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://github.com/mengkesong/saliency-ranking-paradigm

공식 코드

Rethinking Object Saliency Ranking: A Novel Whole-flow Processing Paradigm

https://github.com/mingzelucasni/ce-attack

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Cross-Entropy Attacks to Language Models via Rare Event Simulation

https://github.com/moothes/a2s-usod

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Activation to Saliency: Forming High-Quality Labels for Completely Unsupervised Salient Object Detection

https://github.com/moothes/a2s-v2

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Texture-guided Saliency Distilling for Unsupervised Salient Object Detection

https://github.com/moothes/salod

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Benchmarking Deep Models for Salient Object Detection

https://github.com/new-stone-object/DNTD

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Densely Nested Top-Down Flows for Salient Object Detection

https://github.com/nexiakele/AMSODFirst

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Salient Object Detection From Arbitrary Modalities

https://github.com/nian-liu/PiCANet

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PiCANet: Pixel-wise Contextual Attention Learning for Accurate Saliency Detection

https://github.com/nifangbaage/explicit-visual-prompt

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Explicit Visual Prompting for Low-Level Structure Segmentations

https://github.com/nnizhang/SMAC

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Learning Selective Mutual Attention and Contrast for RGB-D Saliency Detection

https://github.com/noelshin/selfmask

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Unsupervised Salient Object Detection with Spectral Cluster Voting

https://github.com/nuaacj/mpi

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MPI: Multi-receptive and Parallel Integration for Salient Object Detection

https://github.com/nuaayh/agnet

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Attention Guided Network for Salient Object Detection in Optical Remote Sensing Images

https://github.com/nuaayh/mscnet

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A lightweight multi-scale context network for salient object detection in optical remote sensing images

https://github.com/oiplab-dut/mfnet

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MFNet: Multi-filter Directive Network for Weakly Supervised Salient Object Detection

https://github.com/piggy2021/ALGRF

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Video Salient Object Detection via Adaptive Local-Global Refinement

https://github.com/piggyjerry/dc-net

공식 코드

DC-Net: Divide-and-Conquer for Salient Object Detection

https://github.com/plemeri/inspyrenet

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Revisiting Image Pyramid Structure for High Resolution Salient Object Detection

https://github.com/plemeri/transparent-background

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Revisiting Image Pyramid Structure for High Resolution Salient Object Detection

https://github.com/qduOliver/MQP

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A Novel Video Salient Object Detection Method via Semi-supervised Motion Quality Perception

https://github.com/qyh-bit/hsod-bit-v2

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HSOD-BIT-V2: A New Challenging Benchmarkfor Hyperspectral Salient Object Detection

https://github.com/rmcong/CoADNet_NeurIPS20

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CoADNet: Collaborative Aggregation-and-Distribution Networks for Co-Salient Object Detection

https://github.com/rmcong/DAFNet_TIP20

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Dense Attention Fluid Network for Salient Object Detection in Optical Remote Sensing Images

https://github.com/rmcong/EORSSD-dataset

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Dense Attention Fluid Network for Salient Object Detection in Optical Remote Sensing Images

https://github.com/rmcong/Hybrid-Label-SOD_TCSVT2022

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A Weakly Supervised Learning Framework for Salient Object Detection via Hybrid Labels

https://github.com/robert-xiaoqiang/ds-net

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Boosting RGB-D Saliency Detection by Leveraging Unlabeled RGB Images

https://github.com/ruizvitor/ANDA

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ANDA: A Novel Data Augmentation Technique Applied to Salient Object Detection

https://github.com/shaohuadong2021/dplnet

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Efficient Multimodal Semantic Segmentation via Dual-Prompt Learning

https://github.com/shuyonggao/psod

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Weakly-Supervised Salient Object Detection Using Point Supervision

https://github.com/sissiw/mutualformer

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MutualFormer: Multi-Modality Representation Learning via Cross-Diffusion Attention

https://github.com/siyueyu/SCWSSOD

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Structure-Consistent Weakly Supervised Salient Object Detection with Local Saliency Coherence

https://github.com/siyueyu/dcfm

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Democracy Does Matter: Comprehensive Feature Mining for Co-Salient Object Detection

https://github.com/sofmonk/class_agnostic_loss_saliency

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Class-Agnostic Segmentation Loss and Its Application to Salient Object Detection and Segmentation

https://github.com/sourachakra/scosparc

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Self-supervised co-salient object detection via feature correspondence at multiple scales

https://github.com/ssecv/CoLA

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CoLA: Conditional Dropout and Language-driven Robust Dual-modal Salient Object Detection

https://github.com/ssecv/leno

공식 코드

LeNo: Adversarial Robust Salient Object Detection Networks with Learnable Noise

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