https://github.com/3dlg-hcvc/M3DRef-CLIP
공식 코드Multi3DRefer: Grounding Text Description to Multiple 3D Objects
Papers with Code 아카이브
Visual Navigation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
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- 평가표
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- 보존된 평가 기록
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Visual Navigation is the problem of navigating an agent, e.g. a mobile robot, in an environment using camera input only. The agent is given a target image (an image it will see from the target position), and its goal is to move from its current position to the target by applying a sequence of actions, based on the camera observations only.
Source: Vision-based Navigation Using Deep Reinforcement Learning
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/Agricultural-Robotics-Bonn/visual-multi-crop-row-navigation
공식 코드Towards Autonomous Crop-Agnostic Visual Navigation in Arable Fields
https://github.com/CIFASIS/StereoLoopDetector
공식 코드Addressing the challenges of loop detection in agricultural environments
https://github.com/DBay-ani/Fanoos
공식 코드Fanoos: Multi-Resolution, Multi-Strength, Interactive Explanations for Learned Systems
https://github.com/DBay-ani/FanoosFurtherMaterials
공식 코드Fanoos: Multi-Resolution, Multi-Strength, Interactive Explanations for Learned Systems
https://github.com/HCI-LMC/VLN-SUSA
공식 코드https://github.com/Haiyang-W/MAVN
공식 코드https://github.com/Hoyyyaard/LSceneLLM
공식 코드LSceneLLM: Enhancing Large 3D Scene Understanding Using Adaptive Visual Preferences
https://github.com/Jakob-Bach/Constrained-Subgroup-Discovery
공식 코드Using Constraints to Discover Sparse and Alternative Subgroup Descriptions
https://github.com/Kchour/steinerpy
공식 코드S$^*$: A Heuristic Information-Based Approximation Framework for Multi-Goal Path Finding
https://github.com/KuoHaoZeng/Interactive_Visual_Navigation
공식 코드https://github.com/MatthewChang/video-dqn
공식 코드https://github.com/MrGGLS/BlockPruner
공식 코드https://github.com/Networks-Learning/strategic-decisions
공식 코드https://github.com/PNNL/SDS
공식 코드https://github.com/PierreMarza/teaching_agents_how_to_map
공식 코드Teaching Agents how to Map: Spatial Reasoning for Multi-Object Navigation
https://github.com/Ram81/goat-bench
공식 코드https://github.com/SPL-BGU/PEM-BiHS
공식 코드https://github.com/Sha-Lab/babywalk
공식 코드BabyWalk: Going Farther in Vision-and-Language Navigation by Taking Baby Steps
https://github.com/SilinMeng0510/llm-astar
공식 코드LLM-A*: Large Language Model Enhanced Incremental Heuristic Search on Path Planning
https://github.com/SimarKareer/legged_gym
공식 코드https://github.com/SitLog/source_code
공식 코드https://github.com/Sprakbanken/CHR24-image-retrieval
공식 코드https://github.com/UZ-SLAMLab/DrunkardsOdometry
공식 코드The Drunkard's Odometry: Estimating Camera Motion in Deforming Scenes
https://github.com/XiaohanLei/GaussNav
공식 코드https://github.com/Xin-Ye-1/HRL-GRG
공식 코드Hierarchical and Partially Observable Goal-driven Policy Learning with Goals Relational Graph
https://github.com/YicongHong/Recurrent-VLN-BERT
공식 코드https://github.com/Ymm-cll/LLM-Virus
공식 코드LLM-Virus: Evolutionary Jailbreak Attack on Large Language Models
https://github.com/Yusufma03/DPFRL
공식 코드Discriminative Particle Filter Reinforcement Learning for Complex Partial Observations
https://github.com/agrover112/fliscopt
공식 코드Flipping the switch on local exploration: Genetic Algorithms with Reversals
https://github.com/ai4ce/CityWalker
공식 코드CityWalker: Learning Embodied Urban Navigation from Web-Scale Videos
https://github.com/ai4ce/SNAC
공식 코드Simultaneous Navigation and Construction Benchmarking Environments
https://github.com/aig-upf/best-first-generalized-planning
공식 코드https://github.com/aimagelab/LoCoNav
공식 코드https://github.com/aimagelab/pin
공식 코드Personalized Instance-based Navigation Toward User-Specific Objects in Realistic Environments
https://github.com/airi-institute/pogema
공식 코드POGEMA: A Benchmark Platform for Cooperative Multi-Agent Pathfinding
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.