docs(README): drop VideoMAEv2 row; update repo id after rename to Motif-Vision-Encoder

Remove VideoMAEv2 row and its ‡ footnote/protocol references; update code repo id to Motif-Technologies/Motif-Vision-Encoder (repo renamed, -7B dropped). ViT-7B architecture spec kept.

README.md

@@ -46,7 +46,7 @@ from transformers.image_utils import load_image
 url = "http://images.cocodataset.org/val2017/000000039769.jpg"
 image = load_image(url)
 
-repo = "Motif-Technologies/Motif-Vision-Encoder-7B"
+repo = "Motif-Technologies/Motif-Vision-Encoder"
 processor = AutoImageProcessor.from_pretrained(repo)
 model = AutoModel.from_pretrained(repo, trust_remote_code=True, dtype=torch.bfloat16).to("cuda").eval()
 
@@ -94,8 +94,7 @@ Outputs (`BaseModelOutputWithPooling`): `last_hidden_state` `(B, 1+4+N, 4096)`,
 ## Evaluation
 
 Compared against the strongest publicly reported self-supervised / vision backbones. Higher is
-better for every column. Best comparable value per column in bold, second best <u>underlined</u>;
-the footnoted figure (‡) is measured under a different protocol and is excluded from the ranking.
+better for every column. Best comparable value per column in bold, second best <u>underlined</u>.
 
 DAVIS S/M/L follow the DINOv3 protocol (J&F-mean at video short side 420/480, 840/960,
 1260/1440 px). V-JEPA 2.1 is not part of the DINOv3 Table 5 tracking benchmark, so only its
@@ -110,15 +109,11 @@ single-resolution (S) figure is available.
 | SigLIP2 | 10B | 56.1 | 62.3 | 62.9 | <u>89.1</u> | 45.4 | 86.9 |
 | OpenCLIP | 2B | – | – | – | – | – | – |
 | V-JEPA 2.1 | 0.022B | 69.0 | – | – | 85.5 | 47.9 | 87.7 |
-| VideoMAEv2 | 0.0014B | – | – | – | – | – | 90.0<sup>‡</sup> |
-
-<sub>‡ VideoMAEv2 ViT-g: K400 top-1 after **full fine-tuning**, not the frozen attentive-probe protocol used for the other rows.</sub>
 
 Protocol: DINOv3-style linear/attentive probes for image tasks; V-JEPA 2-style protocol for
-video. Baseline DAVIS / ADE20K / K400 figures are taken from the DINOv3 technical
-report's unified evaluation (Tab. 3, 5, 6) and ImageNet from Tab. 7; OpenCLIP and VideoMAEv2
-are not in that report; VideoMAEv2's K400 figure is cited from its own paper (see ‡), and
-OpenCLIP's remaining benchmarks are not reported under a comparable protocol.
+video. Baseline DAVIS / ADE20K / K400 figures are taken from the DINOv3 technical report's
+unified evaluation (Tab. 3, 5, 6) and ImageNet from Tab. 7; OpenCLIP is not in that report and
+its benchmarks are not reported under a comparable protocol.
 
 Motif is state of the art on DAVIS video tracking at every resolution (74.0 / 80.5 / 83.5 J&F)
 and stays competitive on the other image and video benchmarks, using roughly 1/3 of DINOv3's