https://github.com/MindSpore-scientific/code-2/tree/main/weakly-supervised
Weakly Supervised Learning of Instance Segmentation with Inter-pixel Relations
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Weakly-Supervised Semantic Segmentation
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The semantic segmentation task is to assign a label from a label set to each pixel in an image. In the case of fully supervised setting, the dataset consists of images and their corresponding pixel-level class-specific annotations (expensive pixel-level annotations). However, in the weakly-supervised setting, the dataset consists of images and corresponding annotations that are relatively easy to obtain, such as tags/labels of objects present in the image.
<span style="color:grey; opacity: 0.6">( Image credit: Weakly-Supervised Semantic Segmentation Network with Deep Seeded Region Growing )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/PengtaoJiang/OAA
https://github.com/PengtaoJiang/OAA-PyTorch
https://github.com/PengyiZhang/MIADeepSSL
https://github.com/PointCloudYC/SQN_tensorflow
SQN: Weakly-Supervised Semantic Segmentation of Large-Scale 3D Point Clouds
https://github.com/ShenghaiRong/BECO
https://github.com/TheLegendAli/DeepLab-Context
Weakly- and Semi-Supervised Learning of a DCNN for Semantic Image Segmentation
https://github.com/Wu0409/HSC_WSSS
https://github.com/ahounkanrin/FCN-MIL
https://github.com/altimerk/stanford_drone_segmentation
Puzzle-CAM: Improved localization via matching partial and full features
https://github.com/biomedsciai/histocartography
Learning Whole-Slide Segmentation from Inexact and Incomplete Labels using Tissue Graphs
https://github.com/chenhaomingbob/WS3-mindspore
Weakly Supervised Semantic Segmentation for Large-Scale Point Cloud
https://github.com/cvi-szu/ccam
Cross Language Image Matching for Weakly Supervised Semantic Segmentation
https://github.com/cvlab-yonsei/BANA
Background-Aware Pooling and Noise-Aware Loss for Weakly-Supervised Semantic Segmentation
https://github.com/dbash/zerowaste
Puzzle-CAM: Improved localization via matching partial and full features
https://github.com/dmcv-ecnu/MindSpore_ModelZoo/tree/main/WS3_MindSpore
Weakly Supervised Semantic Segmentation for Large-Scale Point Cloud
https://github.com/eli-yili/wsss_mmseg
Pseudo-mask Matters in Weakly-supervised Semantic Segmentation
https://github.com/halbielee/EPS
https://github.com/histocartography/histocartography
Learning Whole-Slide Segmentation from Inexact and Incomplete Labels using Tissue Graphs
https://github.com/jiwoon-ahn/irn
Weakly Supervised Learning of Instance Segmentation with Inter-pixel Relations
https://github.com/js-fan/ICD
https://github.com/kaist-vilab/oc-cse
https://github.com/karan-uppal3/BANA
Background-Aware Pooling and Noise-Aware Loss for Weakly-Supervised Semantic Segmentation
https://github.com/lizhuohong/buildingmap
https://github.com/lizhuohong/segland
https://github.com/meng-tang/rloss
https://github.com/open-cv/deeplab-v1
Weakly- and Semi-Supervised Learning of a DCNN for Semantic Image Segmentation
https://github.com/periakiva/periakiva
Towards Single Stage Weakly Supervised Semantic Segmentation
https://github.com/pramodith/Segmentation-using-Weak-Superivison
Discovering Class-Specific Pixels for Weakly-Supervised Semantic Segmentation
https://github.com/pwc-1/Paper-9/tree/main/3/weakly-supervised
Weakly Supervised Learning of Instance Segmentation with Inter-pixel Relations
https://github.com/rulixiang/vwe/tree/master/v2
Weakly-Supervised Semantic Segmentation with Visual Words Learning and Hybrid Pooling
https://github.com/sangrockeg/acr
https://github.com/shengliu66/ELR
Adaptive Early-Learning Correction for Segmentation from Noisy Annotations
https://github.com/shjo-april/puzzlecam
Puzzle-CAM: Improved localization via matching partial and full features
https://github.com/speedinghzl/DSRG
https://github.com/usr922/plda
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.