CARVE – Class-Agnostic Retail Segmentation & Verification Engine

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Authors: Anonymous
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Abstract

This repository provides the full experimental code and data for the CARVE (Class-Agnostic Retail Segmentation & Verification Engine) paper. It implements the CARVE pipeline that composes GroundingDINO, SAM2, and a CLIP-based verifier for open-vocabulary product discovery, alongside a YOLOv11 segmentation baseline. The release includes scripts for data preprocessing, CLIP cutout generation and fine-tuning, YOLO training, and end-to-end evaluation, enabling both re-running published results and retraining models from scratch.

Fields of Study & Subjects

Advanced Neural Network Applications Multimodal Machine Learning Applications Advanced Image and Video Retrieval Techniques

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
15 January 2026
Language
EN