| 3d-point-cloud-classification-on-modelnet40-c | OmniVec2 | – | Error Rate: 0.142 |
| 3d-point-cloud-classification-on-scanobjectnn | OmniVec2 | – | Overall Accuracy: 97.2 |
| action-classification-on-kinetics-400 | OmniVec2 | – | Acc@1: 93.6 |
| action-classification-on-moments-in-time | OmniVec2 | – | Top 1 Accuracy: 53.1 |
| action-classification-on-moments-in-time-2 | OmniVec2 | – | Top 1 Accuracy: 53.1 |
| action-recognition-in-videos-on-ucf101 | OmniVec2 | – | 3-fold Accuracy: 99.6 |
| audio-classification-on-audioset | OmniVec2 | – | Test mAP: 0.558 |
| audio-classification-on-esc-50 | OmniVec2 | – | Top-1 Accuracy: 99.1PRE-TRAINING DATASET: Multiple… |
| fine-grained-image-classification-on-oxford-iiit-pet | OmniVec2 | – | Accuracy: 99.6 |
| image-classification-on-imagenet | OmniVec2 | – | Top 1 Accuracy: 89.3% |
| image-classification-on-inaturalist-2018 | OmniVec2 | – | Top-1 Accuracy: 94.6 |
| image-classification-on-places365 | OmniVec2 | – | Top 1 Accuracy: 65.1 |
| semantic-segmentation-on-nyu-depth-v2 | OmniVec2 | – | Mean IoU: 63.6 |
| semantic-segmentation-on-s3dis-area5 | OmniVec2 | – | mIoU: 77.1 |
| text-summarization-on-dialogsum | OmniVec2 | – | Rouge1: 47.6Rouge2: 22.1RougeL: 41.4BertScore: 72.8 |
| text-summarization-on-samsum-corpus | OmniVec2 | – | ROUGE-1: 59.1ROUGE-2: 34.1ROUGE-L: 63.7BertScoreF1: 65.1 |
| zero-shot-video-retrieval-on-youcook2 | OmniVec2 | – | text-to-video R@1: 26.1text-to-video R@5: 54.1… |