MoE-ViE: Mixture of Experts Vision Encoder for Efficient Image and Video Understanding

Benchmark Model Rank Results
zero-shot-action-recognition-on-kinetics-400-zero-shot-action-classificationMoE-ViE-H/14#2Accuracy: 76.9
zero-shot-action-recognition-on-ucf101MoE-ViE-H/14#2Top-1 Accuracy: 92.8
zero-shot-video-retrieval-on-msr-vtt-video-to-textMoE-ViE-L/16#2R@1: 49.8
image-classification-on-objectnetMoE-ViE-H/14#3Top-1 Accuracy: 87.0
zero-shot-action-recognition-on-hmdb51MoE-ViE-H/14#3Top-1 Accuracy: 61.3
image-classification-on-imagenet-v2MoE-ViE-H/14#16Top 1 Accuracy: 80.0
video-question-answering-on-mvbenchMoE-ViE-H/14 + Llama 3.1 8B (42M alignment)#25Avg.: 71.5
zero-shot-cross-modal-retrieval-on-coco-2014MoE-ViE-L/16#26Text-to-image R@1: 57.2
image-classification-on-imagenetMoE-ViE-H/14 (linear probe)#32Top 1 Accuracy: 88.85%
visual-question-answering-on-docvqa-testMoE-ViE-H/14 + Llama 3.1 8B (42M alignment)#40ANLS: 0.904
zero-shot-video-question-answer-on-video-mme-w-o-subsMoE-ViE-H/14 + Llama 3.1 8B (42M alignment)#51Accuracy (%): 53.0
chart-question-answering-on-chartqaMoE-ViE-H/14 + Llama 3.1 8B (42M alignment)#661:1 Accuracy: 80.8