Update pipeline tag and metadata

This PR updates the model card metadata by changing the `pipeline_tag` to `other`, as the model is intended for 3D point cloud analysis rather than image feature extraction. It also improves the model card description with a brief overview of PointCRA and ensures the GitHub repository and paper are properly linked.

README.md

@@ -1,20 +1,26 @@
 ---
-license: mit
 language:
 - en
-pipeline_tag: image-feature-extraction
+license: mit
+pipeline_tag: other
 tags:
 - PointCloud
 - PointCloudAnalysis
 - PointCloudSegmentation
 ---
+
+# PointCRA
+
 This is the official code repository for **PointCRA**, a point cloud analysis network proposed in our paper:
 
-> **Channel-Level Relation to Attentive Aggregation with Neighborhood-Homogeneity Constraint for Point Cloud Analysis** [Arxiv](https://arxiv.org/abs/2605.02357)
+> **Channel-Level Relation to Attentive Aggregation with Neighborhood-Homogeneity Constraint for Point Cloud Analysis** [[Arxiv](https://arxiv.org/abs/2605.02357)] [[GitHub](https://github.com/AGENT9717/PointCRA)]
+
+PointCRA introduces a novel network with a channel-level metric-based enhancement mechanism. Its core idea is to introduce temporal trend variation as a new evaluation dimension to avoid information loss caused by weight dimension collapse in existing spatial and channel attention mechanisms. The method leverages neighborhood homogeneity for weight calibration, offering an interpretable and efficient framework for tasks like 3D segmentation and classification.
 
-Codes are available on [GitHub](https://github.com/AGENT9717/PointCRA)  
+## Citation
 
 If you find this work useful, please cite our paper:
+
 ```bibtex
 @article{shi2025pointcra,
   title     = {Channel-Level Relation to Attentive Aggregation with Neighborhood-Homogeneity Constraint for Point Cloud Analysis},