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Models/VSE++ (ResNet)

VSE++ (ResNet)

Reported on 18 benchmarks across 3 tasks · 1 paper · 18 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Miscellaneous12 results

Image Retrieval with Multi-Modal QueryonFlickr30k
Image-to-text R@1· 2017-07-18
52.9
best: 98.8 (X2-VLM (large))
SOTA
VSE++: Improving Visual-Semantic Embeddings with Hard Negatives arXiv:1707.05612
Image Retrieval with Multi-Modal QueryonFlickr30k
Image-to-text R@10· 2017-07-18
87.2
best: 100 (X2-VLM (large))
SOTA
VSE++: Improving Visual-Semantic Embeddings with Hard Negatives arXiv:1707.05612
Image Retrieval with Multi-Modal QueryonFlickr30k
Image-to-text R@5· 2017-07-18
80.5
best: 100 (X2-VLM (large))
SOTA
VSE++: Improving Visual-Semantic Embeddings with Hard Negatives arXiv:1707.05612
Image Retrieval with Multi-Modal QueryonFlickr30k
Text-to-image R@1· 2017-07-18
39.6
best: 93.3 (ERNIE-ViL 2.0)
SOTA
VSE++: Improving Visual-Semantic Embeddings with Hard Negatives arXiv:1707.05612
Image Retrieval with Multi-Modal QueryonFlickr30k
Text-to-image R@10· 2017-07-18
79.5
best: 99.8 (ERNIE-ViL 2.0)
SOTA
VSE++: Improving Visual-Semantic Embeddings with Hard Negatives arXiv:1707.05612
Image Retrieval with Multi-Modal QueryonFlickr30k
Text-to-image R@5· 2017-07-18
70.1
best: 99.5 (M2-Encoder)
SOTA
VSE++: Improving Visual-Semantic Embeddings with Hard Negatives arXiv:1707.05612
Cross-Modal Information RetrievalonFlickr30k
Image-to-text R@1· 2017-07-18
52.9
best: 98.8 (X2-VLM (large))
SOTA
VSE++: Improving Visual-Semantic Embeddings with Hard Negatives arXiv:1707.05612
Cross-Modal Information RetrievalonFlickr30k
Image-to-text R@10· 2017-07-18
87.2
best: 100 (X2-VLM (large))
SOTA
VSE++: Improving Visual-Semantic Embeddings with Hard Negatives arXiv:1707.05612
Cross-Modal Information RetrievalonFlickr30k
Image-to-text R@5· 2017-07-18
80.5
best: 100 (X2-VLM (large))
SOTA
VSE++: Improving Visual-Semantic Embeddings with Hard Negatives arXiv:1707.05612
Cross-Modal Information RetrievalonFlickr30k
Text-to-image R@1· 2017-07-18
39.6
best: 93.3 (ERNIE-ViL 2.0)
SOTA
VSE++: Improving Visual-Semantic Embeddings with Hard Negatives arXiv:1707.05612
Cross-Modal Information RetrievalonFlickr30k
Text-to-image R@10· 2017-07-18
79.5
best: 99.8 (ERNIE-ViL 2.0)
SOTA
VSE++: Improving Visual-Semantic Embeddings with Hard Negatives arXiv:1707.05612
Cross-Modal Information RetrievalonFlickr30k
Text-to-image R@5· 2017-07-18
70.1
best: 99.4 (ERNIE-ViL 2.0)
SOTA
VSE++: Improving Visual-Semantic Embeddings with Hard Negatives arXiv:1707.05612

Natural Language Processing6 results

Cross-Modal RetrievalonFlickr30k
Image-to-text R@1· 2017-07-18
52.9
best: 98.8 (X2-VLM (large))
SOTA
VSE++: Improving Visual-Semantic Embeddings with Hard Negatives arXiv:1707.05612
Cross-Modal RetrievalonFlickr30k
Image-to-text R@10· 2017-07-18
87.2
best: 100 (X2-VLM (large))
SOTA
VSE++: Improving Visual-Semantic Embeddings with Hard Negatives arXiv:1707.05612
Cross-Modal RetrievalonFlickr30k
Image-to-text R@5· 2017-07-18
80.5
best: 100 (X2-VLM (large))
SOTA
VSE++: Improving Visual-Semantic Embeddings with Hard Negatives arXiv:1707.05612
Cross-Modal RetrievalonFlickr30k
Text-to-image R@1· 2017-07-18
39.6
best: 93.3 (ERNIE-ViL 2.0)
SOTA
VSE++: Improving Visual-Semantic Embeddings with Hard Negatives arXiv:1707.05612
Cross-Modal RetrievalonFlickr30k
Text-to-image R@10· 2017-07-18
79.5
best: 99.8 (ERNIE-ViL 2.0)
SOTA
VSE++: Improving Visual-Semantic Embeddings with Hard Negatives arXiv:1707.05612
Cross-Modal RetrievalonFlickr30k
Text-to-image R@5· 2017-07-18
70.1
best: 99.4 (ERNIE-ViL 2.0)
SOTA
VSE++: Improving Visual-Semantic Embeddings with Hard Negatives arXiv:1707.05612