Fix project links, add TAP-Net benchmark score

README.md

@@ -20,7 +20,7 @@ arxiv:
 
 Official pre-trained checkpoints for the **Tracking Any Point (TAP)** family of models from Google DeepMind & Google Research.
 
-[[GitHub](https://github.com/google-deepmind/tapnet)] [[TAP-Vid](https://tapvid.github.io/)] [[TAPIR](https://deepmind-tapir.github.io/)] [[BootsTAP](https://bootstap.github.io/)] [[TAPNext](https://tap-next.github.io/)] [[TAPNext++](https://tap-next-plus-plus.github.io/)]
+[[GitHub](https://github.com/google-deepmind/tapnet)] [[TAP-Vid](https://tapvid.github.io/)] [[TAPIR](https://deepmind-tapir.github.io/)] [[RoboTAP](https://robotap.github.io/)] [[Blog Post](https://deepmind-tapir.github.io/blogpost.html)] [[BootsTAP](https://bootstap.github.io/)] [[TAPVid-3D](https://tapvid3d.github.io/)] [[TAPNext](https://tap-next.github.io/)] [[TRAJAN](https://trajan-paper.github.io)] [[TAPNext++](https://tap-next-plus-plus.github.io/)]
 
 ## Model Overview
 
@@ -67,10 +67,10 @@ All checkpoints are released under the **Apache License 2.0**.
 
 ### Other
 
-| File | Model | Framework |
-|:--|:--|:--:|
-| `checkpoint.npy` | TAP-Net (baseline) | Jax |
-| `track_autoencoder_ckpt.npz` | TRAJAN | Jax |
+| File | Model | Framework | DAVIS First (AJ) |
+|:--|:--|:--:|:--:|
+| `checkpoint.npy` | TAP-Net (baseline) | Jax | 33.0% |
+| `track_autoencoder_ckpt.npz` | TRAJAN | Jax | — |
 
 ## Quick Start