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

Showing 201225 of 316 papers

TitleStatusHype
Simultaneous Navigation and Construction Benchmarking EnvironmentsCode1
MaAST: Map Attention with Semantic Transformersfor Efficient Visual Navigation0
A Survey of Embodied AI: From Simulators to Research Tasks0
Learning a State Representation and Navigation in Cluttered and Dynamic Environments0
A Pose-only Solution to Visual Reconstruction and NavigationCode1
Sequential Place Learning: Heuristic-Free High-Performance Long-Term Place RecognitionCode1
Hierarchical and Partially Observable Goal-driven Policy Learning with Goals Relational GraphCode1
Learning for Visual Navigation by Imagining the Success0
Scene Retrieval for Contextual Visual Mapping0
Imitation Learning with Human Eye Gaze via Multi-Objective PredictionCode0
End-to-End Egospheric Spatial MemoryCode1
Learned Camera Gain and Exposure Control for Improved Visual Feature Detection and Matching0
A Pipeline for Vision-Based On-Orbit Proximity Operations Using Deep Learning and Synthetic Imagery0
Visual Graph Memory With Unsupervised Representation for Visual NavigationCode1
Pose Invariant Topological Memory for Visual Navigation0
Semantic Audio-Visual Navigation0
A Recurrent Vision-and-Language BERT for NavigationCode1
DeepSeqSLAM: A Trainable CNN+RNN for Joint Global Description and Sequence-based Place RecognitionCode1
A Few Shot Adaptation of Visual Navigation Skills to New Observations using Meta-Learning0
Unsupervised Domain Adaptation for Visual Navigation0
On Embodied Visual Navigation in Real Environments Through HabitatCode0
Visual Navigation in Real-World Indoor Environments Using End-to-End Deep Reinforcement LearningCode1
SHREC 2020 track: 6D Object Pose Estimation0
Embodied Visual Navigation with Automatic Curriculum Learning in Real Environments0
Multimodal Aggregation Approach for Memory Vision-Voice Indoor Navigation with Meta-Learning0
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Benchmark Results

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