| --- |
| license: cc-by-nc-4.0 |
| library_name: transformers |
| pipeline_tag: image-segmentation |
| tags: |
| - pixdlm |
| - cvpr-2026 |
| - uav |
| - reasoning-segmentation |
| - remote-sensing |
| - compute-transparency |
| datasets: |
| - WhynotHug/DRSeg |
| --- |
| |
| # PixDLM |
|
|
| This is the HuggingFace model card for PixDLM. The full source release is in the |
| repository root. See the root `README.md` for setup, data preparation, |
| evaluation, and training commands. |
|
|
| ## Links |
|
|
| - Paper: https://arxiv.org/abs/2604.15670 |
| - Dataset: https://huggingface.co/datasets/WhynotHug/DRSeg |
|
|
| ## Metrics |
|
|
| | Reasoning type | gIoU | cIoU | |
| | --- | ---: | ---: | |
| | Attribute | 62.80 | 62.84 | |
| | Scene | 61.75 | 64.03 | |
| | Spatial | 62.51 | 62.80 | |
|
|
| ## Citation |
|
|
| ```bibtex |
| @inproceedings{ke2026pixdlm, |
| title={PixDLM: A Dual-Path Multimodal Language Model for UAV Reasoning Segmentation}, |
| author={Ke, Shuyan and Mei, Yifan and Wu, Changli and Zheng, Yonghan and Ji, Jiayi and Cao, Liujuan and Ji, Rongrong}, |
| booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition}, |
| year={2026} |
| } |
| ``` |
|
|
