Model card
ViTDet-H.
Meta AIopen-sourceUnknown paramsPlain ViT-Huge + Cascade Mask R-CNN
Plain non-hierarchical ViT for detection. 53.4 APbox on LVIS v1.0. NeurIPS 2022.
§ 01 · Benchmarks
Every benchmark ViTDet-H has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | LVIS v1.0 | Computer Vision · Object Detection | mask-ap | 53.4% | #7 | — | source ↗ |
Rank column shows this model’s position vs all other models scored on the same benchmark + metric (competitors after the slash). #1 in red means current SOTA. Sorted by rank, then newest result.
§ 04 · Related models
Other Meta AI models scored on Codesota.
GENRE
1 result · 1 SOTA
SeamlessM4T v2 Large
2.3B params · 1 result · 1 SOTA
DINOv2 (ViT-g) + Linear
Unknown params · 1 result
Fairseq S2T (MuST-C)
~150M params · 1 result
Mask2Former (Swin-L)
Unknown params · 1 result
MusicGen Large
3.3B params · 1 result
Voicebox
330M params · 1 result
convnext_base.fb_in22k_ft_in1k
1 result
§ 05 · Sources & freshness
Where these numbers come from.
arxiv
1
result
0 of 1 rows marked verified.