SOTAVerified

Visual Navigation

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

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 226–250 of 316 papers

TitleStatusHype
Environment Predictive Coding for Visual Navigation—0
Benchmarking Augmentation Methods for Learning Robust Navigation Agents: the Winning Entry of the 2021 iGibson Challenge—0
Deep Visual Navigation under Partial Observability—0
Underwater inspection and intervention dataset—0
Deep Learning for Embodied Vision Navigation: A Survey—0
Learned Visual Navigation for Under-Canopy Agricultural Robots—0
Predictive Control Using Learned State Space Models via Rolling Horizon Evolution—0
Robot in a China Shop: Using Reinforcement Learning for Location-Specific Navigation Behaviour—0
Differentiable SLAM-net: Learning Particle SLAM for Visual Navigation—0
On Lottery Tickets and Minimal Task Representations in Deep Reinforcement Learning—0
MaAST: Map Attention with Semantic Transformersfor Efficient Visual Navigation—0
A Survey of Embodied AI: From Simulators to Research Tasks—0
Learning a State Representation and Navigation in Cluttered and Dynamic Environments—0
Learning for Visual Navigation by Imagining the Success—0
Imitation Learning with Human Eye Gaze via Multi-Objective PredictionCode0
Scene Retrieval for Contextual Visual Mapping—0
Learned Camera Gain and Exposure Control for Improved Visual Feature Detection and Matching—0
A Pipeline for Vision-Based On-Orbit Proximity Operations Using Deep Learning and Synthetic Imagery—0
Pose Invariant Topological Memory for Visual Navigation—0
Semantic Audio-Visual Navigation—0
A Few Shot Adaptation of Visual Navigation Skills to New Observations using Meta-Learning—0
Unsupervised Domain Adaptation for Visual Navigation—0
On Embodied Visual Navigation in Real Environments Through HabitatCode0
SHREC 2020 track: 6D Object Pose Estimation—0
Embodied Visual Navigation with Automatic Curriculum Learning in Real Environments—0
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All datasetsCooperative Vision-and-Dialogue NavigationR2RSOON TestAI2-THORDmlab-30Help, Anna! (HANNA)

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1NaviLLMdist_to_end_reduction7.9—Unverified
2VLN-PETLdist_to_end_reduction6.13—Unverified
3early to beddist_to_end_reduction6.03—Unverified
4HAMTdist_to_end_reduction5.58—Unverified
5s-agent (NDH-Full)dist_to_end_reduction5.27—Unverified
6BabyWalk (r2r-pretrain)dist_to_end_reduction4.46—Unverified
7Environment-agnostic Multitask Learningdist_to_end_reduction3.91—Unverified
8BabyWalkdist_to_end_reduction3.65—Unverified
9Test2-NDHdist_to_end_reduction3.44—Unverified
10SCoAdist_to_end_reduction3.37—Unverified
#ModelMetricClaimedVerifiedStatus
1SUSAspl0.64—Unverified
2Meta-Explorespl0.61—Unverified
3NaviLLMspl0.6—Unverified
4BEV-BERTspl0.6—Unverified
5HOPspl0.59—Unverified
6DUETspl0.58—Unverified
7VLN-PETLspl0.58—Unverified
8VLN-BERTspl0.57—Unverified
9Prevalentspl0.51—Unverified
10RCM+SIL(no early exploration)spl0.38—Unverified
#ModelMetricClaimedVerifiedStatus
1AutoVLNNav-SPL27.83—Unverified
2NaviLLMNav-SPL26.26—Unverified
3Meta-ExploreNav-SPL25.8—Unverified
4SUSANav-SPL25.47—Unverified
5DUETNav-SPL21.42—Unverified
6GBENav-SPL13.3—Unverified
#ModelMetricClaimedVerifiedStatus
1MVV-INSPL (All)17.27—Unverified
2SAVNSPL (All)16.15—Unverified
#ModelMetricClaimedVerifiedStatus
1PopArt-IMPALAMedium Human-Normalized Score72.8—Unverified
#ModelMetricClaimedVerifiedStatus
1Prevalentspl28.72—Unverified