| OmniVec2 |
- Acc@1
- 93.6
|
OmniVec2 - A Novel Transformer based Network for Large Scale Multimodal and Multitask Learning 2024-01-01 |
연결 없음 |
| FTP-UniFormerV2-L/14 |
- Acc@1
- 93.4
|
Enhancing Video Transformers for Action Understanding with VLM-aided Training 2024-03-24 |
연결 없음 |
| InternVideo2-6B |
- Acc@1
- 92.1
|
InternVideo2: Scaling Foundation Models for Multimodal Video Understanding 2024-03-22 |
코드 1 · 코드 2 |
| InternVideo2-1B |
- Acc@1
- 91.6
|
InternVideo2: Scaling Foundation Models for Multimodal Video Understanding 2024-03-22 |
코드 1 · 코드 2 |
| InternVideo |
- Acc@1
- 91.1
|
InternVideo: General Video Foundation Models via Generative and Discriminative Learning 2022-12-06 |
코드 1 · 코드 2 |
| OmniVec |
- Acc@1
- 91.1
|
OmniVec: Learning robust representations with cross modal sharing 2023-11-07 |
연결 없음 |
| TubeViT-H (ImageNet-1k) |
- Acc@1
- 90.9
- Acc@5
- 98.9
- FLOPs (G) x views
- 176400x4x3
- Parameters (M)
- 632
|
Rethinking Video ViTs: Sparse Video Tubes for Joint Image and Video Learning 2022-12-06 |
코드 1 |
| Unmasked Teacher (ViT-L) |
- Acc@1
- 90.6
- Acc@5
- 98.7
- FLOPs (G) x views
- 1434×3×4
- Parameters (M)
- 304
|
Unmasked Teacher: Towards Training-Efficient Video Foundation Models 2023-03-28 |
코드 1 |
| UMT-L (ViT-L/16) |
- Acc@1
- 90.6
- Acc@5
- 98.7
|
Unmasked Teacher: Towards Training-Efficient Video Foundation Models 2023-03-28 |
코드 1 |
| TubeVit-L (ImageNet-1k) |
- Acc@1
- 90.2
- Acc@5
- 98.6
- FLOPs (G) x views
- 95300x4x3
- Parameters (M)
- 307
|
Rethinking Video ViTs: Sparse Video Tubes for Joint Image and Video Learning 2022-12-06 |
코드 1 |
| UniFormerV2-L (ViT-L, 336) |
- Acc@1
- 90.0
- Acc@5
- 98.4
- FLOPs (G) x views
- 75300x3x2
- Parameters (M)
- 354
|
UniFormerV2: Spatiotemporal Learning by Arming Image ViTs with Video UniFormer 2022-09-22 |
코드 1 · 코드 2 |
| VideoMAE V2-g (64x266x266) |
- Acc@1
- 90.0
- Acc@5
- 98.4
|
VideoMAE V2: Scaling Video Masked Autoencoders with Dual Masking 2023-03-29 |
코드 1 |
| FluxViT-B |
- Acc@1
- 90.0
- FLOPs (G) x views
- 440x3x4
- Parameters (M)
- 97
|
Make Your Training Flexible: Towards Deployment-Efficient Video Models 2025-03-18 |
코드 1 |
| MTV-H (WTS 60M) |
- Acc@1
- 89.9
- Acc@5
- 98.3
- FLOPs (G) x views
- 735700x4x3
|
Multiview Transformers for Video Recognition 2022-01-12 |
코드 1 |
| TAdaFormer-L/14 |
- Acc@1
- 89.9
|
Temporally-Adaptive Models for Efficient Video Understanding 2023-08-10 |
코드 1 |
| EVA |
- Acc@1
- 89.7
|
EVA: Exploring the Limits of Masked Visual Representation Learning at Scale 2022-11-14 |
코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 · 코드 6 |
| AM/12 ViT-B Dinov2 |
- Acc@1
- 89.6
|
AM Flow: Adapters for Temporal Processing in Action Recognition 2024-11-04 |
연결 없음 |
| ATM |
- Acc@1
- 89.4
- Acc@5
- 98.3
|
What Can Simple Arithmetic Operations Do for Temporal Modeling? 2023-07-18 |
코드 1 · 코드 2 |
| DejaVid |
- Acc@1
- 89.1
- Acc@5
- 98.2
|
DejaVid: Encoder-Agnostic Learned Temporal Matching for Video Classification 2025-01-01 |
코드 1 |
| CoCa (finetuned) |
- Acc@1
- 88.9
|
CoCa: Contrastive Captioners are Image-Text Foundation Models 2022-05-04 |
코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 · 코드 6 |
| BIKE (CLIP ViT-L/14) |
- Acc@1
- 88.7
- Acc@5
- 98.4
|
Bidirectional Cross-Modal Knowledge Exploration for Video Recognition with Pre-trained Vision-Language Models 2022-12-31 |
코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 |
| ILA (ViT-L/14) |
- Acc@1
- 88.7
- Acc@5
- 97.8
|
Implicit Temporal Modeling with Learnable Alignment for Video Recognition 2023-04-20 |
코드 1 |
| Side4Video (EVA, ViT-E/14) |
- Acc@1
- 88.6
- Acc@5
- 98.2
|
Side4Video: Spatial-Temporal Side Network for Memory-Efficient Image-to-Video Transfer Learning 2023-11-27 |
코드 1 · 코드 2 |
| TubeVit-B (ImageNet-1k) |
- Acc@1
- 88.6
- Acc@5
- 97.6
- FLOPs (G) x views
- 8700x3x4
- Parameters (M)
- 86
|
Rethinking Video ViTs: Sparse Video Tubes for Joint Image and Video Learning 2022-12-06 |
코드 1 |
| VideoMAE V2-g |
- Acc@1
- 88.5
- Acc@5
- 98.1
|
VideoMAE V2: Scaling Video Masked Autoencoders with Dual Masking 2023-03-29 |
코드 1 |
| ONE-PEACE |
- Acc@1
- 88.1
- Acc@5
- 97.8
|
ONE-PEACE: Exploring One General Representation Model Toward Unlimited Modalities 2023-05-18 |
코드 1 · 코드 2 |
| FluxViT-S |
- Acc@1
- 88.0
- FLOPs (G) x views
- 154x3x4
- Parameters (M)
- 24
|
Make Your Training Flexible: Towards Deployment-Efficient Video Models 2025-03-18 |
코드 1 |
| CoCa (frozen) |
- Acc@1
- 88.0
|
CoCa: Contrastive Captioners are Image-Text Foundation Models 2022-05-04 |
코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 · 코드 6 |
| ViT-22B |
- Acc@1
- 88.0
|
Scaling Vision Transformers to 22 Billion Parameters 2023-02-10 |
코드 1 |
| Text4Vis (CLIP ViT-L/14) |
- Acc@1
- 87.8
- Acc@5
- 97.6
|
Revisiting Classifier: Transferring Vision-Language Models for Video Recognition 2022-07-04 |
코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 |