Library/JanusVLN
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MIV-XJTU/JanusVLN

JanusVLN

[ICLR2026] Official implementation for "JanusVLN: Decoupling Semantics and Spatiality with Dual Implicit Memory for Vision-Language Navigation"

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MIV-XJTU

MIV-XJTU

MIV-XJTU • individual

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525

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Forks

37

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Created

Sep 26, 2025

Project creation date

README Summary

JanusVLN is the official implementation of a vision-language navigation model that uses dual implicit memory to separate semantic and spatial information processing. The approach aims to improve navigation performance by decoupling these two critical aspects of understanding in embodied AI tasks. This work was accepted to ICLR 2026 and represents an advancement in how AI agents process multimodal instructions for navigation.

AI Dev Skills

Unmapped

multimodalcomputer-visionnatural-language-processingroboticsnavigationmultimodal-ai

Tags

multimodalcomputer-visionnatural-language-processingroboticsnavigationmultimodal-aiembodied-aivision-language-modelsspatial-reasoningsemantic-understandingmemory-networks

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Recent Activity

Updated 2 months ago

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90 Days

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Quality

research
Quality
high
Maturity
research

Categories

Dev Tools & AutomationPrimaryFoundation ModelsComputer VisionRoboticsMultimodal AIOther AI / ML

PM Skills

Developer Platform

Languages

Python100.0%

Timeline

Project created
Sep 26, 2025
Forked
Mar 31, 2026
Your last push
2 months ago
Upstream last push
2 months ago
Tracked since
Jan 26, 2026

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