Image Segmentation
Transformers
Safetensors
English
calico
text-generation
computer-vision
semantic-segmentation
co-segmentation
part-segmentation
multi-image-reasoning
vision-language
Instructions to use PLAN-Lab/CALICO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PLAN-Lab/CALICO with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="PLAN-Lab/CALICO")# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("PLAN-Lab/CALICO", dtype="auto") - Notebooks
- Google Colab
- Kaggle
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# CALICO
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CALICO is a large vision-language model for part-focused semantic co-segmentation. Given a pair of images and a natural-language prompt, CALICO identifies common objects, common parts, or unique parts and predicts segmentation masks for the referenced regions.
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# CALICO [CVPR 2025]
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CALICO is a large vision-language model for part-focused semantic co-segmentation. Given a pair of images and a natural-language prompt, CALICO identifies common objects, common parts, or unique parts and predicts segmentation masks for the referenced regions.
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