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Semantic Segmentation On Spectralwaste

Metrics

mIoU

Results

Performance results of various models on this benchmark

Paper Title
CMX (RGB-HYPER)58.2CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers
CMX ( RGB-HYPER3 )56.6CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers
SegFormer (HYPER)54.3SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers
SegFormer (HYPER3)53.5SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers
MiniNet (HYPER)52.8MiniNet: An extremely lightweight convolutional neural network for real-time unsupervised monocular depth estimation
MiniNet (HYPER3)49.0MiniNet: An extremely lightweight convolutional neural network for real-time unsupervised monocular depth estimation
SegFormer (RGB)48.4SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers
MiniNet (RGB)44.5MiniNet: An extremely lightweight convolutional neural network for real-time unsupervised monocular depth estimation
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Semantic Segmentation On Spectralwaste | SOTA | HyperAI