{"total":91,"rows":[{"id":"2101.11939","title":"Exploring Cross-Image Pixel Contrast for Semantic Segmentation","created":"2021-01-28","cited_by_count":242,"area":null},{"id":"2203.08414","title":"Unsupervised Semantic Segmentation by Distilling Feature Correspondences","created":"2022-03-16","cited_by_count":241,"area":null},{"id":"2102.06191","title":"Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals","created":"2021-02-11","cited_by_count":190,"area":null},{"id":"2205.07839","title":"Deep Spectral Methods: A Surprisingly Strong Baseline for Unsupervised Semantic Segmentation and Localization","created":"2022-05-16","cited_by_count":150,"area":null},{"id":"2203.15102","title":"Rethinking Semantic Segmentation: A Prototype View","created":"2022-03-28","cited_by_count":140,"area":null},{"id":"2206.07045","title":"ReCo: Retrieve and Co-segment for Zero-shot Transfer","created":"2022-06-14","cited_by_count":117,"area":null},{"id":"2212.04994","title":"Open Vocabulary Semantic Segmentation with Patch Aligned Contrastive Learning","created":"2022-12-09","cited_by_count":115,"area":null},{"id":"2202.12181","title":"FreeSOLO: Learning to Segment Objects without Annotations","created":"2022-02-24","cited_by_count":102,"area":null},{"id":"2106.03149","title":"Large-scale Unsupervised Semantic Segmentation","created":"2021-06-06","cited_by_count":101,"area":null},{"id":"2204.13101","title":"Self-Supervised Learning of Object Parts for Semantic Segmentation","created":"2022-04-27","cited_by_count":90,"area":null},{"id":"2210.02025","title":"GMMSeg: Gaussian Mixture based Generative Semantic Segmentation Models","created":"2022-10-05","cited_by_count":87,"area":null},{"id":"2209.08776","title":"NeRF-SOS: Any-View Self-supervised Object Segmentation on Complex Scenes","created":"2022-09-19","cited_by_count":71,"area":null},{"id":"2205.15288","title":"Self-Supervised Visual Representation Learning with Semantic Grouping","created":"2022-05-30","cited_by_count":70,"area":null},{"id":"2207.08455","title":"Open-world Semantic Segmentation via Contrasting and Clustering Vision-Language Embedding","created":"2022-07-18","cited_by_count":67,"area":null},{"id":"2206.06363","title":"Discovering Object Masks with Transformers for Unsupervised Semantic Segmentation","created":"2022-06-13","cited_by_count":54,"area":null},{"id":"2207.05027","title":"Unsupervised Semantic Segmentation with Self-supervised Object-centric Representations","created":"2022-07-11","cited_by_count":54,"area":null},{"id":"2106.05967","title":"Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations","created":"2021-06-10","cited_by_count":48,"area":null},{"id":"2207.01223","title":"A Survey on Label-efficient Deep Image Segmentation: Bridging the Gap between Weak Supervision and Dense Prediction","created":"2022-07-04","cited_by_count":46,"area":null},{"id":"2111.06394","title":"The Emergence of Objectness: Learning Zero-Shot Segmentation from Videos","created":"2021-11-11","cited_by_count":45,"area":null},{"id":"2306.04300","title":"CorrMatch: Label Propagation via Correlation Matching for Semi-Supervised Semantic Segmentation","created":"2023-06-07","cited_by_count":44,"area":null},{"id":"2105.00957","title":"Universal Weakly Supervised Segmentation by Pixel-to-Segment Contrastive Learning","created":"2021-05-03","cited_by_count":43,"area":null},{"id":"2210.05944","title":"ACSeg: Adaptive Conceptualization for Unsupervised Semantic Segmentation","created":"2022-10-12","cited_by_count":42,"area":null},{"id":"2303.15014","title":"Leveraging Hidden Positives for Unsupervised Semantic Segmentation","created":"2023-03-27","cited_by_count":40,"area":null},{"id":"2204.11432","title":"Unsupervised