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Awesome-Weakly-Supervised-SegmentationAwesome

- Recent papers (from 2015)

Keywords

img.: image level label   |   vid.: video level label   |   box.: bounding box label   |   ins.: instance segmentation   |   pan.: panotic segmentation   |   point.: point cloud segmentation

Statistics: 🔥 code is available & stars >= 100  |  ⭐ popular & cited in a survey  |  🌻 natural scene images  |  🌎 remote sensing images  |  🏥 medical images


2020

  • [NeurIPS] Causal Intervention for Weakly-Supervised Semantic Segmentation. [pytorch] [img.] 🌻
  • [CVPR] Multi-Path Region Mining for Weakly Supervised 3D Semantic Segmentation on Point Clouds. [tensorflow] [point.]
  • [CVPR] Weakly Supervised Semantic Point Cloud Segmentation: Towards 10x Fewer Labels. [tensorflow] [point.]
  • [CVPR] Learning Integral Objects with Intra-Class Discriminator for Weakly-Supervised Semantic Segmentation. [mxnet] [img.] 🌻
  • [CVPR] Single-Stage Semantic Segmentation from Image Labels. [pytorch] [img.] 🌻
  • [CVPR] Learning a Weakly-Supervised Video Actor-Action Segmentation Model with a Wise Selection [img.] 🌻
  • [CVPR] Weakly-Supervised Semantic Segmentation via Sub-Category Exploration. [pytorch] [img.] 🌻
  • [CVPR] Self-supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation. [pytorch] [img.] 🌻
  • [ECCV] Regularized Loss for Weakly Supervised Single Class Semantic Segmentation. [img.] 🌻
  • [ECCV] Weakly Supervised Semantic Segmentation with Boundary Exploration. [box.] 🌻
  • [ECCV] Box2Seg: Attention Weighted Loss and Discriminative Feature Learning for Weakly Supervised Segmentation. [box.] 🌻
  • [ECCV] Splitting vs. Merging: Mining Object Regions with Discrepancy and Intersection Loss for Weakly Supervised Semantic Segmentation. [img.] 🌻
  • [ECCV] Employing Multi-Estimations for Weakly-Supervised Semantic Segmentation. [img.] 🌻
  • [ECCV] Negative Pseudo Labeling using Class Proportion for Semantic Segmentation in Pathology. [img.] 🏥
  • [ECCV] Weakly Supervised Instance Segmentation by Learning Annotation Consistent Instances. [img.,ins.] 🌻
  • [ECCV] Mining Cross-Image Semantics for Weakly Supervised Semantic Segmentation. [Caffe][img.] 🌻
  • [ECCV] Domain Adaptive Semantic Segmentation Using Weak Labels. [img.] 🌻
  • [ECCV] Box2Seg: Attention Weighted Loss and Discriminative Feature Learning for Weakly Supervised Segmentation. [img.] 🌻
  • [ECCV] Semi-supervised Semantic Segmentation via Strong-weak Dual-branch Network. [img.] 🌻
  • [ICLR] Mask Based Unsupervised Content Transfer. [pytorch] [img.] 🌻
  • [ICLR] Weakly Supervised Clustering by Exploiting Unique Class Count. [img.] 🏥
  • [AAAI] RRM: Reliability Does Matter: An End-to-End Weakly Supervised Semantic Segmentation Approach. [pytorch] [img.] ⭐ 🌻
  • [AAAI] CIAN: Cross-Image Affinity Net for Weakly Supervised Semantic Segmentation. [mxnet] [img.] 🌻
  • [AAAI] Learning Saliency-Free Model with Generic Features for Weakly-Supervised Semantic Segmentation. [img.] 🌻
  • [ACMM] Weakly Supervised Segmentation with Maximum Bipartite Graph Matching. [img.] 🌻
  • [IJCAI] Weakly Supervised Few-shot Object Segmentation using Co-Attention with Visual and Semantic Embeddings. [img.] 🌻
  • [ICASSP] Weakly Supervised Semantic Segmentation For Remote Sensing Hyperspectral Imaging. [img.] 🌻
  • [IJCV] Weakly-Supervised Semantic Segmentation by Iterative Affinity Learning. [img.] 🌻
  • [IJCV] A Comprehensive Analysis of Weakly-Supervised Semantic Segmentation in Different Image Domains. [tensorflow] [img.] ⭐ 🏥
  • [TPAMI]Leveraging Instance-, Image- and Dataset-Level Information for Weakly Supervised Instance Segmentation. [img.,ins.] 🌻
  • [TIP] Weakly Supervised Adversarial Domain Adaptation for Semantic Segmentation in Urban Scenes. [box.,pan.] 🌻
  • [TMI] Weakly Supervised Deep Nuclei Segmentation Using Partial Points Annotation in Histopathology Images. [img.] 🏥
  • [NN] Discretely-constrained Deep Network for Weakly Supervised Segmentation. [img.] 🌻
  • [IEEE Access] SGAN: Saliency Guided Self-attention Network for Weakly and Semi-supervised Semantic Segmentation. [pytorch] [img.] ⭐ 🌻
  • [arXiv] Weakly Supervised Semantic Segmentation of Satellite Images for Land Cover Mapping -- Challenges and Opportunities. [img.] 🌎
  • [arXiv] Weakly Supervised Instance Segmentation by Deep Community Learning. [img.,ins.] 🌻
  • [arXiv] Classification and Disease Localization in Histopathology Using Only Global Labels: A Weakly-Supervised Approach. [img.] 🏥
  • [arXiv] Weakly Supervised Lesion Co-segmentation on CT Scans. [img.] 🏥
  • [arXiv] Weakly Supervised Instance Segmentation Using Hybrid Networks. [img.] 🌻
  • [arXiv] Multi-Miner: Object-Adaptive Region Mining for Weakly-Supervised Semantic Segmentation. [img.] 🌻

