DeCoNav Release Assets

This repository contains the external model and perception assets required by the DeCoNav evaluator. It is designed to be downloaded into the assets/ directory of the DeCoNav source repository.

Contents

models/
  deconav_nav_policy/       # Fine-tuned Qwen3-VL navigation policy
  deconav_eva_clip.pt       # EVA-CLIP visual encoder checkpoint
perception/
  deconav_clip.pt           # Fine-tuned object-recognition checkpoint
  deconav_clip_thresholds.json
  deconav_room_classifier/
    config.json
    best_model.pt

Training state, optimizer state, RNG state, scheduler files, and conversion utilities are intentionally excluded. The source repository validates every required file before evaluation starts.

Usage

hf download Sunyao/deconav --repo-type model --revision REVISION \
  --local-dir assets

Replace REVISION with the immutable revision recorded in the DeCoNav ASSET_MANIFEST.json. The runtime uses local files only and does not enable trust_remote_code.

Intended Use

These assets are intended for research reproduction of the five DeCoNav evaluation modes on the released task manifest. They are not a general-purpose robot-control system and must not be used as a safety-critical controller.

License

The navigation checkpoint is a derivative of Qwen model materials and is distributed under the Qwen Research License included as LICENSE. That license contains non-commercial, redistribution, attribution, and other use conditions. EVA-CLIP and other perception components also retain their upstream terms. The MIT license of the DeCoNav source repository does not relicense these weights.

Evaluation

The published 100-task Full reference result is BSR 40.0%, OSR 50.0%, ISR 58.5%, and SPL 0.369752. Detailed result provenance is published with the matching DeCoNav source release.