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홈 뉴스 최신 연구 논문 튜토리얼 데이터셋 백과사전 SOTA LLM 모델 GPU 랭킹 컨퍼런스

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Semantic Segmentation On Synpass

평가 지표

mIoU

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름	mIoU	Paper Title	Repository
PVT	32.68%	Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions
Trans4PASS+	39.16%	Behind Every Domain There is a Shift: Adapting Distortion-aware Vision Transformers for Panoramic Semantic Segmentation
Fast-SCNN	21.30%	Fast-SCNN: Fast Semantic Segmentation Network
DeepLabv3+	29.66%	Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
Trans4PASS	38.57%	Bending Reality: Distortion-aware Transformers for Adapting to Panoramic Semantic Segmentation
SegFomrer	37.24%	SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers

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Semantic Segmentation On Synpass | SOTA | HyperAI초신경