Papers with Code 아카이브
Visual Navigation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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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/snumprlab/capeam
공식 코드Context-Aware Planning and Environment-Aware Memory for Instruction Following Embodied Agents
https://github.com/solislemuslab/phylo-diamond.jl
공식 코드https://github.com/solislemuslab/phylodiamond.jl
공식 코드https://github.com/speckdavid/rl-plan
공식 코드Learning Heuristic Selection with Dynamic Algorithm Configuration
https://github.com/srama2512/PONI
공식 코드PONI: Potential Functions for ObjectGoal Navigation with Interaction-free Learning
https://github.com/stanfordvl/sonicverse
공식 코드Sonicverse: A Multisensory Simulation Platform for Embodied Household Agents that See and Hear
https://github.com/sysu-roboticslab/navid
공식 코드NaviDiffusor: Cost-Guided Diffusion Model for Visual Navigation
https://github.com/taochenshh/exp4nav
공식 코드https://github.com/tensorflow/models
공식 코드Visual Representations for Semantic Target Driven Navigation
https://github.com/thomasdengiz/multiobjective_localsearch_dsm
공식 코드https://github.com/tiancuteqy/endomamba
공식 코드EndoMamba: An Efficient Foundation Model for Endoscopic Videos via Hierarchical Pre-training
https://github.com/topel/SGLThresh
공식 코드Fast threshold optimization for multi-label audio tagging using Surrogate gradient learning
https://github.com/vanderschaarlab/deepgenerativesymbolicregression
공식 코드https://github.com/vpulab/spin
공식 코드https://github.com/weituo12321/PREVALENT
공식 코드Towards Learning a Generic Agent for Vision-and-Language Navigation via Pre-training
https://github.com/wrld/visual_navigation_pose_estimation
공식 코드A Visual Navigation Perspective for Category-Level Object Pose Estimation
https://github.com/wsakobe/cylindertag
공식 코드https://github.com/wz0919/scalevln
공식 코드https://github.com/xarakas/spheroid-tnf-v2-emews
공식 코드https://github.com/xbrlej/fipomdp
공식 코드https://github.com/xiaolisean/cognitive-map
공식 코드SeanNet: Semantic Understanding Network for Localization Under Object Dynamics
https://github.com/yaaig-ufrgs/neuralfastdownward-fsm
공식 코드Understanding Sample Generation Strategies for Learning Heuristic Functions in Classical Planning
https://github.com/yanweiw/noise2ptz
공식 코드Visual Pre-training for Navigation: What Can We Learn from Noise?
https://github.com/yanyuanqiao/hop-vln
공식 코드HOP: History-and-Order Aware Pre-training for Vision-and-Language Navigation
https://github.com/yanyuanqiao/vln-petl
공식 코드VLN-PETL: Parameter-Efficient Transfer Learning for Vision-and-Language Navigation
https://github.com/yiconghong/ego2map-navit
공식 코드Learning Navigational Visual Representations with Semantic Map Supervision
https://github.com/yix8/visualplanning
공식 코드https://github.com/yramon/LimeCounterfactual
공식 코드Counterfactual Explanation Algorithms for Behavioral and Textual Data
https://github.com/yyf17/saavn
공식 코드https://github.com/zd11024/NaviLLM
공식 코드https://github.com/zhufengdaaa/soon
공식 코드SOON: Scenario Oriented Object Navigation with Graph-based Exploration
https://github.com/zjulihongxin/memonav
공식 코드https://gitlab.com/sustainable-continuum-monitoring/self-adaptive-moop
공식 코드An Energy-Aware Approach to Design Self-Adaptive AI-based Applications on the Edge
https://github.com/329tyson/fai-ssl-challenge
Scaling and Benchmarking Self-Supervised Visual Representation Learning
https://github.com/CAVED123/TD-DPPO
Target-driven Visual Navigation in Indoor Scenes using Deep Reinforcement Learning
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.