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turhancan97/
visbench-occlusion_edge-dinov2_vitb14

Name: visbench-occlusion_edge-dinov2_vitb14
Availability: InStock

visbench

probing

occlusion_edge

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occlusion_edge probe for `dinov2_vitb14`

A trained probe head, not a backbone. It is the small module VisBench fits on top of frozen dinov2_vitb14 features to measure what those features carry.

python

import visbench
from visbench.hub import load_probe_from_hub

backbone = visbench.get_backbone("dinov2_vitb14")
probe = load_probe_from_hub("turhancan97/visbench-occlusion_edge-dinov2_vitb14", backbone=backbone)

It only works with this backbone

These weights were fitted on features from dinov2_vitb14, taken with pooling=mean and feature_mode=dense_only. Loading them against anything else is refused, because the failure is otherwise silent: a head fitted on one pooling and fed another has the right shapes and produces a plausible, wrong number.


backbone	`dinov2_vitb14`
backbone key	`dinov2/dinov2_vitb14/224/7764ea0f912e`
task	`occlusion_edge` (mid_level)
pooling	`mean` (requested `mean`)
feature mode	`dense_only`
layers	`None`

Reported scores

metric	value
`mae`	0.2061
`occlusion_edge_correlation`	0.3167
`rmse`	0.4315

Reproducing it

Fitted with:

activation: identity
batch_size: 8
epochs: 10
head: linear
hidden_dim: 512
layers: None
loss: l1
lr: 0.0005
optimizer: adamw
protocol: visbench_occlusion_edge_regression
warmup_epochs: 1.5
weight_decay: 0.0001

Generated by VisBench.

turhancan97/visbench-occlusion_edge-dinov2_vitb14

occlusion_edge probe for dinov2_vitb14

It only works with this backbone

Reproducing it

turhancan97/
visbench-occlusion_edge-dinov2_vitb14

occlusion_edge probe for `dinov2_vitb14`