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Models/IG-VLM-GPT4v

IG-VLM-GPT4v

Reported on 18 benchmarks across 3 tasks · 1 paper

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

Reasoning12 results

Generative Visual Question AnsweringonVideoInstruct
Consistency· 2024-03-27
3.13
best: 3.81 (PPLLaVA-7B-dpo)
An Image Grid Can Be Worth a Video: Zero-shot Video Question Answering Using a VLM arXiv:2403.18406
Generative Visual Question AnsweringonVideoInstruct
Contextual Understanding· 2024-03-27
3.61
best: 4.21 (PPLLaVA-7B-dpo)
An Image Grid Can Be Worth a Video: Zero-shot Video Question Answering Using a VLM arXiv:2403.18406
Generative Visual Question AnsweringonVideoInstruct
Correctness of Information· 2024-03-27
3.4
best: 3.85 (PPLLaVA-7B-dpo)
An Image Grid Can Be Worth a Video: Zero-shot Video Question Answering Using a VLM arXiv:2403.18406
Generative Visual Question AnsweringonVideoInstruct
Detail Orientation· 2024-03-27
2.8
best: 3.56 (PPLLaVA-7B-dpo)
An Image Grid Can Be Worth a Video: Zero-shot Video Question Answering Using a VLM arXiv:2403.18406
Generative Visual Question AnsweringonVideoInstruct
Temporal Understanding· 2024-03-27
2.89
best: 3.23 (VLM-RLAIF)
An Image Grid Can Be Worth a Video: Zero-shot Video Question Answering Using a VLM arXiv:2403.18406
Generative Visual Question AnsweringonVideoInstruct
mean· 2024-03-27
3.17
best: 3.73 (PPLLaVA-7B-dpo)
An Image Grid Can Be Worth a Video: Zero-shot Video Question Answering Using a VLM arXiv:2403.18406
Video-based Generative Performance BenchmarkingonVideoInstruct
Consistency· 2024-03-27
3.13
best: 3.81 (PPLLaVA-7B-dpo)
An Image Grid Can Be Worth a Video: Zero-shot Video Question Answering Using a VLM arXiv:2403.18406
Video-based Generative Performance BenchmarkingonVideoInstruct
Contextual Understanding· 2024-03-27
3.61
best: 4.21 (PPLLaVA-7B-dpo)
An Image Grid Can Be Worth a Video: Zero-shot Video Question Answering Using a VLM arXiv:2403.18406
Video-based Generative Performance BenchmarkingonVideoInstruct
Correctness of Information· 2024-03-27
3.4
best: 3.85 (PPLLaVA-7B-dpo)
An Image Grid Can Be Worth a Video: Zero-shot Video Question Answering Using a VLM arXiv:2403.18406
Video-based Generative Performance BenchmarkingonVideoInstruct
Detail Orientation· 2024-03-27
2.8
best: 3.56 (PPLLaVA-7B-dpo)
An Image Grid Can Be Worth a Video: Zero-shot Video Question Answering Using a VLM arXiv:2403.18406
Video-based Generative Performance BenchmarkingonVideoInstruct
Temporal Understanding· 2024-03-27
2.89
best: 3.23 (VLM-RLAIF)
An Image Grid Can Be Worth a Video: Zero-shot Video Question Answering Using a VLM arXiv:2403.18406
Video-based Generative Performance BenchmarkingonVideoInstruct
mean· 2024-03-27
3.17
best: 3.73 (PPLLaVA-7B-dpo)
An Image Grid Can Be Worth a Video: Zero-shot Video Question Answering Using a VLM arXiv:2403.18406

Natural Language Processing6 results

Visual Question Answering (VQA)onVideoInstruct
Consistency· 2024-03-27
3.13
best: 3.81 (PPLLaVA-7B-dpo)
An Image Grid Can Be Worth a Video: Zero-shot Video Question Answering Using a VLM arXiv:2403.18406
Visual Question Answering (VQA)onVideoInstruct
Contextual Understanding· 2024-03-27
3.61
best: 4.21 (PPLLaVA-7B-dpo)
An Image Grid Can Be Worth a Video: Zero-shot Video Question Answering Using a VLM arXiv:2403.18406
Visual Question Answering (VQA)onVideoInstruct
Correctness of Information· 2024-03-27
3.4
best: 3.85 (PPLLaVA-7B-dpo)
An Image Grid Can Be Worth a Video: Zero-shot Video Question Answering Using a VLM arXiv:2403.18406
Visual Question Answering (VQA)onVideoInstruct
Detail Orientation· 2024-03-27
2.8
best: 3.56 (PPLLaVA-7B-dpo)
An Image Grid Can Be Worth a Video: Zero-shot Video Question Answering Using a VLM arXiv:2403.18406
Visual Question Answering (VQA)onVideoInstruct
Temporal Understanding· 2024-03-27
2.89
best: 3.23 (VLM-RLAIF)
An Image Grid Can Be Worth a Video: Zero-shot Video Question Answering Using a VLM arXiv:2403.18406
Visual Question Answering (VQA)onVideoInstruct
mean· 2024-03-27
3.17
best: 3.73 (PPLLaVA-7B-dpo)
An Image Grid Can Be Worth a Video: Zero-shot Video Question Answering Using a VLM arXiv:2403.18406