Papers with Code 아카이브

RGB Salient Object Detection

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하위 태스크: 3
평가표: 13
보존된 평가 기록: 159

RGB Salient object detection is a task-based on a visual attention mechanism, in which algorithms aim to explore objects or regions more attentive than the surrounding areas on the scene or RGB images.

<span style="color:grey; opacity: 0.6">( Image credit: Attentive Feedback Network for Boundary-Aware Salient Object Detection )</span>

코드

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

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

공식 코드

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

https://github.com/ChunbiaoZhu/PDNet

공식 코드

PDNet: Prior-model Guided Depth-enhanced Network for 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/Diamond101010/RMMDF

공식 코드

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

https://github.com/GewelsJI/FSNet

공식 코드

Full-Duplex Strategy for Video Object Segmentation

https://github.com/GewelsJI/SINet-V2

공식 코드

Concealed Object Detection

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/JingZhang617/Scribble_Saliency

공식 코드

Weakly-Supervised Salient Object Detection via Scribble Annotations

https://github.com/JingZhang617/UCNet

공식 코드

Uncertainty Inspired RGB-D Saliency Detection

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

공식 코드

Salient Object Detection with Purificatory Mechanism and Structural Similarity Loss

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/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/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/Mhaiyang/CVPR2021_PFNet

공식 코드

Camouflaged Object Segmentation with Distraction Mining

https://github.com/MichaelFan01/STDC-Seg

공식 코드

Rethinking BiSeNet For Real-time Semantic Segmentation

https://github.com/NUST-Machine-Intelligence-Laboratory/HFAN

공식 코드

Hierarchical Feature Alignment Network for Unsupervised Video Object Segmentation

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

공식 코드

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

https://github.com/OIPLab-DUT/CoNet

공식 코드

Accurate RGB-D Salient Object Detection via Collaborative Learning

https://github.com/PJLallen/InstanceSAM2Eval

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Evaluation Study on SAM 2 for Class-agnostic Instance-level Segmentation

https://github.com/PanoAsh/F-360iSOD

공식 코드

A Fixation-based 360° Benchmark Dataset for Salient Object Detection

https://github.com/Panorama-Bill/F-360iSOD

공식 코드

A Fixation-based 360° Benchmark Dataset for Salient Object Detection

https://github.com/PramaLLC/BEN

공식 코드

BEN: Using Confidence-Guided Matting for Dichotomous Image Segmentation

https://github.com/ShangHua-Gao/SOD100K

공식 코드

Highly Efficient Salient Object Detection with 100K Parameters

https://github.com/ShuhanChen/PGAR_ECCV20

공식 코드

RGB-D Salient Object Detection: A Survey

https://github.com/Sina-Mohammadi/DFNet

공식 코드

DFNet: Discriminative feature extraction and integration network for salient object detection

https://github.com/TJUMMG/DS-Net

공식 코드

DS-Net: Dynamic Spatiotemporal Network for Video Salient Object Detection

https://github.com/Xiaoqi-Zhao-DLUT/DANet-RGBD-Saliency

공식 코드

A Single Stream Network for Robust and Real-time RGB-D Salient Object Detection

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