Add pipeline tag and library name to metadata
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by nielsr HF Staff - opened
README.md
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## GOOSE-M2F: Adapting Mask2Former for High-Fidelity, Long-Tailed Fine-Grained Semantic Segmentation in Unstructured Outdoor Terrain
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**Jyothiraditya Lingam, Nikhileswara Rao Sulake, Sai Manikanta Eswar Machara**
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### 1. Setup
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```bash
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git clone https://github.com/Aditya-Lingam-9000/GOOSE-
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cd GOOSE-
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conda create -n goose python=3.11 -y && conda activate goose
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pip install torch torchvision --index-url https://download.pytorch.org/whl/cu121
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If you use this work, please cite:
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```bibtex
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@techreport{
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title = {GOOSE-M2F: Adapting Mask2Former for High-Fidelity, Long-Tailed Fine-Grained Semantic Segmentation in Unstructured Outdoor Terrain},
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author = {
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year = {2026},
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institution = {
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}
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```
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- **Mask2Former**: Cheng et al., *Masked-Attention Mask Transformer for Universal Image Segmentation*, CVPR 2022
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- **Swin Transformer**: Liu et al., ICCV 2021
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- **CBAM**: Woo et al., *Convolutional Block Attention Module*, ECCV 2018
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- **DeepLab**: Chen et al., *Rethinking Atrous Convolution*, TPAMI 2017
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-
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---
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---
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pipeline_tag: image-segmentation
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library_name: transformers
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---
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## GOOSE-M2F: Adapting Mask2Former for High-Fidelity, Long-Tailed Fine-Grained Semantic Segmentation in Unstructured Outdoor Terrain
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**Jyothiraditya Lingam, Nikhileswara Rao Sulake, Sai Manikanta Eswar Machara**
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### 1. Setup
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```bash
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git clone https://github.com/Aditya-Lingam-9000/GOOSE-M2F
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cd GOOSE-M2F
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conda create -n goose python=3.11 -y && conda activate goose
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pip install torch torchvision --index-url https://download.pytorch.org/whl/cu121
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If you use this work, please cite:
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```bibtex
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@techreport{lingam2026goosem2f,
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title = {GOOSE-M2F: Adapting Mask2Former for High-Fidelity, Long-Tailed Fine-Grained Semantic Segmentation in Unstructured Outdoor Terrain},
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author = {Jyothiraditya Lingam and Nikhileswara Rao Sulake and Sai Manikanta Eswar Machara},
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year = {2026},
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institution = {Rajiv Gandhi University of Knowledge Technologies (RGUKT)}
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}
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```
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- **Mask2Former**: Cheng et al., *Masked-Attention Mask Transformer for Universal Image Segmentation*, CVPR 2022
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- **Swin Transformer**: Liu et al., ICCV 2021
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- **CBAM**: Woo et al., *Convolutional Block Attention Module*, ECCV 2018
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- **DeepLab**: Chen et al., *Rethinking Atrous Convolution*, TPAMI 2017
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