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

한국어

HyperAI초신경

Salient Object Detection On Pascal S

평가 지표

F-measure

MAE

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름	F-measure	MAE	Paper Title	Repository
PoolNet (VGG-16)	0.88	0.065	A Simple Pooling-Based Design for Real-Time Salient Object Detection	-
DSS (Res2Net-50)	0.841	0.099	Res2Net: A New Multi-scale Backbone Architecture	-
TRACER-TE7	0.909	0.047	TRACER: Extreme Attention Guided Salient Object Tracing Network	-
BMPM	-	0.074	A Bi-Directional Message Passing Model for Salient Object Detection	-
InSPyReNet	0.893	0.048	Revisiting Image Pyramid Structure for High Resolution Salient Object Detection	-
C4Net	-	0.055	C$^{4}$Net: Contextual Compression and Complementary Combination Network for Salient Object Detection	-
HybridSOD	-	0.076	A Weakly Supervised Learning Framework for Salient Object Detection via Hybrid Labels	-
M3Net-R	-	0.06	M$^3$Net: Multilevel, Mixed and Multistage Attention Network for Salient Object Detection	-
BASNet	-	0.076	BASNet: Boundary-Aware Salient Object Detection	-
CPDR-L	-	0.061	CPDR: Towards Highly-Efficient Salient Object Detection via Crossed Post-decoder Refinement	-
CPD-R (ResNet50)	0.824	0.072	Cascaded Partial Decoder for Fast and Accurate Salient Object Detection	-
M3Net-S	-	0.047	M$^3$Net: Multilevel, Mixed and Multistage Attention Network for Salient Object Detection	-
CFDN	0.891	0.039	Saliency Detection via Global Context Enhanced Feature Fusion and Edge Weighted Loss	-

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Salient Object Detection On Pascal S | SOTA | HyperAI초신경