Domain Generalization On Gta To Avg

mIoU

النتائج

نتائج أداء النماذج المختلفة على هذا المعيار القياسي

جدول المقارنة

اسم النموذج	mIoU
a-re-parameterized-vision-transformer-revt	50.2
domain-adaptive-and-generalizable-network	55.9
textual-query-driven-mask-transformer-for	66.05
style-hallucinated-dual-consistency-learning	45.27
robustnet-improving-domain-generalization-in	37.37
semantic-aware-domain-generalized	42.43
two-at-once-enhancing-learning-and	34.63
global-and-local-texture-randomization-for	40.8
stronger-fewer-superior-harnessing-vision	64.3
sora-singular-value-decomposed-low-rank	68.27
collaborating-foundation-models-for-domain	61.5
domain-adaptive-and-generalizable-network	51.73
domain-randomization-and-pyramid-consistency	39.77
texture-learning-domain-randomization-for	47.09
adversarial-style-augmentation-for-domain-1	42.42
learning-content-enhanced-mask-transformer	51.10
diffusion-features-to-bridge-domain-gap-for	57.15
dginstyle-domain-generalizable-semantic	57.78
semantic-self-adaptation-enhancing	44,89
generalization-by-adaptation-diffusion-based	59.7
vltseg-simple-transfer-of-clip-based-vision	63.5
semantic-self-adaptation-enhancing	44,07