Papers with Code 아카이브

Saliency Detection

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하위 태스크: 4
평가표: 7
보존된 평가 기록: 15

Saliency Detection is a preprocessing step in computer vision which aims at finding salient objects in an image.

Source: An Unsupervised Game-Theoretic Approach to Saliency Detection

코드

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

https://github.com/msu-video-group/ECCVW24_Saliency_Prediction

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AIM 2024 Challenge on Video Saliency Prediction: Methods and Results

https://github.com/mtliba/ATSal

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ATSal: An Attention Based Architecture for Saliency Prediction in 360 Videos

https://github.com/nevrez/Saliency_BackwardForwardFeatures_VGG16

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Saliency Detection by Forward and Backward Cues in Deep-CNNs

https://github.com/nexiakele/AMSODFirst

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Salient Object Detection From Arbitrary Modalities

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

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A Deep Spatial Contextual Long-term Recurrent Convolutional Network for Saliency Detection

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

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PiCANet: Learning Pixel-wise Contextual Attention for Saliency Detection

https://github.com/nnizhang/SMAC

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

https://github.com/nnizhang/cadc

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Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency Detection

https://github.com/noelshin/selfmask

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Unsupervised Salient Object Detection with Spectral Cluster Voting

https://github.com/olobbcode/noiself

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Learning from Pixel-Level Noisy Label : A New Perspective for Light Field Saliency Detection

https://github.com/pencilzhang/MAC-light-field-saliency-net

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Light Field Saliency Detection with Deep Convolutional Networks

https://github.com/perceivelab/hd2s

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Hierarchical Domain-Adapted Feature Learning for Video Saliency Prediction

https://github.com/prismformore/InvPT

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InvPT: Inverted Pyramid Multi-task Transformer for Dense Scene Understanding

https://github.com/rdroste/unisal

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Unified Image and Video Saliency Modeling

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/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/samyak0210/ViNet

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ViNet: Pushing the limits of Visual Modality for Audio-Visual Saliency Prediction

https://github.com/samyak0210/saliency

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Tidying Deep Saliency Prediction Architectures

https://github.com/saumya-jetley/cd_Saliency_PDP

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End-to-End Saliency Mapping via Probability Distribution Prediction

https://github.com/savinay95n/PatchRefineNet

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PatchRefineNet: Improving Binary Segmentation by Incorporating Signals from Optimal Patch-wise Binarization

https://github.com/shuyonggao/psod

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Weakly-Supervised Salient Object Detection Using Point Supervision

https://github.com/silky1708/locate

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LOCATE: Self-supervised Object Discovery via Flow-guided Graph-cut and Bootstrapped Self-training

https://github.com/sissiw/mutualformer

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

https://github.com/siyueyu/dcfm

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

https://github.com/songsook/scdl

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A Comprehensive Survey on Video Saliency Detection with Auditory Information: the Audio-visual Consistency Perceptual is the Key!

https://github.com/sourachakra/scosparc

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

https://github.com/sunpeng1996/DSA2F

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Deep RGB-D Saliency Detection with Depth-Sensitive Attention and Automatic Multi-Modal Fusion

https://github.com/suyukun666/UFO

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A Unified Transformer Framework for Group-based Segmentation: Co-Segmentation, Co-Saliency Detection and Video Salient Object Detection

https://github.com/szzexpoi/saliency_analysis

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What Do Deep Saliency Models Learn about Visual Attention?

https://github.com/tanveer-hussain/EfficientSOD

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Densely Deformable Efficient Salient Object Detection Network

https://github.com/tanveer-hussain/efficientsod2

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Pyramidal Attention for Saliency Detection

https://github.com/taozh2017/RGBD-SODsurvey

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Specificity-preserving RGB-D Saliency Detection

https://github.com/taozh2017/spnet

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Specificity-preserving RGB-D Saliency Detection

https://github.com/tencentailabhealthcare/concl

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ConCL: Concept Contrastive Learning for Dense Prediction Pre-training in Pathology Images

https://github.com/tsingqguo/jadena

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Can You Spot the Chameleon? Adversarially Camouflaging Images from Co-Salient Object Detection

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