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Models/SimVLM

SimVLM

Reported on 14 benchmarks across 4 tasks · 1 paper · 13 SOTA

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

Natural Language Processing12 results

  • Visual Question Answering (VQA)onVQA v2 test-dev
    Accuracy· 2021-08-24
    80.03
    best: 84.3 (PaLI)
    SOTA
    SimVLM: Simple Visual Language Model Pretraining with Weak SupervisionarXiv:2108.10904
  • Visual Question Answering (VQA)onVQA v2 test-std
    overall· 2021-08-24
    80.34
    best: 84.03 (BEiT-3)
    SOTA
    SimVLM: Simple Visual Language Model Pretraining with Weak SupervisionarXiv:2108.10904
  • Natural Language InferenceonSNLI-VE val
    Accuracy· 2021-08-24
    86.21
    best: 91 (OFA)
    SOTA
    SimVLM: Simple Visual Language Model Pretraining with Weak SupervisionarXiv:2108.10904
  • Natural Language InferenceonSNLI-VE test
    Accuracy· 2021-08-24
    86.32
    best: 91.2 (OFA)
    SOTA
    SimVLM: Simple Visual Language Model Pretraining with Weak SupervisionarXiv:2108.10904
  • Image Captioningonnocaps-val-out-domain
    CIDEr· 2021-08-24
    115.2
    best: 124.8 (BLIP-2 ViT-G FlanT5 XL (zero-shot))
    SOTA
    SimVLM: Simple Visual Language Model Pretraining with Weak SupervisionarXiv:2108.10904
  • Image Captioningonnocaps-val-near-domain
    CIDEr· 2021-08-24
    110.9
    best: 120.2 (BLIP-2 ViT-G FlanT5 XL (zero-shot))
    SOTA
    SimVLM: Simple Visual Language Model Pretraining with Weak SupervisionarXiv:2108.10904
  • Image CaptioningonCOCO Captions
    CIDER· 2021-08-24
    143.3
    best: 155.1 (mPLUG)
    SOTA
    SimVLM: Simple Visual Language Model Pretraining with Weak SupervisionarXiv:2108.10904
  • Image CaptioningonCOCO Captions
    METEOR· 2021-08-24
    33.4
    best: 33.9 (CoCa)
    SOTA
    SimVLM: Simple Visual Language Model Pretraining with Weak SupervisionarXiv:2108.10904
  • Image CaptioningonCOCO Captions
    SPICE· 2021-08-24
    25.4
    best: 27 (VAST)
    SOTA
    SimVLM: Simple Visual Language Model Pretraining with Weak SupervisionarXiv:2108.10904
  • Image Captioningonnocaps-val-overall
    CIDEr· 2021-08-24
    112.2
    best: 121.6 (BLIP-2 ViT-G FlanT5 XL (zero-shot))
    SOTA
    SimVLM: Simple Visual Language Model Pretraining with Weak SupervisionarXiv:2108.10904
  • Image Captioningonnocaps-val-in-domain
    CIDEr· 2021-08-24
    113.7
    best: 123.7 (BLIP-2 ViT-G FlanT5 XL (zero-shot))
    SOTA
    SimVLM: Simple Visual Language Model Pretraining with Weak SupervisionarXiv:2108.10904
  • Image CaptioningonCOCO Captions
    BLEU-4· 2021-08-24
    40.6
    best: 46.5 (mPLUG)
    SimVLM: Simple Visual Language Model Pretraining with Weak SupervisionarXiv:2108.10904

Reasoning2 results

  • Visual ReasoningonNLVR2 Dev
    Accuracy· 2021-08-24
    84.53
    best: 91.51 (BEiT-3)
    SOTA
    SimVLM: Simple Visual Language Model Pretraining with Weak SupervisionarXiv:2108.10904
  • Visual ReasoningonNLVR2 Test
    Accuracy· 2021-08-24
    85.15
    best: 92.58 (BEiT-3)
    SOTA
    SimVLM: Simple Visual Language Model Pretraining with Weak SupervisionarXiv:2108.10904