Model card: possible downstream uses

README.md

@@ -72,6 +72,22 @@ Frozen attentive probe, mean top-1 over 3 seeds (TT-VidT evaluation protocol, 8
 | paper TT3D (full-linear resample, 407.8M) | 24.8 | 35.4 | 86.6 | 72.9 | 25.9 |
 | this checkpoint (structured resample, 195.5M) | 25.2 | 36.1 | 86.0 | 72.9 | 25.4 |
 
+## Possible downstream uses
+
+The encoder gives a compact sequence of per-frame motion tokens alongside the
+DINOv3 appearance features. Some directions we think are worth trying:
+
+- **From image models to video models**: pair an existing image model with the
+  motion token sequence to get a video model for understanding in the broad
+  sense: classification, retrieval, captioning, question answering, or any
+  other task.
+- **Generation and motion transfer**: use the motion tokens as a conditioning
+  signal for video generation, or take them from one clip and apply them to
+  another subject or scene.
+
+Further exploration and feedback are very welcome, and so are attempts at larger
+scale (bigger backbones, more data, longer training).
+
 ## License
 
 Apache-2.0. The spatial path is initialised from DINOv3, which has its own license.