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
- [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.] 🌻
- [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.] 🏥
- [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.] 🌻
- [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.] ⭐ 🏥
- [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.] 🏥
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