2019

  • [CVPR] Box-driven Class-wise Region Masking and Filling Rate Guided Loss for Weakly Supervised Semantic Segmentation. [box.] 🌻
  • [CVPR] FickleNet: Weakly and Semi-supervised Semantic Image Segmentation using Stochastic Inference. [img.] ⭐ 🌻
  • [CVPR] IRNet: Weakly Supervised Learning of Instance Segmentation with Inter-pixel Relations. [pytorch] [img.,ins.] ⭐ 🌻
  • [CVPR] Cyclic Guidance for Weakly Supervised Joint Detection and Segmentation. [pytorch][img.] 🌻
  • [CVPR] Learning Instance Activation Maps for Weakly Supervised Instance Segmentation. [img.,ins.] 🌻
  • [CVPR] Collaborative Learning of Semi-Supervised Segmentation and Classification for Medical Images. [img.] 🏥
  • [CVPR] SCOPS: Self-Supervised Co-Part Segmentation. [pytorch][img.] 🌻
  • [CVPRW] Budget-aware Semi-Supervised Semantic and Instance Segmentation. [img.] 🌻
  • [NIPS] Weakly Supervised Instance Segmentation using the Bounding Box Tightness Prior. [pytorch][box.,ins]:sunflower:
  • [ICCV] JSWS: Joint Learning of Saliency Detection and Weakly Supervised Semantic Segmentation. [pytorch][img.] ⭐ 🌻
  • [ICCV] SSDD: Self-Supervised Difference Detection for Weakly-Supervised Semantic Segmentation. [pytorch][img.] ⭐ 🌻
  • [ICCV] HistoSegNet: Semantic Segmentation of Histological Tissue Type in Whole Slide Images. [tensorflow][img.] ⭐ 🏥
  • [ICCV] Integral Object Mining via Online Attention Accumulation. [pytorch][pytorch_v2][img.] 🌻
  • [ICCV] Frame-to-Frame Aggregation of Active Regions in Web Videos for Weakly Supervised Semantic Segmentation. [img.] 🌻
  • [ICCV] Semantic-Transferable Weakly-Supervised Endoscopic Lesions Segmentation. [pytorch][img.] 🏥
  • [ICCV] Label-PEnet: Sequential Label Propagation and Enhancement Networks for Weakly Supervised Instance Segmentation. [img.,ins.] 🌻
  • [ICCVW] One-Shot Weakly Supervised Video Object Segmentation. [vid.] 🌻
  • [IJCAI] Boundary Perception Guidance: A Scribble-Supervised Semantic Segmentation Approach. [box.] 🌻
  • [AAAI] Weakly-Supervised Simultaneous Evidence Identification and Segmentation for Automated Glaucoma Diagnosis. [img.] 🏥
  • [AAAI] A Two-Stream Mutual Attention Network for Semi-supervised Biomedical Segmentation with Noisy Labels. [img.] 🏥
  • [WACV] Learning to segment with image-level supervision. [img.] 🌻
  • [MICCAI] Scribble-based Hierarchical Weakly Supervised Learning for Brain Tumor Segmentation. [img.] 🏥
  • [MICCAI] Weakly Supervised Segmentation from Extreme Points. [img.] 🏥
  • [MICCAI] Weakly Supervised Cell Instance Segmentation by Propagating from Detection Response. [pytorch][img.,ins.] 🏥
  • [ICIP] Weakly Supervised Segmentation of Cracks on Solar Cells using Normalized Lp Norm. [img.] 🏥
  • [ICMLA] Weakly Supervised Fine Tuning Approach for Brain Tumor Segmentation Problem. [img.] 🏥
  • [TIP] Learning to Exploit the Prior Network Knowledge for Weakly-Supervised Semantic Segmentation. [caffe] [img.] ⭐ 🌻
  • [TMM,arXiv] Decoupled Spatial Neural Attention for Weakly Supervised Semantic Segmentation [img.] 🌻
  • [MIA] Constrained-CNN losses for weakly supervised segmentation. [pytorch][caffe] [img.] ⭐ 🏥
  • [JURSE] Weakly Supervised Semantic Segmentation of Satellite Images. [img.] 🌎
  • [arXiv] SSENet: Self-supervised Scale Equivariant Network for Weakly Supervised Semantic Segmentation. [pytorch] [img.] ⭐ 🌻
  • [arXiv] Closed-Loop Adaptation for Weakly-Supervised Semantic Segmentation [img.] 🌻
  • [arXiv] Gated CRF Loss for Weakly Supervised Semantic Image Segmentation [pytorch][img.] 🌻
  • [arXiv] Fully Using Classifiers for Weakly Supervised Semantic Segmentation with Modified Cues. [img.] 🌻
  • [arXiv] Weakly Supervised Multi-Task Learning for Cell Detection and Segmentation. [img.] 🏥

