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Models/GeminiFusion (Swin-Large)

GeminiFusion (Swin-Large)

Reported on 4 benchmarks across 2 tasks · 1 paper · 4 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Medical3 results

Semantic SegmentationonSUN-RGBD
Mean IoU· 2024-06-03
54.6
SOTA
GeminiFusion: Efficient Pixel-wise Multimodal Fusion for Vision Transformer arXiv:2406.01210
Semantic SegmentationonNYU Depth v2
Mean IoU· uses extra data· 2024-06-03
60.9
best: 63.6 (OmniVec2)
SOTA
GeminiFusion: Efficient Pixel-wise Multimodal Fusion for Vision Transformer arXiv:2406.01210
Semantic SegmentationonNYU Depth v2
Mean IoU· 2024-06-03
60.2
best: 63.6 (OmniVec2)
GeminiFusion: Efficient Pixel-wise Multimodal Fusion for Vision Transformer arXiv:2406.01210

Audio3 results

10-shot image generationonSUN-RGBD
Mean IoU· 2024-06-03
54.6
SOTA
GeminiFusion: Efficient Pixel-wise Multimodal Fusion for Vision Transformer arXiv:2406.01210
10-shot image generationonNYU Depth v2
Mean IoU· uses extra data· 2024-06-03
60.9
best: 63.6 (OmniVec2)
SOTA
GeminiFusion: Efficient Pixel-wise Multimodal Fusion for Vision Transformer arXiv:2406.01210
10-shot image generationonNYU Depth v2
Mean IoU· 2024-06-03
60.2
best: 63.6 (OmniVec2)
GeminiFusion: Efficient Pixel-wise Multimodal Fusion for Vision Transformer arXiv:2406.01210