dataset

README.md

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+---
+license: mit
+---
+
+# [CVPR 2025] GFS-VL: Generalized Few-shot 3D Point Cloud Segmentation with Vision-Language Model
+
+## Overview
+
+GFS-VL is a novel framework proposed in our CVPR 2025 paper: [**Generalized Few-shot 3D Point Cloud Segmentation with Vision-Language Model**](https://arxiv.org/pdf/2503.16282).
+
+Our approach leverages the synergy between:
+- **Dense but noisy pseudo-labels** from 3D Vision-Language Models
+- **Precise yet sparse few-shot samples**
+
+by maximizing the strengths of both data sources for effective generalized few-shot 3D point cloud segmentation.
+
+## Benchmark Datasets
+
+In the papaer, we introduce **two new challenging GFS-PCS benchmarks** with diverse novel classes for comprehensive generalization evaluation.
+
+This repository contains the **two novel GFS-PCS benchmarks**:
+- **[ScanNet200](https://github.com/ScanNet/ScanNet)**: Our GFS benchmark based on ScanNet200, also including the original ScanNet labels
+- **[ScanNet++](https://github.com/scannetpp/scannetpp)**: Our GFS benchmark based on ScanNet++
+
+These benchmarks lay a solid foundation for real-world GFS-PCS advancements.
+
+> **Note**: To use these datasets, you must first agree to the terms and apply for access. Please refer to [ScanNet200](https://github.com/ScanNet/ScanNet?tab=readme-ov-file#scannet-data) and [ScanNet++](https://kaldir.vc.in.tum.de/scannetpp/register) for instructions.
+
+## Dataset Structure
+
+Each dataset in this repository is organized as follows:
+- **Splits**: Train, validation, and test sets.
+- **Registration Data List**: For both 1-shot and 5-shot scenarios, each includes five randomly generated registration sets.
+
+## Usage
+
+For detailed usage instructions, model implementation, and training code, please refer to our [GitHub repository](https://github.com/ZhaochongAn/GFS-VL).
+
+## Pre-trained Model Weights
+
+The complete GFS-VL pre-trained model weights can be found in our [model weights repository](https://huggingface.co/ZhaochongAn/GFS_VL).
+
+## Citation
+
+If you find our work useful, please consider citing our paper:
+
+```bibtex
+@inproceedings{an2025generalized,
+  title={Generalized Few-shot 3D Point Cloud Segmentation with Vision-Language Model},
+  author={An, Zhaochong and Sun, Guolei and Liu, Yun and Li, Runjia and Han, Junlin and Konukoglu, Ender and Belongie, Serge},
+  booktitle=CVPR,
+  year={2025}
+}
+```

ScanNet200.tar.gz

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+size 5978373243

ScanNetpp.tar.gz

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