2018

  • [CVPR] MDC: Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi-Supervised Semantic Segmentation. [img.] ⭐ 🌻
  • [CVPR] DSRG: Weakly-Supervised Semantic Segmentation Network with Deep Seeded Region Growing. [caffe][tensorflow] [img.] ⭐ 🌻
  • [CVPR] Bootstrapping the Performance of Webly Supervised Semantic Segmentation. [caffe] [img.] 🌻
  • [CVPR] Weakly Supervised Instance Segmentation using Class Peak Response. [pytorch][img.,ins.] 🌻
  • [CVPR] Multi-Evidence Filtering and Fusion for Multi-Label Classification, Object Detection and Semantic Segmentation Based on Weakly Supervised Learning. [img.] 🌻
  • [CVPR] Weakly-Supervised Semantic Segmentation by Iteratively Mining Common Object Features. [img.] 🌻
  • [CVPR] Normalized Cut Loss for Weakly-Supervised CNN Segmentation. [img.] 🌻
  • [CVPR] PSA: Learning Pixel-Level Semantic Affinity With Image-Level Supervision for Weakly Supervised Semantic Segmentation. [pytorch] [img.] ⭐ 🌻
  • [CVPR] Weakly-Supervised Action Segmentation With Iterative Soft Boundary Assignment. [box.] 🌻
  • [CVPR] Tell Me Where to Look: Guided Attention Inference Network. [img.] 🌻
  • [AAAI] Transferable Semi-supervised Semantic Segmentation. [img.] 🌻
  • [ECCV] Weakly- and Semi-Supervised Panoptic Segmentation. [matlab][img.,ins.,pan.] ⭐ 🌻
  • [ECCV] On Regularized Losses for Weakly-supervised CNN Segmentation[img.] 🌻
  • [BMVC] CSPN: Convolutional Simplex Projection Network for Weakly Supervised Semantic Segmentation. [caffe][img.] ⭐ 🌻
  • [GCPR] Acquire, Augment, Segment & Enjoy: Weakly Supervised Instance Segmentation of Supermarket Products. [img.,ins.] 🌻
  • [TPAMI] Incorporating Network Built-in Priors in Weakly-supervised Semantic Segmentation. [img.] 🌻
  • [arXiv] Towards Closing the Gap in Weakly Supervised Semantic Segmentation with DCNNs: Combining Local and Global Models. [img.] 🌻
  • [arXiv] Generating Self-Guided Dense Annotations for Weakly Supervised Semantic Segmentation. [img.] 🌻

