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metadata
license: cc-by-nc-4.0
model-index:
  - name: CondViT-B16-txt
    results:
      - dataset:
          name: LAION - Referred Visual Search - Fashion
          split: test
          type: Slep/LAION-RVS-Fashion
        metrics:
          - name: R@1 +10K Dist.
            type: recall_at_1|10000
            value: 94.18 ± 0.86
          - name: R@5 +10K Dist.
            type: recall_at_5|10000
            value: 98.78 ± 0.32
          - name: R@10 +10K Dist.
            type: recall_at_10|10000
            value: 99.25 ± 0.30
          - name: R@20 +10K Dist.
            type: recall_at_20|10000
            value: 99.71 ± 0.17
          - name: R@50 +10K Dist.
            type: recall_at_50|10000
            value: 99.79 ± 0.13
          - name: R@1 +100K Dist.
            type: recall_at_1|100000
            value: 87.07 ± 1.30
          - name: R@5 +100K Dist.
            type: recall_at_5|100000
            value: 95.28 ± 0.61
          - name: R@10 +100K Dist.
            type: recall_at_10|100000
            value: 96.99 ± 0.44
          - name: R@20 +100K Dist.
            type: recall_at_20|100000
            value: 98.04 ± 0.36
          - name: R@50 +100K Dist.
            type: recall_at_50|100000
            value: 98.98 ± 0.26
          - name: R@1 +500K Dist.
            type: recall_at_1|500000
            value: 79.41 ± 1.02
          - name: R@5 +500K Dist.
            type: recall_at_5|500000
            value: 89.65 ± 1.08
          - name: R@10 +500K Dist.
            type: recall_at_10|500000
            value: 92.72 ± 0.87
          - name: R@20 +500K Dist.
            type: recall_at_20|500000
            value: 94.88 ± 0.58
          - name: R@50 +500K Dist.
            type: recall_at_50|500000
            value: 97.13 ± 0.48
          - name: R@1 +1M Dist.
            type: recall_at_1|1000000
            value: 75.60 ± 1.40
          - name: R@5 +1M Dist.
            type: recall_at_5|1000000
            value: 86.62 ± 1.42
          - name: R@10 +1M Dist.
            type: recall_at_10|1000000
            value: 90.13 ± 1.06
          - name: R@20 +1M Dist.
            type: recall_at_20|1000000
            value: 92.82 ± 0.76
          - name: R@50 +1M Dist.
            type: recall_at_50|1000000
            value: 95.61 ± 0.62
          - name: Available Dists.
            type: n_dists
            value: 2000014
          - name: Embedding Dimension
            type: embedding_dim
            value: 512
          - name: Conditioning
            type: conditioning
            value: text
        source:
          name: LRVSF Leaderboard
          url: https://huggingface.co/spaces/Slep/LRVSF-Leaderboard
        task:
          type: Retrieval
tags:
  - lrvsf-benchmark
datasets:
  - Slep/LAION-RVS-Fashion

Conditional ViT - B/16 - Text

Introduced in LRVSF-Fashion: Extending Visual Search with Referring Instructions, Lepage et al. 2023

General Infos

Model finetuned from CLIP ViT-B/16 on LRVSF at 224x224. The conditioning text is preprocessed by a frozen Sentence T5-XL.

Research use only.

How to Use 

from PIL import Image
import requests
from transformers import AutoProcessor, AutoModel
import torch

model = AutoModel.from_pretrained("Slep/CondViT-B16-txt")
processor = AutoProcessor.from_pretrained("Slep/CondViT-B16-txt")

url = "https://huggingface.co/datasets/Slep/LAION-RVS-Fashion/resolve/main/assets/108856.0.jpg"
img = Image.open(requests.get(url, stream=True).raw)
txt = "a brown bag"

inputs = processor(images=[img], texts=[txt])
raw_embedding = model(**inputs)
normalized_embedding = torch.nn.functional.normalize(raw_embedding, dim=-1)