Hierarchical Semantic Segmentation with Multiview Cosegmentation and Clustering Transformers","created":"2022-04-25","cited_by_count":39,"area":null},{"id":"2112.01515","title":"TransFGU: A Top-down Approach to Fine-Grained Unsupervised Semantic Segmentation","created":"2021-12-02","cited_by_count":38,"area":null},{"id":"2112.01900","title":"Novel Class Discovery in Semantic Segmentation","created":"2021-12-03","cited_by_count":31,"area":null},{"id":"2403.01482","title":"EAGLE: Eigen Aggregation Learning for Object-Centric Unsupervised Semantic Segmentation","created":"2024-03-03","cited_by_count":27,"area":null},{"id":"2209.11228","title":"NamedMask: Distilling Segmenters from Complementary Foundation Models","created":"2022-09-22","cited_by_count":20,"area":null},{"id":"2502.06756","title":"SAMRefiner: Taming Segment Anything Model for Universal Mask Refinement","created":"2025-02-10","cited_by_count":20,"area":null},{"id":"2203.11160","title":"Drive&Segment: Unsupervised Semantic Segmentation of Urban Scenes via Cross-modal Distillation","created":"2022-03-21","cited_by_count":19,"area":null},{"id":"2312.12828","title":"TagCLIP: A Local-to-Global Framework to Enhance Open-Vocabulary Multi-Label Classification of CLIP Without Training","created":"2023-12-20","cited_by_count":19,"area":null},{"id":"2310.07379","title":"Causal Unsupervised Semantic Segmentation","created":"2023-10-11","cited_by_count":18,"area":null},{"id":"2210.00314","title":"Learning Hierarchical Image Segmentation For Recognition and By Recognition","created":"2022-10-01","cited_by_count":16,"area":null},{"id":"2211.08352","title":"Visual Semantic Segmentation Based on Few/Zero-Shot Learning: An Overview","created":"2022-11-13","cited_by_count":16,"area":null},{"id":"2406.11608","title":"Visually Consistent Hierarchical Image Classification","created":"2024-06-17","cited_by_count":16,"area":null},{"id":"2408.11054","title":"Near, far: Patch-ordering enhances vision foundation models' scene understanding","created":"2024-08-20","cited_by_count":15,"area":null},{"id":"2107.00691","title":"Unsupervised Image Segmentation by Mutual Information Maximization and Adversarial Regularization","created":"2021-07-01","cited_by_count":13,"area":null},{"id":"2204.10926","title":"SegDiscover: Visual Concept Discovery via Unsupervised Semantic Segmentation","created":"2022-04-22","cited_by_count":13,"area":null},{"id":"2207.04044","title":"kMaX-DeepLab: k-means Mask Transformer","created":"2022-07-08","cited_by_count":12,"area":null},{"id":"2110.03477","title":"InfoSeg: Unsupervised Semantic Image Segmentation with Mutual Information Maximization","created":"2021-10-07","cited_by_count":11,"area":null},{"id":"2205.13271","title":"Unsupervised Multi-object Segmentation Using Attention and Soft-argmax","created":"2022-05-26","cited_by_count":11,"area":null},{"id":"2211.14513","title":"Rethinking Alignment and Uniformity in Unsupervised Semantic Segmentation","created":"2022-11-26","cited_by_count":10,"area":null},{"id":"2306.06203","title":"FLSL: Feature-level Self-supervised Learning","created":"2023-06-09","cited_by_count":9,"area":null},{"id":"2404.16818","title":"Boosting Unsupervised Semantic Segmentation with Principal Mask Proposals","created":"2024-04-25","cited_by_count":9,"area":null},{"id":"2203.11075","title":"Dense Siamese Network for Dense Unsupervised Learning","created":"2022-03-21","cited_by_count":8,"area":null},{"id":"2203.13409","title":"Multi-scale and Cross-scale Contrastive Learning for Semantic Segmentation","created":"2022-03-25","cited_by_count":8,"area":null},{"id":"2303.05503","title":"Open-world