{"total":35,"rows":[{"id":"2312.01597","title":"SCLIP: Rethinking Self-Attention for Dense Vision-Language Inference","created":"2023-12-04","cited_by_count":170,"area":null},{"id":"2406.02842","title":"DiffCut: Catalyzing Zero-Shot Semantic Segmentation with Diffusion Features and Recursive Normalized Cut","created":"2024-06-05","cited_by_count":26,"area":null},{"id":"2309.12378","title":"Unsupervised Semantic Segmentation Through Depth-Guided Feature Correlation and Sampling","created":"2023-09-21","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":"2405.00587","title":"GraCo: Granularity-Controllable Interactive Segmentation","created":"2024-05-01","cited_by_count":13,"area":null},{"id":"2403.01909","title":"Semi-Supervised Semantic Segmentation Based on Pseudo-Labels: A Survey","created":"2024-03-04","cited_by_count":12,"area":null},{"id":"2312.17492","title":"HEAP: Unsupervised Object Discovery and Localization with Contrastive Grouping","created":"2023-12-29","cited_by_count":10,"area":null},{"id":"2405.07201","title":"Building a Strong Pre-Training Baseline for Universal 3D Large-Scale Perception","created":"2024-05-12","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":"2305.18158","title":"Out-of-Distributed Semantic Pruning for Robust Semi-Supervised Learning","created":"2023-05-29","cited_by_count":7,"area":null},{"id":"2408.01694","title":"Bayesian Active Learning for Semantic Segmentation","created":"2024-08-03","cited_by_count":5,"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":"2412.20964","title":"Hierarchical Banzhaf Interaction for General Video-Language Representation Learning","created":"2024-12-30","cited_by_count":4,"area":null},{"id":"2312.07342","title":"Expand-and-Quantize: Unsupervised Semantic Segmentation Using High-Dimensional Space and Product Quantization","created":"2023-12-12","cited_by_count":3,"area":null},{"id":"2401.14074","title":"ProCNS: Progressive Prototype Calibration and Noise Suppression for Weakly-Supervised Medical Image Segmentation","created":"2024-01-25","cited_by_count":3,"area":null},{"id":"2411.03695","title":"AMNCutter: Affinity-Attention-Guided Multi-View Normalized Cutter for Unsupervised Surgical Instrument Segmentation","created":"2024-11-06","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":"2509.09429","title":"Semantic Concentration for Self-Supervised Dense Representations Learning","created":"2025-09-11","cited_by_count":3,"area":null},{"id":"2406.07986","title":"SimSAM: Simple Siamese Representations Based Semantic Affinity Matrix for Unsupervised Image Segmentation","created":"2024-06-12","cited_by_count":2,"area":null},{"id":"2507.14596","title":"DiSCO-3D : Discovering and segmenting Sub-Concepts from Open-vocabulary queries in NeRF","created":"2025-07-19","cited_by_count":2,"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":"2402.02474","title":"Deep Spectral Improvement for Unsupervised Image Instance Segmentation","created":"2024-02-04","cited_by_count":1,"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":"2312.02420","title":"Repurposing SAM for User-Defined Semantics Aware Segmentation","created":"2023-12-05","cited_by_count":0,"area":null},{"id":"2403.06546","title":"OMH: Structured Sparsity via Optimally Matched Hierarchy for Unsupervised Semantic Segmentation","created":"2024-03-11","cited_by_count":0,"area":null},{"id":"2406.07078","title":"Unified Modeling Enhanced Multimodal Learning for Precision Neuro-Oncology","created":"2024-06-11","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":"2408.16661","title":"Improving Weakly-supervised Video Instance Segmentation by Leveraging Spatio-temporal Consistency","created":"2024-08-29","cited_by_count":0,"area":null},{"id":"2502.01335","title":"ConceptVAE: Self-Supervised Fine-Grained Concept Disentanglement from 2D Echocardiographies","created":"2025-02-03","cited_by_count":0,"area":null},{"id":"2504.05613","title":"Falcon: Fractional Alternating Cut with Overcoming Minima in Unsupervised Segmentation","created":"2025-04-08","cited_by_count":0,"area":null},{"id":"2509.25016","title":"CLASP: Adaptive Spectral Clustering for Unsupervised Per-Image Segmentation","created":"2025-09-29","cited_by_count":0,"area":null},{"id":"2510.16790","title":"Unsupervised Monocular Road Segmentation for Autonomous Driving via Scene Geometry","created":"2025-10-19","cited_by_count":0,"area":null},{"id":"2512.23997","title":"MSSSeg: Learning Multi-Scale Structural Complexity for Self-Supervised Segmentation","created":"2025-12-30","cited_by_count":0,"area":null},{"id":"2602.13020","title":"DynaGuide: A Generalizable Dynamic Guidance Framework for Unsupervised Semantic Segmentation","created":"2026-02-13","cited_by_count":0,"area":null},{"id":"2604.00276","title":"Excite, Attend and Segment (EASe): Domain-Agnostic Fine-Grained Mask Discovery with Feature Calibration and Self-Supervised Upsampling","created":"2026-03-31","cited_by_count":0,"area":null}],"next_cursor":null}