2017

  • [CVPR] AE-PSL: Object Region Mining with Adversarial Erasing: A Simple Classification to Semantic Segmentation Approach. [img.] ⭐ 🌻
  • [CVPR] WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation. [pytorch][img.] ⭐ 🌻
  • [CVPR] Weakly Supervised Semantic Segmentation using Web-Crawled Videos. [img.] 🌻
  • [CVPR] Learning Random-walk Label Propagation for Weakly-supervised Semantic Segmentation. [img.] 🌻
  • [CVPR] Object Region Mining with Adversarial Erasing: A Simple Classification to Semantic Segmentation Approach. [img.] 🌻
  • [CVPR] Weakly Supervised Learning of Affordances. [img.] 🌻
  • [CVPR] Simple Does It: Weakly Supervised Instance and Semantic Segmentation. [tensorflow][img.,ins.] 🌻
  • [ICCV] Bringing Background into the Foreground: Making All Classes Equal in Weakly-supervised Video Semantic Segmentation. [vid.] 🌻
  • [ICCV] Semi and Weakly Supervised Semantic Segmentation Using Generative Adversarial Network. [vid.] 🌻
  • [AAAI] Weakly Supervised Semantic Segmentation Using Superpixel Pooling Network. [img.] 🌻
  • [ICRA] Find Your Own Way: Weakly-Supervised Segmentation of Path Proposals for Urban Autonomy. [img.,pan.] 🌻
  • [BMVC] DCSP: Discovering Class Specific Pixels for Weakly Supervised Semantic Segmentation. [tensorflow][img.] 🌻
  • [BMVC] Weakly Supervised Semantic Segmentation Based on Web Image Co-segmentation. [mxnet][img.] 🌻
  • [ACCV] Semi-Supervised Domain Adaptation for Weakly Labeled Semantic Video Object Segmentation. [vid.] 🌻
  • [TPAMI] STC: A Simple to Complex Framework for Weakly-supervised Semantic Segmentation. [img.] ⭐ 🌻
  • [TPAMI] Learning to Segment Human by Watching YouTube. [vid.] 🌻
  • [TPAMI] Weakly-Supervised Image Annotation and Segmentation with Objects and Attributes. [img.] 🌻
  • [TMI,arXiv] Constrained Deep Weak Supervision for Histopathology Image Segmentation. [img.] ⭐ 🏥

2016

  • [ECCV] SEC: Seed, Expand and Constrain: Three Principles for Weakly-Supervised Image Segmentation. [caffe][pytorch][img.] ⭐ 🌻
  • [ECCV] Weakly-Supervised Semantic Segmentation using Motion Cues. [vid.] 🌻
  • [ECCV] Distinct Class-Specific Saliency Maps for Weakly Supervised Semantic Segmentation. [img.] 🌎
  • [ECCV] Built-in Foreground/Background Prior for Weakly-Supervised Semantic Segmentation. [img.] 🌻
  • [ICLR] Spatio-temporal video autoencoder with differentiable memory. [lua][vid.] 🌻
  • [EMMCVPR] Bottom-Up Top-Down Cues for Weakly-Supervised Semantic Segmentation. [img.] 🌻
  • [TGRS] Semantic Annotation of High-Resolution Satellite Images via Weakly Supervised Learning [img.] 🌎
  • [arXiv] Feedback Neural Network for Weakly Supervised Geo-Semantic Segmentation. [img.] 🌎
  • [arXiv] Deconvolutional Feature Stacking for Weakly-Supervised Semantic Segmentation. [img.] 🏥

2015

  • [ICCV] CCNN: Constrained Convolutional Neural Networks for Weakly Supervised Segmentation. [caffe][img.] ⭐ 🌻
  • [ICCV] Weakly- and Semi-Supervised Learning of a DCNN for Semantic Image Segmentation. [caffe][caffe_v2][img.] ⭐ 🌻

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