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Motif-Vision-Encoder

Image Feature Extraction
Transformers
Safetensors
motif_vision
feature-extraction
motif
vision-transformer
self-supervised
video
custom_code
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assets: optimized tracking demo GIF (8.9MB, same label quality)

#3
by gkalstn0 - opened
base: refs/heads/main
←
from: refs/pr/3
Discussion Files changed
+45
-52
initial commit91172923
 Initial release: MOTIF vision encoder 7B (bf16 safetensors + modeling_motif.py)cfeb2ba5
 add linear-probe classifier ckpt (ImageNet-1K, best top1=87.266) for eval-only reproduction3018ca9e
 remove linear-probe eval ckpt538bee61
 License->MIT; strip training-only code (init_weights, torch._dynamo config, stochastic depth). Inference forward bit-identical (verified).c436f1d5
 refactor: consolidate all imports to module top (dedupe per-section imports)d9820db4
 rename modeling_motif.py -> modeling_motif_vision_encoder.py (update auto_map + README)e40c8830
 docs: update repo id to Motif-Vision-Encoder-7B in usage + citatione9288a8f
 docs: brand name MOTIF -> Motif (title, intro, citation, docstrings)6050c216
 docs: add training-data scale (~0.47B samples, 96% image / 4% video) + data-efficiency vs DINOv3 LVD-1689M5516ae90
 docs(README): DAVIS S/M/L table, Publisher column, updated metricsa8fa992b
 docs(README): Training-data column + corrected ImageNet numbers2517d39b
 docs(README): unify Training data column to B unitsfe722d61
 docs(README): add attention demo GIF + data-efficiency headline46f5cd48
 docs(README): swap DINOv2 for PEcore/OpenCLIP/VideoMAEv2, drop caption block ref6a5ae7ed
 docs(README): blank OpenCLIP zero-shot cell; VideoMAEv2 data as 1.35M87cb15da
 weights: publish ckpt-199 (phase3 366999base_w_gram_6n_syn, iter 199)61469903
 docs(README): Motif K400 = 87.4 (eval complete)94df3ff9
 docs(README): V-JEPA 2.1 KITTI = 2.5c0154d54
 docs(README): underline second-best value per column744127bc
 docs(README): condense results prose to DAVIS-SOTA + competitive summary0fc183e4
 docs(README): correct demo caption to point-tracking via feature similarityaed26c95
 docs(README): note Motif > V-JEPA 2.1 in point-tracking demo6586ff01
 docs(README): fix leftover img alt text to match tracking captionf9b7d75a
 assets: high-res tracking demo GIF with legible labels (#2)a32fa83c
gkalstn0
 Motif Technologies org

Optimizes the tracking demo GIF from 11.4MB to 8.9MB with identical label legibility. Dithering is disabled and the palette reduced to 128 colors, which compresses the heatmap regions far better; frame count trimmed 60 to 40 with chunk boundaries preserved. Faster page load, no visual regression.
assets: optimized tracking demo GIF (8.9MB, same label quality)e612dd8e
gkalstn0 changed pull request status to merged
gkalstn0 deleted the refs/pr/3 ref

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