{"total":36,"rows":[{"id":"2302.12242","title":"Side Adapter Network for Open-Vocabulary Semantic Segmentation","created":"2023-02-23","cited_by_count":300,"area":"mllm"},{"id":"2112.14757","title":"A Simple Baseline for Open-Vocabulary Semantic Segmentation with Pre-trained Vision-language Model","created":"2021-12-29","cited_by_count":223,"area":"mllm"},{"id":"2112.07910","title":"Decoupling Zero-Shot Semantic Segmentation","created":"2021-12-15","cited_by_count":199,"area":"mllm"},{"id":"2312.00878","title":"Grounding Everything: Emerging Localization Properties in Vision-Language Transformers","created":"2023-12-01","cited_by_count":91,"area":"mllm"},{"id":"2210.09996","title":"Perceptual Grouping in Contrastive Vision-Language Models","created":"2022-10-18","cited_by_count":82,"area":"mllm"},{"id":"2310.13355","title":"SILC: Improving Vision Language Pretraining with Self-Distillation","created":"2023-10-20","cited_by_count":66,"area":"mllm"},{"id":"2310.00240","title":"Learning Mask-aware CLIP Representations for Zero-Shot Segmentation","created":"2023-09-30","cited_by_count":57,"area":"mllm"},{"id":"2306.03899","title":"Towards Label-free Scene Understanding by Vision Foundation Models","created":"2023-06-06","cited_by_count":54,"area":"mllm"},{"id":"2303.09181","title":"Global Knowledge Calibration for Fast Open-Vocabulary Segmentation","created":"2023-03-16","cited_by_count":40,"area":"mllm"},{"id":"2210.15138","title":"Open-vocabulary Semantic Segmentation with Frozen Vision-Language Models","created":"2022-10-27","cited_by_count":39,"area":"mllm"},{"id":"2304.04704","title":"Prompt Pre-Training with Twenty-Thousand Classes for Open-Vocabulary Visual Recognition","created":"2023-04-10","cited_by_count":35,"area":"mllm"},{"id":"2305.01040","title":"CLIP-S$^4$: Language-Guided Self-Supervised Semantic Segmentation","created":"2023-05-01","cited_by_count":34,"area":"mllm"},{"id":"2309.13505","title":"Rewrite Caption Semantics: Bridging Semantic Gaps for Language-Supervised Semantic Segmentation","created":"2023-09-24","cited_by_count":21,"area":"mllm"},{"id":"2409.19846","title":"Towards Open-Vocabulary Semantic Segmentation Without Semantic Labels","created":"2024-09-30","cited_by_count":19,"area":"mllm"},{"id":"2406.00670","title":"Cascade-CLIP: Cascaded Vision-Language Embeddings Alignment for Zero-Shot Semantic Segmentation","created":"2024-06-02","cited_by_count":17,"area":"mllm"},{"id":"2304.08491","title":"Delving into Shape-aware Zero-shot Semantic Segmentation","created":"2023-04-17","cited_by_count":16,"area":"mllm"},{"id":"2303.14396","title":"IFSeg: Image-free Semantic Segmentation via Vision-Language Model","created":"2023-03-25","cited_by_count":15,"area":"mllm"},{"id":"2311.17095","title":"Emergent Open-Vocabulary Semantic Segmentation from Off-the-shelf Vision-Language Models","created":"2023-11-28","cited_by_count":15,"area":"mllm"},{"id":"2410.15397","title":"IPO: Interpretable Prompt Optimization for Vision-Language Models","created":"2024-10-20","cited_by_count":14,"area":"mllm"},{"id":"2401.06397","title":"UMG-CLIP: A Unified Multi-Granularity Vision Generalist for Open-World Understanding","created":"2024-01-12","cited_by_count":13,"area":"mllm"},{"id":"2407.09826","title":"3D Weakly Supervised Semantic Segmentation with 2D Vision-Language Guidance","created":"2024-07-13","cited_by_count":12,"area":"mllm"},{"id":"2504.09480","title":"Vision-Language Model for Object Detection and Segmentation: A Review and Evaluation","created":"2025-04-13","cited_by_count":10,"area":"mllm"},{"id":"2409.08468","title":"Generalization Boosted Adapter for Open-Vocabulary Segmentation","created":"2024-09-13","cited_by_count":9,"area":"mllm"},{"id":"2404.10864","title":"Vocabulary-free Image Classification and Semantic Segmentation","created":"2024-04-16","cited_by_count":8,"area":"mllm"},{"id":"2507.23134","title":"Details Matter for Indoor Open-vocabulary 3D Instance Segmentation","created":"2025-07-30","cited_by_count":8,"area":"mllm"},{"id":"2403.09593","title":"Renovating Names in Open-Vocabulary Segmentation Benchmarks","created":"2024-03-14","cited_by_count":7,"area":"mllm"},{"id":"2403.08426","title":"Language-Driven Visual Consensus for Zero-Shot Semantic Segmentation","created":"2024-03-13","cited_by_count":6,"area":"mllm"},{"id":"2304.06212","title":"[CLS] Token is All You Need for Zero-Shot Semantic Segmentation","created":"2023-04-13","cited_by_count":5,"area":"mllm"},{"id":"2503.10779","title":"The Power of One: A Single Example is All it Takes for Segmentation in VLMs","created":"2025-03-13","cited_by_count":4,"area":"mllm"},{"id":"2404.07448","title":"Transferable and Principled Efficiency for Open-Vocabulary Segmentation","created":"2024-04-11","cited_by_count":3,"area":"mllm"},{"id":"2511.15967","title":"InfoCLIP: Bridging Vision-Language Pretraining and Open-Vocabulary Semantic Segmentation via Information-Theoretic Alignment Transfer","created":"2025-11-20","cited_by_count":3,"area":"mllm"},{"id":"2412.18917","title":"Open-Vocabulary Panoptic Segmentation Using BERT Pre-Training of Vision-Language Multiway Transformer Model","created":"2024-12-25","cited_by_count":2,"area":"mllm"},{"id":"2408.14776","title":"MROVSeg: Breaking the Resolution Curse of Vision-Language Models in Open-Vocabulary Image Segmentation","created":"2024-08-27","cited_by_count":1,"area":"mllm"},{"id":"2501.16769","title":"Beyond-Labels: Advancing Open-Vocabulary Segmentation With Vision-Language Models","created":"2025-01-28","cited_by_count":1,"area":"mllm"},{"id":"2502.02977","title":"Efficiently Disentangling CLIP for Multi-Object Perception","created":"2025-02-05","cited_by_count":1,"area":"mllm"},{"id":"2605.08874","title":"Semantic Alignment in Hyperbolic Space for Open-Vocabulary Semantic Segmentation","created":"2026-05-09","cited_by_count":1,"area":"mllm"}],"next_cursor":null}