate
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 2
- 평가표
- 0
- 보존된 평가 기록
- 0
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/MushroomHunting/RSS2020-online-domain-adaptation-pot
공식 코드https://github.com/OSU-NLP-Group/UGround
공식 코드Navigating the Digital World as Humans Do: Universal Visual Grounding for GUI Agents
https://github.com/OliverRichter/map-reader
공식 코드Teaching a Machine to Read Maps with Deep Reinforcement Learning
https://github.com/OpenBMB/CPO
공식 코드Controllable Preference Optimization: Toward Controllable Multi-Objective Alignment
https://github.com/OpenDriveLab/MTGS
공식 코드https://github.com/PaulsonLab/MOBONS
공식 코드https://github.com/PortNLP/MultiWHO
공식 코드Who Relies More on World Knowledge and Bias for Syntactic Ambiguity Resolution: Humans or LLMs?
https://github.com/Priberam/mesinesp-svm
공식 코드Priberam at MESINESP Multi-label Classification of Medical Texts Task
https://github.com/RAIL-group/RAIL-group-software/tree/main/modules/lsp_gnn
공식 코드Improving Reliable Navigation under Uncertainty via Predictions Informed by Non-Local Information
https://github.com/RIET-lab/claim-compare
공식 코드ClaimCompare: A Data Pipeline for Evaluation of Novelty Destroying Patent Pairs
https://github.com/RU-Automated-Reasoning-Group/MUN
공식 코드https://github.com/Ram81/goat-bench
공식 코드https://github.com/RedwanNewaz/YoloTag
공식 코드YoloTag: Vision-based Robust UAV Navigation with Fiducial Markers
https://github.com/Rhoban/footstepnet_envs
공식 코드https://github.com/Robinroy-peter/DRL-DynamicDroneLanding
공식 코드Lander.AI: Adaptive Landing Behavior Agent for Expertise in 3D Dynamic Platform Landings
https://github.com/SGPHD/E-Scooter_Rider_Detection
공식 코드E-Scooter Rider Detection and Classification in Dense Urban Environments
https://github.com/SalesforceAIResearch/indict_code_gen
공식 코드INDICT: Code Generation with Internal Dialogues of Critiques for Both Security and Helpfulness
https://github.com/Scitator/Run-Skeleton-Run
공식 코드Run, skeleton, run: skeletal model in a physics-based simulation
https://github.com/Sha-Lab/babywalk
공식 코드BabyWalk: Going Farther in Vision-and-Language Navigation by Taking Baby Steps
https://github.com/ShayekhBinIslam/openrag
공식 코드Open-RAG: Enhanced Retrieval-Augmented Reasoning with Open-Source Large Language Models
https://github.com/Shuijing725/VAE_trait_inference
공식 코드Learning to Navigate Intersections with Unsupervised Driver Trait Inference
https://github.com/SimarKareer/legged_gym
공식 코드https://github.com/Smart-Wheelchair-RRC/o3d-sim
공식 코드Open-Set 3D Semantic Instance Maps for Vision Language Navigation -- O3D-SIM
https://github.com/StanfordASL/mantrap
공식 코드https://github.com/Starlien95/Count-GNN
공식 코드https://github.com/TUM-CPS-HN/SafeLLMRA
공식 코드Safe LLM-Controlled Robots with Formal Guarantees via Reachability Analysis
https://github.com/Tinker-Twins/MARL-Simulator
공식 코드Decentralized Motion Planning for Multi-Robot Navigation using Deep Reinforcement Learning
https://github.com/Unity-Technologies/marathon-envs
공식 코드Marathon Environments: Multi-Agent Continuous Control Benchmarks in a Modern Video Game Engine
https://github.com/Woodenonez/DyObAv_MPCnEBM_Warehouse
공식 코드https://github.com/XPixelGroup/DepictQA
공식 코드Depicting Beyond Scores: Advancing Image Quality Assessment through Multi-modal Language Models
https://github.com/YicongHong/Entity-Graph-VLN
공식 코드Language and Visual Entity Relationship Graph for Agent Navigation
https://github.com/YicongHong/Fine-Grained-R2R
공식 코드https://github.com/ZHU-Zhiyu/FLUX-IR
공식 코드Learning Efficient and Effective Trajectories for Differential Equation-based Image Restoration
https://github.com/Zeying-Gong/Falcon
공식 코드From Cognition to Precognition: A Future-Aware Framework for Social Navigation
https://github.com/ZheC/GTA-IM-Dataset
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.