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Vision and Language Navigation
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/mrzihan/hnr-vln
공식 코드Lookahead Exploration with Neural Radiance Representation for Continuous Vision-Language Navigation
https://github.com/patzhuang/lsa
공식 코드https://github.com/peihaochen/ws-mgmap
공식 코드Weakly-Supervised Multi-Granularity Map Learning for Vision-and-Language Navigation
https://github.com/pendulumclock/flightgpt
공식 코드https://github.com/peteanderson80/Matterport3DSimulator
공식 코드https://github.com/pluslabnlp/follower_aware_speaker
공식 코드FOAM: A Follower-aware Speaker Model For Vision-and-Language Navigation
https://github.com/qizhust/esceme
공식 코드ESceme: Vision-and-Language Navigation with Episodic Scene Memory
https://github.com/raphael-sch/map2seq_vln
공식 코드Analyzing Generalization of Vision and Language Navigation to Unseen Outdoor Areas
https://github.com/raphael-sch/velma
공식 코드VELMA: Verbalization Embodiment of LLM Agents for Vision and Language Navigation in Street View
https://github.com/ravenkiller/mla
공식 코드https://github.com/sled-group/dorothie
공식 코드https://github.com/vinceouti/citynavagent
공식 코드https://github.com/webvln/webvln
공식 코드https://github.com/weituo12321/PREVALENT
공식 코드Towards Learning a Generic Agent for Vision-and-Language Navigation via Pre-training
https://github.com/weixi-feng/uln
공식 코드https://github.com/wz0919/scalevln
공식 코드https://github.com/xiangyangli20/kerm
공식 코드KERM: Knowledge Enhanced Reasoning for Vision-and-Language Navigation
https://github.com/xjli/r2r_vln
공식 코드Robust Navigation with Language Pretraining and Stochastic Sampling
https://github.com/xyz9911/FLAME
공식 코드FLAME: Learning to Navigate with Multimodal LLM in Urban Environments
https://github.com/yanyuanqiao/hop-vln
공식 코드HOP: History-and-Order Aware Pre-training for Vision-and-Language Navigation
https://github.com/yanyuanqiao/mic
공식 코드March in Chat: Interactive Prompting for Remote Embodied Referring Expression
https://github.com/yanyuanqiao/vln-petl
공식 코드VLN-PETL: Parameter-Efficient Transfer Learning for Vision-and-Language Navigation
https://github.com/yichengduan/oobvlm
공식 코드https://github.com/yiconghong/discrete-continuous-vln
공식 코드https://github.com/yiconghong/ego2map-navit
공식 코드Learning Navigational Visual Representations with Semantic Map Supervision
https://github.com/yoark/vln-behave
공식 코드Behavioral Analysis of Vision-and-Language Navigation Agents
https://github.com/yuankaiqi/orist
공식 코드https://github.com/zhangpingrui/adaptive-text-dreamer
공식 코드Cross from Left to Right Brain: Adaptive Text Dreamer for Vision-and-Language Navigation
https://github.com/zhangybzbo/EnvBiasVLN
공식 코드Diagnosing the Environment Bias in Vision-and-Language Navigation
https://github.com/zhangyuejoslin/VLN-Survey-with-Foundation-Models
공식 코드Vision-and-Language Navigation Today and Tomorrow: A Survey in the Era of Foundation Models
https://github.com/CAVED123/regretful-agent
The Regretful Agent: Heuristic-Aided Navigation through Progress Estimation
https://github.com/GT-RIPL/robo-vln
Beyond the Nav-Graph: Vision-and-Language Navigation in Continuous Environments
https://github.com/VegB/VLN-Transformer
Touchdown: Natural Language Navigation and Spatial Reasoning in Visual Street Environments
https://github.com/YuankaiQi/REVERIE
REVERIE: Remote Embodied Visual Referring Expression in Real Indoor Environments
https://github.com/ayusefi/Localization-Papers
Self-Monitoring Navigation Agent via Auxiliary Progress Estimation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.