Instance Segmentation: Top-down Learning with Bottom-up Supervision","created":"2023-03-09","cited_by_count":8,"area":null},{"id":"2408.06747","title":"ReCLIP++: Learn to Rectify the Bias of CLIP for Unsupervised Semantic Segmentation","created":"2024-08-13","cited_by_count":8,"area":null},{"id":"2203.12116","title":"GOSS: Towards Generalized Open-set Semantic Segmentation","created":"2022-03-23","cited_by_count":7,"area":null},{"id":"2307.13640","title":"Optical Flow boosts Unsupervised Localization and Segmentation","created":"2023-07-25","cited_by_count":7,"area":null},{"id":"2403.14203","title":"Unsupervised Audio-Visual Segmentation with Modality Alignment","created":"2024-03-21","cited_by_count":7,"area":null},{"id":"2108.01296","title":"Dynamic Feature Regularized Loss for Weakly Supervised Semantic Segmentation","created":"2021-08-03","cited_by_count":6,"area":null},{"id":"2110.11742","title":"Few-shot Semantic Segmentation with Self-supervision from Pseudo-classes","created":"2021-10-22","cited_by_count":6,"area":null},{"id":"2203.13868","title":"Self-supervised Semantic Segmentation Grounded in Visual Concepts","created":"2022-03-25","cited_by_count":6,"area":null},{"id":"2203.14896","title":"Multi-Task Learning for Visual Scene Understanding","created":"2022-03-28","cited_by_count":6,"area":null},{"id":"2401.12217","title":"Exploring Simple Open-Vocabulary Semantic Segmentation","created":"2024-01-22","cited_by_count":6,"area":null},{"id":"2208.11821","title":"Refine and Represent: Region-to-Object Representation Learning","created":"2022-08-25","cited_by_count":5,"area":null},{"id":"2103.11594","title":"Deep Neural Networks Learn Meta-Structures from Noisy Labels in Semantic Segmentation","created":"2021-03-22","cited_by_count":4,"area":null},{"id":"2106.04555","title":"Hierarchical Lov\\'asz Embeddings for Proposal-free Panoptic Segmentation","created":"2021-06-08","cited_by_count":4,"area":null},{"id":"2111.12460","title":"ViCE: Improving Dense Representation Learning by Superpixelization and Contrasting Cluster Assignment","created":"2021-11-24","cited_by_count":4,"area":null},{"id":"2304.02841","title":"Learning Neural Eigenfunctions for Unsupervised Semantic Segmentation","created":"2023-04-06","cited_by_count":4,"area":null},{"id":"2312.12463","title":"Open Vocabulary Semantic Scene Sketch Understanding","created":"2023-12-18","cited_by_count":4,"area":null},{"id":"2405.05477","title":"DynaSeg: A Deep Dynamic Fusion Method for Unsupervised Image Segmentation Incorporating Feature Similarity and Spatial Continuity","created":"2024-05-09","cited_by_count":4,"area":null},{"id":"2406.10855","title":"ALPS: An Auto-Labeling and Pre-training Scheme for Remote Sensing Segmentation With Segment Anything Model","created":"2024-06-16","cited_by_count":4,"area":null},{"id":"2408.04851","title":"Your Classifier Can Be Secretly a Likelihood-Based OOD Detector","created":"2024-08-09","cited_by_count":4,"area":null},{"id":"2409.09497","title":"Multi-Scale Grouped Prototypes for Interpretable Semantic Segmentation","created":"2024-09-14","cited_by_count":4,"area":null},{"id":"2105.07672","title":"Voxel-level Siamese Representation Learning for Abdominal Multi-Organ Segmentation","created":"2021-05-17","cited_by_count":3,"area":null},{"id":"2407.14823","title":"Scaling Up Single Image Dehazing Algorithm by Cross-Data Vision Alignment for Richer Representation Learning and Beyond","created":"2024-07-20","cited_by_count":3,"area":null},{"id":"2506.18463","title":"DIP: Unsupervised Dense In-Context Post-training of Visual Representations","created":"2025-06-23","cited_by_count":3,"area":null},{"id":"2206.01999","title":"MSR: