FrozenBiLM+

Reported on 3 benchmarks across 2 tasks · 1 paper

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

Natural Language Processing2 results

Visual Question Answering (VQA)onMSRVTT-QA
Accuracy· 2023-08-18
0.47
best: 0.496 (VLAB)
Open-vocabulary Video Question Answering: A New Benchmark for Evaluating the Generalizability of Video Question Answering Models arXiv:2308.09363
Visual Question Answering (VQA)onMSVD-QA
Accuracy· 2023-08-18
0.558
best: 0.61 (VLAB)
Open-vocabulary Video Question Answering: A New Benchmark for Evaluating the Generalizability of Video Question Answering Models arXiv:2308.09363

Reasoning1 result

Video Question AnsweringonActivityNet-QA
Accuracy· 2023-08-18
44.8
best: 61.6 (Tarsier (34B))
Open-vocabulary Video Question Answering: A New Benchmark for Evaluating the Generalizability of Video Question Answering Models arXiv:2308.09363