Text-based Visual Question Answering on TextVQA 52
63.8AccuracyQwen-VL
Evaluation Results
| Method | Links | |
|---|---|---|
| Qwen-VLLM=Qwen (7B), Res.=448, PT=1.4B, IT=50M2024.07 | 63.8 | |
| Qwen-VL-ChatLM=Qwen (7B), Res.=448, PT=1.4B, IT=50M2024.07 | 61.5 | |
| Bunny-3BLM=Phi-2 (2.7B), Res.=384, PT=2M, IT=695K2024.07 | 60.6 | |
| LAF-7BLM=Vicuna (7B), Res.=336, PT=558K, IT=665K2024.07 | 60.1 | |
| LLaVA-1.5+ (Ours)LM=Vicuna(7B), Res.=336, PT=558K, IT=665K2024.07 | 59.8 | |
| Imp-v1LM=Phi-2 (2.7B), Res.=384, PT=558K, IT=665K2024.07 | 59.4 | |
| TinyLLaVALM=Phi-2 (2.7B), Res.=384, PT=1.2M, IT=665k2024.07 | 59.1 | |
| mPLUG-Owl2LM=LLAMA (7B), Res.=448, PT=400M, IT=1.23M2024.07 | 58.2 | |
| LLaVA-1.5LM=Vicuna (7B), Res.=336, PT=558K, IT=665K2024.07 | 58.2 | |
| Mipha-3B+ (Ours)LM=Phi-2 (2.7B), Res.=384, PT=558K, IT=665K2024.07 | 57.8 | |
| Mobile VLM-v2-3BLM=M-LLaMA (2.7B), Res.=336, PT=1.2M, IT=2.4M2024.07 | 57.5 | |
| MoE-LLaVA-3.6BLM=Phi-2 (2.7B), Res.=384, PT=558k, IT=1.59M2024.07 | 57 | |
| Mipha-3BLM=Phi-2 (2.7B), Res.=384, PT=558K, IT=665K2024.07 | 56.6 | |
| Mobile VLM-v2-1.7BLM=M-LLaMA (1.4B), Res.=336, PT=1.2M, IT=2.4M2024.07 | 52.1 | |
| InstructBLIPLM=Vicuna (13B), Res.=224, PT=129M, IT=1.2M2024.07 | 50.7 | |
| InstructBLIPLM=Vicuna (7B), Res.=224, PT=129M, IT=1.2M2024.07 | 50.1 | |
| LLaVA-PhiLM=Phi-2 (2.7B), Res.=336, PT=558k, IT=665K2024.07 | 48.6 | |
| Mobile VLM-3BLM=M-LLaMA (2.7B), Res.=336, PT=558K, IT=665K2024.07 | 47.5 | |
| BLIP-2LM=Vicuna (13B), Res.=224, PT=129M, IT=-2024.07 | 42.5 | |
| Mobile VLM-1.7BLM=M-LLaMA (1.4B), Res.=336, PT=558K, IT=665K2024.07 | 41.5 | |
| MC-LLaVALM=Phi-2 (2.7B), Res.=384, PT=558k, IT=665K2024.07 | 38.6 | |
| IDEFICS-80BLM=LLaMA (65B), Res.=224, PT=353M, IT=1M2024.07 | 30.9 | |
| IDEFICS-9BLM=LLaMA (7B), Res.=224, PT=353M, IT=1M2024.07 | 25.9 |