https://github.com/rmcong/Hybrid-Label-SOD_TCSVT2022
공식 코드A Weakly Supervised Learning Framework for Salient Object Detection via Hybrid Labels
Papers with Code 아카이브
RGB Salient Object Detection
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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://github.com/ruizvitor/ANDA
공식 코드ANDA: A Novel Data Augmentation Technique Applied to Salient Object Detection
https://github.com/siyueyu/dcfm
공식 코드Democracy Does Matter: Comprehensive Feature Mining for Co-Salient Object Detection
https://github.com/sourachakra/scosparc
공식 코드Self-supervised co-salient object detection via feature correspondence at multiple scales
https://github.com/ssecv/CoLA
공식 코드CoLA: Conditional Dropout and Language-driven Robust Dual-modal Salient Object Detection
https://github.com/sshige/rgbd-saliency
공식 코드https://github.com/suyukun666/UFO
공식 코드https://github.com/tanveer-hussain/EfficientSOD
공식 코드Densely Deformable Efficient Salient Object Detection Network
https://github.com/taozh2017/RGBD-SODsurvey
공식 코드https://github.com/tennine2077/pdfnet
공식 코드https://github.com/tsingqguo/jadena
공식 코드Can You Spot the Chameleon? Adversarially Camouflaging Images from Co-Salient Object Detection
https://github.com/wangbo-zhao/WSVSOD
공식 코드https://github.com/weijun88/F3Net
공식 코드F3Net: Fusion, Feedback and Focus for Salient Object Detection
https://github.com/weijun88/LDF
공식 코드https://github.com/wenguanwang/SODsurvey
공식 코드Salient Object Detection in the Deep Learning Era: An In-Depth Survey
https://github.com/wj-cv/vcp
공식 코드https://github.com/wuyang98/CoSOD
공식 코드https://github.com/wuzhe71/CPD
공식 코드Cascaded Partial Decoder for Fast and Accurate Salient Object Detection
https://github.com/xuebinqin/DIS
공식 코드https://github.com/yi94code/HRSOD
공식 코드https://github.com/yuhuan-wu/P2T
공식 코드https://github.com/yuhuan-wu/RDPNet
공식 코드Regularized Densely-connected Pyramid Network for Salient Instance Segmentation
https://github.com/yun-liu/DNA
공식 코드DNA: Deeply-supervised Nonlinear Aggregation for Salient Object Detection
https://github.com/zhaoxing2022/mmn-vsod
공식 코드Motion-aware Memory Network for Fast Video Salient Object Detection
https://github.com/zhengpeng7/birefnet
공식 코드Bilateral Reference for High-Resolution Dichotomous Image Segmentation
https://github.com/zhengpeng7/cosod_fps_collection
공식 코드GCoNet+: A Stronger Group Collaborative Co-Salient Object Detector
https://github.com/zhengpeng7/gconet_plus
공식 코드GCoNet+: A Stronger Group Collaborative Co-Salient Object Detector
https://github.com/zhengpeng7/mccl
공식 코드Memory-aided Contrastive Consensus Learning for Co-salient Object Detection
https://github.com/zwbx/DFM-Net
공식 코드Depth Quality-Inspired Feature Manipulation for Efficient RGB-D and Video Salient Object Detection
https://github.com/zyjwuyan/BBS-Net
공식 코드Bifurcated backbone strategy for RGB-D salient object detection
https://github.com/zzy816/corp
공식 코드Co-Salient Object Detection with Co-Representation Purification
https://dagshub.com/Bharat-mtr/EGNet
https://gitee.com/dakerqinqi/wslnet
A Weakly Supervised Learning Framework for Salient Object Detection via Hybrid Labels
https://github.com/0xzayd/Wnet-cGAN
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/1044197988/TF.Keras-Commonly-used-models
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/163GitHub/AI
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.