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AdaOcc checkpoints

AdaOcc: Adaptive 3D Occupancy Prediction for Embodied Tasks

Project page / code / setup instructions: https://github.com/wangjl-nb/AdaOcc

This Hugging Face repository only hosts the public AdaOcc checkpoint assets. It does not include OccScanNet data, generated labels/depth maps, RADIO weights, or the Depth-Anything-V2 fine-tuned checkpoint.

Uploaded files

file	description	target path in the AdaOcc repo
`pretrain/fusion_pretrain_model.pth`	Slim fusion pretrain initializer for training AdaOcc from scratch.	`pretrain/fusion_pretrain_model.pth`
`checkpoints/adaocc_online_depth_occscannet_mini_epoch200.pth`	Trained AdaOcc online-depth OccScanNet-mini epoch-200 checkpoint for direct evaluation.	`checkpoints/adaocc_online_depth_occscannet_mini_epoch200.pth`
`configs/radio_occscannet_mini_training_snapshot.py`	Config snapshot from the released training run.	reference only
`logs/online_depth_occscannet_mini_epoch200.log`	Training/evaluation log for the released checkpoint.	reference only
`SHA256SUMS`	Checksums for hosted assets.	reference only

The released evaluation checkpoint reports mIoU=58.49 and IoU=65.49 on OccScanNet-mini; see the uploaded log for the full validation line.

Download

Run from the AdaOcc GitHub repository root:

hf download wjldragon/AdaOcc \
  pretrain/fusion_pretrain_model.pth \
  checkpoints/adaocc_online_depth_occscannet_mini_epoch200.pth \
  --local-dir .

Use --local-dir . so the checkpoint paths are restored exactly under pretrain/ and checkpoints/. Do not use --local-dir pretrain or --local-dir checkpoints, which would create nested paths such as pretrain/pretrain/....

Fusion pretrain note

pretrain/fusion_pretrain_model.pth is a slim OPUS-derived initializer. It keeps the sparse middle-encoder weights used by AdaOcc's public config (pts_middle_encoder.*) and removes unused branches. The extraction script is in the GitHub project at scripts/extract_adaocc_fusion_pretrain.py.

For data preparation, environment setup, training, evaluation, and upstream asset instructions, please use the GitHub project: https://github.com/wangjl-nb/AdaOcc.

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