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Semantic Segmentation On Nyu Depth V2

Metrics

Mean IoU

Results

Performance results of various models on this benchmark

Paper TitleRepository
OmniVec263.6OmniVec2 - A Novel Transformer based Network for Large Scale Multimodal and Multitask Learning-
DiffusionMMS (DAT++-S)61.5Diffusion-based RGB-D Semantic Segmentation with Deformable Attention Transformer-
GeminiFusion (Swin-Large)60.9GeminiFusion: Efficient Pixel-wise Multimodal Fusion for Vision Transformer
OmniVec60.8OmniVec: Learning robust representations with cross modal sharing-
GeminiFusion (Swin-Large)60.2GeminiFusion: Efficient Pixel-wise Multimodal Fusion for Vision Transformer
DPLNet59.3Efficient Multimodal Semantic Segmentation via Dual-Prompt Learning
EMSANet (2x ResNet-34 NBt1D, PanopticNDT version, finetuned)59.02PanopticNDT: Efficient and Robust Panoptic Mapping
SwinMTL58.14%SwinMTL: A Shared Architecture for Simultaneous Depth Estimation and Semantic Segmentation from Monocular Camera Images
PolyMaX(ConvNeXt-L)58.08%PolyMaX: General Dense Prediction with Mask Transformer
HSPFormer(PVT v2-B4)57.8%HSPFormer: Hierarchical Spatial Perception Transformer for Semantic Segmentation-
GeminiFusion (MiT-B5)57.7GeminiFusion: Efficient Pixel-wise Multimodal Fusion for Vision Transformer
DFormer-L57.2%DFormer: Rethinking RGBD Representation Learning for Semantic Segmentation
CMNeXt (B4)56.9%Delivering Arbitrary-Modal Semantic Segmentation
CMX (B5)56.9%CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers
GeminiFusion (MiT-B3)56.8GeminiFusion: Efficient Pixel-wise Multimodal Fusion for Vision Transformer
OMNIVORE (Swin-L, finetuned)56.8%Omnivore: A Single Model for Many Visual Modalities
CMX (B4)56.3%CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers
MultiMAE (ViT-B)56.0%MultiMAE: Multi-modal Multi-task Masked Autoencoders
SMMCL (SegNeXt-B)55.8%Understanding Dark Scenes by Contrasting Multi-Modal Observations
DFormer-B55.6%DFormer: Rethinking RGBD Representation Learning for Semantic Segmentation
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Semantic Segmentation On Nyu Depth V2 | SOTA | HyperAI