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cfcamo
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Model Details
Model Provider
cfcamo
Model Tree
cfcamo/cfcamo-sft-4b
Input Modalities
Output Modalities
Supported Functionality
python
from transformers import AutoModelForImageTextToText, AutoProcessorfrom peft import PeftModelbase = AutoModelForImageTextToText.from_pretrained("cfcamo/cfcamo-sft-4b", torch_dtype="auto", device_map="auto",).eval()model = PeftModel.from_pretrained(base, "cfcamo/cfcamo-rl-lora").eval()processor = AutoProcessor.from_pretrained("cfcamo/cfcamo-sft-4b")# (use the same detect-or-abstain prompt as cfcamo-rl-full — see that model card)
Or merge into a single standalone HF model:
bash
python scripts/eval/merge_lora.py \--base checkpoints/cfcamo-sft-4b \--lora checkpoints/cfcamo-rl-lora \--out checkpoints/cfcamo-rl-lora-merged
bash
git clone https://github.com/suhang2000/CFCamo && cd CFCamopip install -e ".[eval]"huggingface-cli download cfcamo/cfcamo-sft-4b --local-dir checkpoints/cfcamo-sft-4bhuggingface-cli download cfcamo/cfcamo-rl-lora --local-dir checkpoints/cfcamo-rl-lorahuggingface-cli download --repo-type dataset cfcamo/CF-COD --local-dir data/cfcod# (place upstream COD into data/cfcod/<source>/{Imgs,GT}/ — see dataset card)python scripts/eval/merge_lora.py \--base checkpoints/cfcamo-sft-4b \--lora checkpoints/cfcamo-rl-lora \--out checkpoints/cfcamo-rl-lora-mergedpython scripts/eval/eval_cfcod.py \--cf-manifest data/cfcod/test/cf_manifest_test.jsonl \--data-root data/cfcod \--models "CFCamo-LoRA=checkpoints/cfcamo-rl-lora-merged" \--out-dir results/cfcod_eval
bibtex
@article{li2026cfcamo,title = {{CFCamo}: A Counterfactual Detect-or-Abstain Framework for Camouflaged Object Detection},author = {Li, Suhang and Yoshie, Osamu and Ieiri, Yuya},journal = {arXiv preprint arXiv:2606.11231},year = {2026}}