HyperAI초신경

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

한국어

HyperAI초신경

Salient Object Detection On Dut Omron

평가 지표

MAE

S-Measure

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름	MAE	S-Measure	Paper Title	Repository
UCNet-ABP	0.050	0.843	Uncertainty Inspired RGB-D Saliency Detection
TRACER-TE7	0.045	0.855	TRACER: Extreme Attention Guided Salient Object Tracing Network
BiRefNet (HRSOD, UHRSD)	0.040	0.864	Bilateral Reference for High-Resolution Dichotomous Image Segmentation
CPDR-L	0.048	-	CPDR: Towards Highly-Efficient Salient Object Detection via Crossed Post-decoder Refinement	-
BiRefNet (DUTS, UHRSD)	0.036	0.881	Bilateral Reference for High-Resolution Dichotomous Image Segmentation
TRACER-(ResNet50)	0.050	-	TRACER: Extreme Attention Guided Salient Object Tracing Network
InSPyReNet	0.045	0.875	Revisiting Image Pyramid Structure for High Resolution Salient Object Detection
DSS (Res2Net-50)	0.071	-	Res2Net: A New Multi-scale Backbone Architecture
BiRefNet (DUTS, HRSOD)	0.040	0.868	Bilateral Reference for High-Resolution Dichotomous Image Segmentation
M3Net-R	0.061	0.848	M$^3$Net: Multilevel, Mixed and Multistage Attention Network for Salient Object Detection
BiRefNet (DUTS, HRSOD, UHRSD)	0.038	0.882	Bilateral Reference for High-Resolution Dichotomous Image Segmentation
CPD-R (ResNet50)	0.056	-	Cascaded Partial Decoder for Fast and Accurate Salient Object Detection
UCNet-CVAE	0.051	0.839	Uncertainty Inspired RGB-D Saliency Detection
C4Net	0.047	-	C$^{4}$Net: Contextual Compression and Complementary Combination Network for Salient Object Detection	-
BiRefNet (DUTS)	0.040	0.868	Bilateral Reference for High-Resolution Dichotomous Image Segmentation
PoolNet (VGG-16)	0.053	-	A Simple Pooling-Based Design for Real-Time Salient Object Detection
M3Net-S	0.045	0.872	M$^3$Net: Multilevel, Mixed and Multistage Attention Network for Salient Object Detection
BASNet	0.056	-	BASNet: Boundary-Aware Salient Object Detection	-

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