Making Self-supervised learning Robust to Aggressive Augmentations","created":"2022-06-04","cited_by_count":2,"area":null},{"id":"2211.13974","title":"ILSGAN: Independent Layer Synthesis for Unsupervised Foreground-Background Segmentation","created":"2022-11-25","cited_by_count":2,"area":null},{"id":"2410.08091","title":"Distribution Guidance Network for Weakly Supervised Point Cloud Semantic Segmentation","created":"2024-10-10","cited_by_count":2,"area":null},{"id":"2203.09343","title":"CYBORGS: Contrastively Bootstrapping Object Representations by Grounding in Segmentation","created":"2022-03-17","cited_by_count":1,"area":null},{"id":"2311.18628","title":"A Lightweight Clustering Framework for Unsupervised Semantic Segmentation","created":"2023-11-30","cited_by_count":1,"area":null},{"id":"2501.16022","title":"SketchYourSeg: Mask-Free Subjective Image Segmentation via Freehand Sketches","created":"2025-01-27","cited_by_count":1,"area":null},{"id":"2503.17899","title":"What Time Tells Us? An Explorative Study of Time Awareness Learned from Static Images","created":"2025-03-23","cited_by_count":1,"area":null},{"id":"2109.14116","title":"Comparison of atlas-based and neural-network-based semantic segmentation for DENSE MRI images","created":"2021-09-29","cited_by_count":0,"area":null},{"id":"2205.00160","title":"Elucidating Meta-Structures of Noisy Labels in Semantic Segmentation by Deep Neural Networks","created":"2022-04-30","cited_by_count":0,"area":null},{"id":"2206.05225","title":"ClamNet: Using contrastive learning with variable depth Unets for medical image segmentation","created":"2022-06-10","cited_by_count":0,"area":null},{"id":"2306.02335","title":"Towards Robust Feature Learning with t-vFM Similarity for Continual Learning","created":"2023-06-04","cited_by_count":0,"area":null},{"id":"2306.13166","title":"A Sparse Graph Formulation for Efficient Spectral Image Segmentation","created":"2023-06-22","cited_by_count":0,"area":null},{"id":"2307.07677","title":"Learning from Pseudo-labeled Segmentation for Multi-Class Object Counting","created":"2023-07-15","cited_by_count":0,"area":null},{"id":"2307.11989","title":"Morphology-inspired Unsupervised Gland Segmentation via Selective Semantic Grouping","created":"2023-07-22","cited_by_count":0,"area":null},{"id":"2311.01475","title":"Patch-Based Deep Unsupervised Image Segmentation using Graph Cuts","created":"2023-11-01","cited_by_count":0,"area":null},{"id":"2401.12820","title":"DatUS^2: Data-driven Unsupervised Semantic Segmentation with Pre-trained Self-supervised Vision Transformer","created":"2024-01-23","cited_by_count":0,"area":null},{"id":"2407.10733","title":"Joint-Embedding Predictive Architecture for Self-Supervised Learning of Mask Classification Architecture","created":"2024-07-15","cited_by_count":0,"area":null},{"id":"2409.13687","title":"A Bottom-Up Approach to Class-Agnostic Image Segmentation","created":"2024-09-20","cited_by_count":0,"area":null},{"id":"2503.06954","title":"Approximate Size Targets Are Sufficient for Accurate Semantic Segmentation","created":"2025-03-10","cited_by_count":0,"area":null},{"id":"2601.22529","title":"SHED Light on Segmentation for Dense Prediction","created":"2026-01-30","cited_by_count":0,"area":null},{"id":"2606.19934","title":"Speeding up the annotation process in semantic segmentation industrial applications","created":"2026-06-18","cited_by_count":0,"area":null},{"id":"2607.02252","title":"ArcAD: Anomaly-Rectified Calibration for Cold-Start Supervised Anomaly Detection","created":"2026-07-02","cited_by_count":0,"area":null}],"next_cursor":null}