Papers with Code · CC BY-SA 4.0

DUTS-TE

아카이브 평가 31건 · 마지막 적재/변경 2026-10-30

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
BiRefNet (DUTS, HRSOD, UHRSD)	MAE 0.018 max F-measure 0.943 S-Measure 0.944 mean E-Measure 0.962 mean F-Measure 0.925 Weighted F-Measure 0.920	Bilateral Reference for High-Resolution Dichotomous Image Segmentation 2024-01-07	코드 1
BiRefNet (DUTS, UHRSD)	MAE 0.018 max F-measure 0.942 S-Measure 0.942 mean E-Measure 0.961 mean F-Measure 0.925 Weighted F-Measure 0.919	Bilateral Reference for High-Resolution Dichotomous Image Segmentation 2024-01-07	코드 1
BiRefNet (DUTS)	MAE 0.019 max F-measure 0.937 S-Measure 0.939 mean E-Measure 0.958 mean F-Measure 0.919 Weighted F-Measure 0.913	Bilateral Reference for High-Resolution Dichotomous Image Segmentation 2024-01-07	코드 1
BiRefNet (DUTS, HRSOD)	MAE 0.018 max F-measure 0.935 S-Measure 0.938 mean E-Measure 0.960 mean F-Measure 0.923 Weighted F-Measure 0.918	Bilateral Reference for High-Resolution Dichotomous Image Segmentation 2024-01-07	코드 1
BiRefNet (HRSOD, UHRSD)	MAE 0.020 max F-measure 0.928 S-Measure 0.933 mean E-Measure 0.954 mean F-Measure 0.913 Weighted F-Measure 0.907	Bilateral Reference for High-Resolution Dichotomous Image Segmentation 2024-01-07	코드 1
InSPyReNet	MAE 0.024 max F-measure 0.892 S-Measure 0.931	Revisiting Image Pyramid Structure for High Resolution Salient Object Detection 2022-09-20	코드 1 · 코드 2 · 코드 3
M3Net-S	MAE 0.024 S-Measure 0.927 Weighted F-Measure 0.902	M$^3$Net: Multilevel, Mixed and Multistage Attention Network for Salient Object Detection 2023-09-15	코드 1
TRACER-TE7	MAE 0.022 max F-measure 0.932 S-Measure 0.919 mean F-Measure 0.904	TRACER: Extreme Attention Guided Salient Object Tracing Network 2021-12-14	코드 1
M3Net-R	MAE 0.036 S-Measure 0.897 Weighted F-Measure 0.849	M$^3$Net: Multilevel, Mixed and Multistage Attention Network for Salient Object Detection 2023-09-15	코드 1
UCNet-ABP	MAE 0.034 S-Measure 0.890 mean E-Measure 0.931 mean F-Measure 0.864	Uncertainty Inspired RGB-D Saliency Detection 2020-09-07	코드 1 · 코드 2 · 코드 3 · 코드 4
UCNet-CVAE	MAE 0.034 S-Measure 0.888 mean E-Measure 0.927 mean F-Measure 0.860	Uncertainty Inspired RGB-D Saliency Detection 2020-09-07	코드 1 · 코드 2 · 코드 3 · 코드 4
BASNet	MAE 0.047 S-Measure 0.876 mean E-Measure 0.896 mean F-Measure 0.823	BASNet: Boundary-Aware Salient Object Detection 2019-06-01	코드 1 · 코드 2 · 코드 3
CFDN	MAE 0.048 max F-measure 0.859 S-Measure 0.871	Saliency Detection via Global Context Enhanced Feature Fusion and Edge Weighted Loss 2021-10-13	연결 없음
DGRL	MAE 0.049 max F-measure 0.828 S-Measure 0.846 mean E-Measure 0.887 mean F-Measure 0.790	Detect Globally, Refine Locally: A Novel Approach to Saliency Detection 2018-06-01	연결 없음
PiCANet	MAE 0.050 max F-measure 0.863 S-Measure 0.842 mean E-Measure 0.853 mean F-Measure 0.757	PiCANet: Learning Pixel-wise Contextual Attention for Saliency Detection 2017-08-21	코드 1 · 코드 2
HybridSOD	MAE 0.05 S-Measure 0.837	A Weakly Supervised Learning Framework for Salient Object Detection via Hybrid Labels 2022-09-07	코드 1 · 코드 2 · 코드 3
P2T-Small	MAE 0.029 max F-measure 0.912	P2T: Pyramid Pooling Transformer for Scene Understanding 2021-06-22	코드 1 · 코드 2 · 코드 3 · 코드 4
P2T-Tiny	MAE 0.033 max F-measure 0.895	P2T: Pyramid Pooling Transformer for Scene Understanding 2021-06-22	코드 1 · 코드 2 · 코드 3 · 코드 4
PoolNet (VGG-16)	MAE 0.036 max F-measure 0.892	A Simple Pooling-Based Design for Real-Time Salient Object Detection 2019-04-21	코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5
PAGR	MAE 0.055 max F-measure 0.854	Progressive Attention Guided Recurrent Network for Salient Object Detection 2018-06-01	코드 1
SRM	MAE 0.058 max F-measure 0.826	A Stagewise Refinement Model for Detecting Salient Objects in Images 2017-10-01	코드 1
MSR	MAE 0.062 max F-measure 0.824	Instance-Level Salient Object Segmentation 2017-04-12	연결 없음
NLDF	MAE 0.065 max F-measure 0.816	Non-Local Deep Features for Salient Object Detection 2017-07-01	코드 1 · 코드 2
DHS	MAE 0.065 max F-measure 0.815	DHSNet: Deep Hierarchical Saliency Network for Salient Object Detection 2016-06-01	연결 없음
DSS	MAE 0.065 max F-measure 0.813	Deeply supervised salient object detection with short connections 2016-11-15	코드 1 · 코드 2 · 코드 3 · 코드 4
DCL	MAE 0.081 max F-measure 0.786	Deep Contrast Learning for Salient Object Detection 2016-03-07	연결 없음
Amulet	MAE 0.075 max F-measure 0.773	Amulet: Aggregating Multi-level Convolutional Features for Salient Object Detection 2017-08-07	코드 1
UCF	MAE 0.116 max F-measure 0.771	Learning Uncertain Convolutional Features for Accurate Saliency Detection 2017-08-07	코드 1
C4Net	MAE 0.029 mean E-Measure 0.937 mean F-Measure 0.886	C$^{4}$Net: Contextual Compression and Complementary Combination Network for Salient Object Detection 2021-10-22	연결 없음
CPDR-L	MAE 0.034 mean E-Measure 0.931 mean F-Measure 0.853	CPDR: Towards Highly-Efficient Salient Object Detection via Crossed Post-decoder Refinement 2025-01-11	연결 없음