diff --git a/readme.md b/readme.md
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--- a/readme.md
+++ b/readme.md
@@ -17,13 +17,14 @@ In this repo, we fully re-structure the code and messages formats for ROS2 (humb
 
 - Currently all pretrained models are trained using the [visionfactory](https://github.com/Owen-Liuyuxuan/visionfactory) repo. Thus focusing on out-door autonomous driving scenarios. But it is ok to plugin ONNX models that satisfiy the [interface](#onnx-model-interface). Published models description:
 
-| Model                          | Type             | Link                                                                                                                  | Description                                                                                                 |
-| ------------------------------ | ---------------- | --------------------------------------------------------------------------------------------------------------------- | ----------------------------------------------------------------------------------------------------------- |
-| monodepth_res101_384_1280.onnx | MonoDepth        | [link](https://github.com/Owen-Liuyuxuan/ros2_vision_inference/releases/download/v1.0/monodepth_res101_384_1280.onnx) | FSNet, res101 backbone, model input shape (384x1280) trained on KITTI/KITTI360/nuscenes                     |
-| metric_3d .onnx                | MonoDepth        | [link](https://github.com/Owen-Liuyuxuan/ros2_vision_inference/releases/download/v1.1/metric_3d.onnx)                 | Metric3Dv2, ViT backbone, supervised depth contains full pipeline from depth image to point cloud.          |
-| bisenetv1.onnx                 | Segmentation     | [link](https://github.com/Owen-Liuyuxuan/ros2_vision_inference/releases/download/v1.0/bisenetv1.onnx)                 | BiSeNetV1, model input shape (512x768) trained on remapped KITTI360/ApolloScene/CityScapes/BDD100k/a2d2     |
-| mono3d_yolox_576_768.onnx      | Mono3D Detection | [link](https://github.com/Owen-Liuyuxuan/ros2_vision_inference/releases/download/v1.0/mono3d_yolox_576_768.onnx)      | YoloX-m MonoFlex, model input (576x768) trained on KITTI/nuscenes/ONCE/bdd100k/cityscapes                   |
-| dla34_deform_576_768.onnx      | Mono3D Detection | [link](https://github.com/Owen-Liuyuxuan/ros2_vision_inference/releases/download/v1.0.1/dla34_deform_576_768.onnx)    | DLA34 Deformable Upsample MonoFlex, model input (576x768) trained on KITTI/nuscenes/ONCE/bdd100k/cityscapes |
+| Model                          | Type             | Link                                                                                                                  | Description                                                                                                  |
+| ------------------------------ | ---------------- | --------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------ |
+| monodepth_res101_384_1280.onnx | MonoDepth        | [link](https://github.com/Owen-Liuyuxuan/ros2_vision_inference/releases/download/v1.0/monodepth_res101_384_1280.onnx) | FSNet, res101 backbone, model input shape (384x1280) trained on KITTI/KITTI360/nuscenes                      |
+| metric_3d .onnx                | MonoDepth        | [link](https://github.com/Owen-Liuyuxuan/ros2_vision_inference/releases/download/v1.1/metric_3d.onnx)                 | Metric3Dv2, ViT backbone, supervised depth contains full pipeline from depth image to point cloud.           |
+| bisenetv1.onnx                 | Segmentation     | [link](https://github.com/Owen-Liuyuxuan/ros2_vision_inference/releases/download/v1.0/bisenetv1.onnx)                 | BiSeNetV1, model input shape (512x768) trained on remapped KITTI360/ApolloScene/CityScapes/BDD100k/a2d2      |
+| mono3d_yolox_576_768.onnx      | Mono3D Detection | [link](https://github.com/Owen-Liuyuxuan/ros2_vision_inference/releases/download/v1.0/mono3d_yolox_576_768.onnx)      | YoloX-m MonoFlex, model input (576x768) trained on KITTI/nuscenes/ONCE/bdd100k/cityscapes                    |
+| dla34_deform_576_768.onnx      | Mono3D Detection | [link](https://github.com/Owen-Liuyuxuan/ros2_vision_inference/releases/download/v1.1.1/dla34_deform_576_768.onnx)    | DLA34 Deformable Upsample MonoFlex, model input (576x768) trained on KITTI/nuscenes/ONCE/bdd100k/cityscapes  |
+| dla34_deform_384_1280.onnx     | Mono3D Detection | [link](https://github.com/Owen-Liuyuxuan/ros2_vision_inference/releases/download/v1.1.1/dla34_deform_384_1280.onnx)   | DLA34 Deformable Upsample MonoFlex, model input (384x1280) trained on KITTI/nuscenes/ONCE/bdd100k/cityscapes |
 
 
 ## Getting Started