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NJU2K

아카이브 평가 27건 · 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
DFormer-L	S-Measure 93.7 Average MAE 0.023 max E-Measure 96.4 max F-Measure 94.6	DFormer: Rethinking RGBD Representation Learning for Semantic Segmentation 2023-09-18	코드 1
CoLANet	S-Measure 93.4 Average MAE 0.029 max E-Measure 94.7 max F-Measure 91.3	CoLA: Conditional Dropout and Language-driven Robust Dual-modal Salient Object Detection 2024-07-09	코드 1
BTS-Net	S-Measure 92.1 Average MAE 0.036 max E-Measure 95.4 max F-Measure 92.4	BTS-Net: Bi-directional Transfer-and-Selection Network For RGB-D Salient Object Detection 2021-04-05	코드 1
SPSN	S-Measure 91.8 Average MAE 0.032 max E-Measure 95.0 max F-Measure 92.0	SPSN: Superpixel Prototype Sampling Network for RGB-D Salient Object Detection 2022-07-16	코드 1
BiANet	S-Measure 91.5 Average MAE 0.039 max E-Measure 94.8 max F-Measure 92.0	Bilateral Attention Network for RGB-D Salient Object Detection 2020-04-30	코드 1
CAS-GNN	S-Measure 91.1 Average MAE 0.035	Cascade Graph Neural Networks for RGB-D Salient Object Detection 2020-08-07	코드 1
HDFNet	S-Measure 91.1 Average MAE 0.037	Hierarchical Dynamic Filtering Network for RGB-D Salient Object Detection 2020-07-13	코드 1
JL-DCF*	S-Measure 91.1 Average MAE 0.040 max E-Measure 94.8 max F-Measure 91.3	Siamese Network for RGB-D Salient Object Detection and Beyond 2020-08-26	코드 1 · 코드 2
CMMS	S-Measure 90.4 Average MAE 0.044	RGB-D Salient Object Detection with Cross-Modality Modulation and Selection 2020-07-14	코드 1
JL-DCF	S-Measure 90.3 Average MAE 0.043 max E-Measure 94.4 max F-Measure 90.3	JL-DCF: Joint Learning and Densely-Cooperative Fusion Framework for RGB-D Salient Object Detection 2020-04-18	코드 1
CMWNet	S-Measure 90.3 Average MAE 0.046	Cross-Modal Weighting Network for RGB-D Salient Object Detection 2020-07-09	코드 1 · 코드 2
UCNet-CVAE	S-Measure 90.2 Average MAE 0.039	Uncertainty Inspired RGB-D Saliency Detection 2020-09-07	코드 1 · 코드 2 · 코드 3 · 코드 4
DASNet	S-Measure 90.2 Average MAE 0.042 max F-Measure 91.1	Is Depth Really Necessary for Salient Object Detection? 2020-05-30	코드 1
UCNet-ABP	S-Measure 90.0 Average MAE 0.039	Uncertainty Inspired RGB-D Saliency Detection 2020-09-07	코드 1 · 코드 2 · 코드 3 · 코드 4
D3Net	S-Measure 90.0 Average MAE 0.046 max E-Measure 93.9 max F-Measure 90.0	Rethinking RGB-D Salient Object Detection: Models, Data Sets, and Large-Scale Benchmarks 2019-07-15	코드 1 · 코드 2
SSF	S-Measure 89.9 Average MAE 0.043	Select, Supplement and Focus for RGB-D Saliency Detection 2020-06-01	코드 1
UC-Net	S-Measure 89.7 Average MAE 0.043	UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational Autoencoders 2020-04-13	코드 1
DANet	S-Measure 89.7 Average MAE 0.046 max F-Measure 90.5	A Single Stream Network for Robust and Real-time RGB-D Salient Object Detection 2020-07-14	코드 1
DQSD-VGG19	S-Measure 89.7 Average MAE 0.052	Depth Quality Aware Salient Object Detection 2020-08-07	코드 1
CoNet	S-Measure 89.4 Average MAE 0.047	Accurate RGB-D Salient Object Detection via Collaborative Learning 2020-07-23	코드 1 · 코드 2
S2MA	S-Measure 89.4 Average MAE 0.053 max E-Measure 92.7 max F-Measure 88.9	Learning Selective Self-Mutual Attention for RGB-D Saliency Detection 2020-06-01	코드 1
DMRA	S-Measure 88.6 Average MAE 0.051 max E-Measure 92.7 max F-Measure 88.6	Depth-Induced Multi-Scale Recurrent Attention Network for Saliency Detection 2019-10-01	코드 1
CPFP	S-Measure 87.8 Average MAE 0.053 max E-Measure 92.6 max F-Measure 87.7	Contrast Prior and Fluid Pyramid Integration for RGBD Salient Object Detection 2019-06-01	코드 1 · 코드 2
PCF	S-Measure 87.7 Average MAE 0.059 max E-Measure 92.4 max F-Measure 87.2	Progressively Complementarity-Aware Fusion Network for RGB-D Salient Object Detection 2018-06-01	코드 1
LBE	S-Measure 69.5 Average MAE 0.153 max E-Measure 80.3 max F-Measure 74.8	Local Background Enclosure for RGB-D Salient Object Detection 2016-06-01	연결 없음
LHM	S-Measure 51.4 Average MAE 0.205 max E-Measure 72.4 max F-Measure 63.2	RGBD Salient Object Detection via Deep Fusion 2016-07-12	연결 없음
A2dele	Average MAE 0.051	A2dele: Adaptive and Attentive Depth Distiller for Efficient RGB-D Salient Object Detection 2020-06-01	코드 1