Papers with Code 아카이브

Salient Object Detection

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하위 태스크

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평가표

6

보존된 평가 기록

46

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://bitbucket.org/gsudmlab/multiscale_iou

공식 코드

Multiscale IoU: A Metric for Evaluation of Salient Object Detection with Fine Structures

https://git.openi.org.cn/OpenPointCloud/PCSOD

공식 코드

Salient Object Detection for Point Clouds

https://gitee.com/HarveyYeung/GLNet-TCYB2022-MindSpore.git

공식 코드

Global-and-Local Collaborative Learning for Co-Salient Object Detection

https://gitee.com/Lin-Qinwei/CIR-Net-MindSpore.git

공식 코드

CIR-Net: Cross-modality Interaction and Refinement for RGB-D Salient Object Detection

https://github.com/BarCodeReader/RCSB-PyTorch

공식 코드

Recursive Contour Saliency Blending Network for Accurate Salient Object Detection

https://github.com/BarCodeReader/SelfReformer

공식 코드

SelfReformer: Self-Refined Network with Transformer for Salient Object Detection

https://github.com/ChunbiaoZhu/PDNet

공식 코드

PDNet: Prior-model Guided Depth-enhanced Network for Salient Object Detection

https://github.com/CuiRuikai/SAM-SOD

공식 코드

Adaptive Low Rank Adaptation of Segment Anything to Salient Object Detection

https://github.com/DengPingFan/BBS-Net

공식 코드

RGB-D Salient Object Detection: A Survey

https://github.com/DengPingFan/CoEGNet

공식 코드

Re-thinking Co-Salient Object Detection

https://github.com/DengPingFan/D3NetBenchmark

공식 코드

Rethinking RGB-D Salient Object Detection: Models, Data Sets, and Large-Scale Benchmarks

https://github.com/DengPingFan/S-measure

공식 코드

Structure-measure: A New Way to Evaluate Foreground Maps

https://github.com/DengPingFan/SOC-DataAug

공식 코드

Salient Objects in Clutter

https://github.com/Diamond101010/RMMDF

공식 코드

Recursive Multi-model Complementary Deep Fusion forRobust Salient Object Detection via Parallel Sub Networks

https://github.com/EricFH/salient_object_ranking_with_PPA

공식 코드

Salient Object Ranking with Position-Preserved Attention

https://github.com/GewelsJI/FSNet

공식 코드

Full-Duplex Strategy for Video Object Segmentation

https://github.com/Hydragon516/SPSN

공식 코드

SPSN: Superpixel Prototype Sampling Network for RGB-D Salient Object Detection

https://github.com/I2-Multimedia-Lab/A2S-v3

공식 코드

Unified Unsupervised Salient Object Detection via Knowledge Transfer

https://github.com/I2-Multimedia-Lab/M3Net

공식 코드

M$^3$Net: Multilevel, Mixed and Multistage Attention Network for Salient Object Detection

https://github.com/I2-Multimedia-Lab/UGRAN

공식 코드

Uncertainty Guided Refinement for Fine-Grained Salient Object Detection

https://github.com/JingZhang617/Joint_COD_SOD

공식 코드

Uncertainty-aware Joint Salient Object and Camouflaged Object Detection

https://github.com/JingZhang617/Scribble_Saliency

공식 코드

Weakly-Supervised Salient Object Detection via Scribble Annotations

https://github.com/Jinming-Su/PurNet

공식 코드

Salient Object Detection with Purificatory Mechanism and Structural Similarity Loss

https://github.com/Jinming-Su/TSOD

공식 코드

Exploring Driving-aware Salient Object Detection via Knowledge Transfer

https://github.com/JosephChenHub/DPANet

공식 코드

DPANet: Depth Potentiality-Aware Gated Attention Network for RGB-D Salient Object Detection

https://github.com/JosephChenHub/GCPANet

공식 코드

Global Context-Aware Progressive Aggregation Network for Salient Object Detection

https://github.com/Karel911/TRACER

공식 코드

TRACER: Extreme Attention Guided Salient Object Tracing Network

https://github.com/KupynOrest/instance_augmentation

공식 코드

Dataset Enhancement with Instance-Level Augmentations

https://github.com/LA30/Cas-Gnn

공식 코드

Cascade Graph Neural Networks for RGB-D Salient Object Detection

https://github.com/Lucia-Ningning/Adaptive_Fusion_RGBD_Saliency_Detection

공식 코드

Adaptive Fusion for RGB-D Salient Object Detection

https://github.com/Lx-Bao/QSFNet

공식 코드

Quality-aware Selective Fusion Network for V-D-T Salient Object Detection

https://github.com/MathLee/CMWNet

공식 코드

Cross-Modal Weighting Network for RGB-D Salient Object Detection

https://github.com/MathLee/ICNet-for-RGBD-SOD

공식 코드

RGB-D Salient Object Detection: A Survey

https://github.com/Mehrdad-Noori/CAGNet

공식 코드

CAGNet: Content-Aware Guidance for Salient Object Detection

https://github.com/Mehrdad-Noori/Saliency-Evaluation-Toolbox

공식 코드

CAGNet: Content-Aware Guidance for Salient Object Detection

https://github.com/NathanUA/U-2-Net

공식 코드

U$^2$-Net: Going Deeper with Nested U-Structure for Salient Object Detection

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.