diff --git a/docs/en/models/yoloe.md b/docs/en/models/yoloe.md
index 131d19b9e6..4ca8d463a9 100644
--- a/docs/en/models/yoloe.md
+++ b/docs/en/models/yoloe.md
@@ -10,7 +10,7 @@ keywords: YOLOE, open-vocabulary detection, real-time object detection, instance
 
 ![YOLOE Prompting Options](https://github.com/THU-MIG/yoloe/raw/main/figures/visualization.svg)
 
-[**YOLOE** (You Only Look Once **E**nhanced)](https://arxiv.org/html/2503.07465v1) is a new advancement in zero-shot, promptable YOLO models, designed for **open-vocabulary** detection and segmentation. Unlike previous YOLO models limited to fixed categories, YOLOE uses text, image, or internal vocabulary prompts, enabling real-time detection of any object class. Built upon YOLOv10 and inspired by [YOLO-World](https://docs.ultralytics.com/models/yolo-world/), YOLOE achieves **state-of-the-art zero-shot performance** with minimal impact on speed and accuracy.
+[YOLOE (Real-Time Seeing Anything)](https://arxiv.org/html/2503.07465v1) is a new advancement in zero-shot, promptable YOLO models, designed for **open-vocabulary** detection and segmentation. Unlike previous YOLO models limited to fixed categories, YOLOE uses text, image, or internal vocabulary prompts, enabling real-time detection of any object class. Built upon YOLOv10 and inspired by [YOLO-World](https://docs.ultralytics.com/models/yolo-world/), YOLOE achieves **state-of-the-art zero-shot performance** with minimal impact on speed and accuracy.
 
 !!! note "Ultralytics Integration Status 🚧"
 
diff --git a/ultralytics/__init__.py b/ultralytics/__init__.py
index b8e99fc180..d94da95f67 100644
--- a/ultralytics/__init__.py
+++ b/ultralytics/__init__.py
@@ -1,6 +1,6 @@
 # Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
 
-__version__ = "8.3.92"
+__version__ = "8.3.93"
 
 import os
 
diff --git a/ultralytics/nn/autobackend.py b/ultralytics/nn/autobackend.py
index a7bf7cf732..29b58d2541 100644
--- a/ultralytics/nn/autobackend.py
+++ b/ultralytics/nn/autobackend.py
@@ -185,6 +185,8 @@ class AutoBackend(nn.Module):
 
         # TorchScript
         elif jit:
+            import torchvision  # noqa - https://github.com/ultralytics/ultralytics/pull/19747
+
             LOGGER.info(f"Loading {w} for TorchScript inference...")
             extra_files = {"config.txt": ""}  # model metadata
             model = torch.jit.load(w, _extra_files=extra_files, map_location=device)