BiRefNet DIS5K TR TEs ONNX

--- library_name: transformers.js tags: - background-removal - mask-generation - Dichotomous Image Segmentation - Camouflaged Object Detection - Salient Object Detection repo_url: https://github.com/ZhengPeng7/BiRefNet pipeline_tag: image-segmentation license: mit base_model: - ZhengPeng7/BiRefNet-DIS5K-TR_TEs --- <h1 align="center">Bilateral Reference for High-Resolution Dichotomous Image Segmentation</h1> <div align='center'> <a href='https://scholar.google.com/citations?user=TZRzWOsAAAAJ' target='_blank'><strong>Peng Zheng</strong></a>^1,4,5,6,&thinsp; <a href='https://scholar.google.com/citations?user=0uPb8MMAAAAJ' target='_blank'><strong>Dehong Gao</strong></a>²,&thinsp; <a href='https://scholar.google.com/citations?user=kakwJ5QAAAAJ' target='_blank'><strong>Deng-Ping Fan</strong></a>^1*,&thinsp; <a href='https://scholar.google.com/citations?user=9cMQrVsAAAAJ' target='_blank'><strong>Li Liu</strong></a>³,&thinsp; <a href='https://scholar.google.com/citations?user=qQP6WXIAAAAJ' target='_blank'><strong>Jorma Laaksonen</strong></a>⁴,&thinsp; <a href='https://scholar.google.com/citations?user=pw_0Z_UAAAAJ' target='_blank'><strong>Wanli Ouyang</strong></a>⁵,&thinsp; <a href='https://scholar.google.com/citations?user=stFCYOAAAAAJ' target='_blank'><strong>Nicu Sebe</strong></a>⁶ </div> <div align='center'> ¹Nankai University&ensp; ²Northwestern Polytechnical University&ensp; ³National University of Defense Technology&ensp; ⁴Aalto University&ensp; ⁵Shanghai AI Laboratory&ensp; ⁶University of Trento&ensp; </div> | *DIS-Sample_1* | *DIS-Sample_2* | | :------------------------------: | :-------------------------------: | | <img src="https://drive.google.com/thumbnail?id=1ItXaA26iYnE8XQ_GgNLy71MOWePoS2-g&sz=w400" /> | <img src="https://drive.google.com/thumbnail?id=1Z-esCujQF_uEa_YJjkibc3NUrW4aR_d4&sz=w400" /> | For more information, check out the official [repository](https://github.com/ZhengPeng7/BiRefNet). ## Usage (Transformers.js) If you haven't already, you can install the [Transformers.js](https://huggingface.co/docs/transformers.js) JavaScript library from [NPM](https://www.npmjs.com/package/@xenova/transformers) using: ```bash npm i @huggingface/transformers ``` You can then use the mode...