SOTAVerified

Vision and Language Navigation

Papers

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Showing 101–150 of 223 papers

TitleStatusHype
Look Before You Leap: Bridging Model-Free and Model-Based Reinforcement Learning for Planned-Ahead Vision-and-Language NavigationCode0
FOAM: A Follower-aware Speaker Model For Vision-and-Language NavigationCode0
Spatially-Aware Speaker for Vision-and-Language Navigation Instruction GenerationCode0
Speaker-Follower Models for Vision-and-Language NavigationCode0
Diagnosing Vision-and-Language Navigation: What Really MattersCode0
CLEAR: Improving Vision-Language Navigation with Cross-Lingual, Environment-Agnostic RepresentationsCode0
Augmented Commonsense Knowledge for Remote Object GroundingCode0
Chasing Ghosts: Instruction Following as Bayesian State TrackingCode0
Tactical Rewind: Self-Correction via Backtracking in Vision-and-Language NavigationCode0
Into the Unknown: Generating Geospatial Descriptions for New EnvironmentsCode0
LOViS: Learning Orientation and Visual Signals for Vision and Language NavigationCode0
DELAN: Dual-Level Alignment for Vision-and-Language Navigation by Cross-Modal Contrastive LearningCode0
Narrowing the Gap between Vision and Action in NavigationCode0
The Regretful Agent: Heuristic-Aided Navigation through Progress EstimationCode0
Zero-Shot Vision-and-Language Navigation with Collision Mitigation in Continuous Environment—0
A^2Nav: Action-Aware Zero-Shot Robot Navigation by Exploiting Vision-and-Language Ability of Foundation Models—0
Aerial Vision-and-Language Navigation via Semantic-Topo-Metric Representation Guided LLM Reasoning—0
Aerial Vision-and-Language Navigation with Grid-based View Selection and Map Construction—0
AIGeN: An Adversarial Approach for Instruction Generation in VLN—0
A New Path: Scaling Vision-and-Language Navigation with Synthetic Instructions and Imitation Learning—0
Anticipating the Unseen Discrepancy for Vision and Language Navigation—0
ArraMon: A Joint Navigation-Assembly Instruction Interpretation Task in Dynamic Environments—0
Beyond the Nav-Graph: Vision-and-Language Navigation in Continuous Environments – Extended Abstract—0
Causality-based Cross-Modal Representation Learning for Vision-and-Language Navigation—0
CLIP-Nav: Using CLIP for Zero-Shot Vision-and-Language Navigation—0
Continual Vision-and-Language Navigation—0
Contrast Sets for Evaluating Language-Guided Robot Policies—0
COSMO: Combination of Selective Memorization for Low-cost Vision-and-Language Navigation—0
Counterfactual Vision-and-Language Navigation via Adversarial Path Sampling—0
Counterfactual Vision-and-Language Navigation via Adversarial Path Sampler—0
Counterfactual Vision-and-Language Navigation: Unravelling the Unseen—0
CrossMap Transformer: A Crossmodal Masked Path Transformer Using Double Back-Translation for Vision-and-Language Navigation—0
Curriculum Learning for Vision-and-Language Navigation—0
DAP: Domain-aware Prompt Learning for Vision-and-Language Navigation—0
Diagnosing Vision-and-Language Navigation: What Really Matters—0
Disrupting Vision-Language Model-Driven Navigation Services via Adversarial Object Fusion—0
Does VLN Pretraining Work with Nonsensical or Irrelevant Instructions?—0
DOPE: Dual Object Perception-Enhancement Network for Vision-and-Language Navigation—0
Do Visual Imaginations Improve Vision-and-Language Navigation Agents?—0
Endowing Embodied Agents with Spatial Reasoning Capabilities for Vision-and-Language Navigation—0
Evaluating Explanation Methods for Vision-and-Language Navigation—0
Evolving Graphical Planner: Contextual Global Planning for Vision-and-Language Navigation—0
Explicit Object Relation Alignment for Vision and Language Navigation—0
Explore the Potential Performance of Vision-and-Language Navigation Model: a Snapshot Ensemble Method—0
Explore the Potential Performance of Vision-and-Language Navigation Model: a Snapshot Ensemble Method—0
Extended Abstract: Improving Vision-and-Language Navigation with Image-Text Pairs from the Web—0
Fine-Grained Alignment in Vision-and-Language Navigation through Bayesian Optimization—0
FlexVLN: Flexible Adaptation for Diverse Vision-and-Language Navigation Tasks—0
Generative Language-Grounded Policy in Vision-and-Language Navigation with Bayes' Rule—0
Graph based Environment Representation for Vision-and-Language Navigation in Continuous Environments—0
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All datasetsVLN ChallengeTouchdown DatasetRxRmap2seqRoom2Roomrobo-vln

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1humansuccess0.86—Unverified
2Lilysuccess0.79—Unverified
3Airbertsuccess0.78—Unverified
4explore@40 beam-searchsuccess0.74—Unverified
5Global Normalizationsuccess0.74—Unverified
6VLN-Bertsuccess0.73—Unverified
7BEVBertsuccess0.73—Unverified
8GMapsuccess0.73—Unverified
9Gloabl Normalization pre-exploresuccess0.73—Unverified
10FOAM-Beam Searchsuccess0.72—Unverified
#ModelMetricClaimedVerifiedStatus
1FLAMETask Completion (TC)40.2—Unverified
2ORAR + junction type + heading deltaTask Completion (TC)29.1—Unverified
3ORARTask Completion (TC)24.2—Unverified
4ARC + L2STOPTask Completion (TC)16.68—Unverified
5VLN Transformer +M-50 +styleTask Completion (TC)16.2—Unverified
6VLN TransformerTask Completion (TC)14.9—Unverified
7ARCTask Completion (TC)14.13—Unverified
8Retouch-RConcatTask Completion (TC)12.8—Unverified
9Gated Attention (GA)Task Completion (TC)11.9—Unverified
10RConcatTask Completion (TC)11.8—Unverified
#ModelMetricClaimedVerifiedStatus
1MARVALndtw66.76—Unverified
2EnvEdit-PTndtw64.61—Unverified
3HAMTndtw59.94—Unverified
4CLEAR-CLIPndtw53.69—Unverified
5Monolingual Baselinendtw41.05—Unverified
6Multilingual Baselinendtw36.81—Unverified
#ModelMetricClaimedVerifiedStatus
1FLAMETask Completion (TC)52.44—Unverified
2ORAR + junction type + heading deltaTask Completion (TC)46.7—Unverified
3ORARTask Completion (TC)45.1—Unverified
4Gated AttentionTask Completion (TC)17—Unverified
5RconcatTask Completion (TC)14.7—Unverified
#ModelMetricClaimedVerifiedStatus
1R2R+EnvDropspl0.61—Unverified
2RCM + SILspl0.59—Unverified
3Tactical Rewind - shortspl0.41—Unverified
#ModelMetricClaimedVerifiedStatus
1Hierarchical Cross-Modal AgentSPL (Sucess Weighted by Path Length)0.4—Unverified