Semantic Segmentation On Densepass

المقاييس

mIoU

النتائج

نتائج أداء النماذج المختلفة على هذا المعيار القياسي

جدول المقارنة

اسم النموذج	mIoU
pyramid-vision-transformer-a-versatile	31.20%
issafe-improving-semantic-segmentation-in	32.04%
taking-a-closer-look-at-domain-shift-category	31.46%
erfnet-efficient-residual-factorized-convnet	16.65%
seamless-scene-segmentation	34.14%
behind-every-domain-there-is-a-shift-adapting	57.23%
differential-treatment-for-stuff-and-things-a	44.58%
segformer-simple-and-efficient-design-for	38.5%
rethinking-semantic-segmentation-from-a	35.6%
bending-reality-distortion-aware-transformers	55.25%
behind-every-domain-there-is-a-shift-adapting	56.45%
dual-attention-network-for-scene-segmentation	28.5%
fast-scnn-fast-semantic-segmentation-network	24.6%
capturing-omni-range-context-for	43.02%
segformer-simple-and-efficient-design-for	42.4%
universal-semi-supervised-semantic	30.87%
universal-semi-supervised-semantic	26.98%
prototypical-cross-domain-self-supervised	53.83%
disentangled-non-local-neural-networks	32.1%
as-mlp-an-axial-shifted-mlp-architecture-for	42.05%
daformer-improving-network-architectures-and	54.67%
bending-reality-distortion-aware-transformers	56.38%
encoder-decoder-with-atrous-separable	32.5%
real-time-semantic-segmentation-with-fast	26.9%
transfer-beyond-the-field-of-view-dense	41.99%
in-defense-of-pre-trained-imagenet	25.67%
confidence-regularized-self-training	31.67%
pyramid-scene-parsing-network	29.5%
transfer-beyond-the-field-of-view-dense	48.52%
panoptic-feature-pyramid-networks	28.8%
rethinking-semantic-segmentation-from-a	35.7%
dpt-deformable-patch-based-transformer-for	36.50%
ds-pass-detail-sensitive-panoramic-annular	23.66%
understanding-the-robustness-in-vision	42.54%
metaformer-is-actually-what-you-need-for	43.18%
cyclemlp-a-mlp-like-architecture-for-dense	40.16%