← RGB-D Salient Object Detection

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아카이브 평가 16건 · 마지막 적재/변경 2026-10-30

원본 데이터셋 링크 1

평가 기록

과거 수집 기록이며 최신 순위가 아닙니다. 데이터셋 버전·split·실험 조건과 지표 방향이 검증되지 않은 결과는 직접 비교할 수 없습니다. 날짜는 논문 날짜이며 최신 평가일을 뜻하지 않습니다.

표가 화면보다 넓으면 좌우로 스크롤하여 논문과 구현 링크를 확인하세요.

원본 기록 순서 · 순위 미부여
모델	원본 지표·값	논문	구현
DFormer-L	S-Measure 91.5 max E-Measure 95.0 max F-Measure 93.8 Average MAE 0.032	DFormer: Rethinking RGBD Representation Learning for Semantic Segmentation 2023-09-18	코드 1
VST	S-Measure 90.4 max E-Measure 94.4 max F-Measure 91.5 Average MAE 0.040	Visual Saliency Transformer 2021-04-25	코드 1 · 코드 2
BTS-Net	S-Measure 89.6 max E-Measure 93.3 max F-Measure 90.1 Average MAE 0.044	BTS-Net: Bi-directional Transfer-and-Selection Network For RGB-D Salient Object Detection 2021-04-05	코드 1
CoLANet	S-Measure 89.5 max E-Measure 93.5 max F-Measure 89.4 Average MAE 0.042	CoLA: Conditional Dropout and Language-driven Robust Dual-modal Salient Object Detection 2024-07-09	코드 1
SPSN	S-Measure 89.2 max E-Measure 93.4 max F-Measure 89.9 Average MAE 0.042	SPSN: Superpixel Prototype Sampling Network for RGB-D Salient Object Detection 2022-07-16	코드 1
JL-DCF*	S-Measure 89.2 max E-Measure 94.9 max F-Measure 90.0 Average MAE 0.046	Siamese Network for RGB-D Salient Object Detection and Beyond 2020-08-26	코드 1 · 코드 2
UCNet-CVAE	S-Measure 88.3 Average MAE 0.045	Uncertainty Inspired RGB-D Saliency Detection 2020-09-07	코드 1 · 코드 2 · 코드 3 · 코드 4
BiANet	S-Measure 88.3 max E-Measure 92.5 max F-Measure 89.0 Average MAE 0.052	Bilateral Attention Network for RGB-D Salient Object Detection 2020-04-30	코드 1
JL-DCF	S-Measure 87.9 max E-Measure 92.3 max F-Measure 88.5 Average MAE 0.051	JL-DCF: Joint Learning and Densely-Cooperative Fusion Framework for RGB-D Salient Object Detection 2020-04-18	코드 1
BBS-Net	S-Measure 87.9 max E-Measure 92.2 max F-Measure 88.3 Average MAE 0.055	Bifurcated backbone strategy for RGB-D salient object detection 2020-07-06	코드 1 · 코드 2
UCNet-ABP	S-Measure 87.6 Average MAE 0.049	Uncertainty Inspired RGB-D Saliency Detection 2020-09-07	코드 1 · 코드 2 · 코드 3 · 코드 4
UC-Net	S-Measure 87.5 Average MAE 0.051	UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational Autoencoders 2020-04-13	코드 1
PGAR	S-Measure 87.5 Average MAE 0.059	Progressively Guided Alternate Refinement Network for RGB-D Salient Object Detection 2020-08-17	코드 1
D3Net	S-Measure 86.0 max E-Measure 90.9 max F-Measure 86.1 Average MAE 0.063	Rethinking RGB-D Salient Object Detection: Models, Data Sets, and Large-Scale Benchmarks 2019-07-15	코드 1 · 코드 2
CPFP	S-Measure 85.0 max E-Measure 90.3 max F-Measure 85.1 Average MAE 0.064	Contrast Prior and Fluid Pyramid Integration for RGBD Salient Object Detection 2019-06-01	코드 1 · 코드 2
DDNet	Average MAE 0.043	Densely Deformable Efficient Salient Object Detection Network 2021-02-12	코드 1