few-shot segmentation

Domain-Rectifying Adapter for Cross-Domain Few-Shot Segmentation CVPR 2024 Few Shot Part Segmentation Reveals Compositional Logic for Industrial Anomaly Detection AAAI 2024 Hybrid Mamba for Few-Shot Segmentation NeurIPS 2024 LLaFS: When Large Language Models Meet Few-Shot Segmentation CVPR 2024 Pixel Matching Network for Cross-Domain Few-Shot Segmentation WACV 2024 Rethinking Prior Information Generation with CLIP for Few-Shot Segmentation CVPR 2024 Task-Disruptive Background Suppression for Few-Shot Segmentation AAAI 2024 Visual Prompting for Generalized Few-shot Segmentation: A Multi-scale Approach CVPR 2024 Dual Meta-Learning with Longitudinally Consistent Regularization for One-Shot Brain Tissue Segmentation Across the Human Lifespan ICCV 2023 Elimination of Non-Novel Segments at Multi-Scale for Few-Shot Segmentation WACV 2023 Few-Shot Medical Image Segmentation With Cycle-Resemblance Attention WACV 2023 FGNet: Towards Filling the Intra-class and Inter-class Gaps for Few-shot Segmentation IJCAI 2023 Focus on Query: Adversarial Mining Transformer for Few-Shot Segmentation NeurIPS 2023 Hierarchical Dense Correlation Distillation for Few-Shot Segmentation CVPR 2023 MIANet: Aggregating Unbiased Instance and General Information for Few-Shot Semantic Segmentation CVPR 2023 Rethinking Few-Shot Medical Segmentation: A Vector Quantization View CVPR 2023 Rethinking the Correlation in Few-Shot Segmentation: A Buoys View CVPR 2023 Robust One-Shot Segmentation of Brain Tissues via Image-Aligned Style Transformation AAAI 2023 Self-Calibrated Cross Attention Network for Few-Shot Segmentation ICCV 2023 Suppressing the Heterogeneity: A Strong Feature Extractor for Few-shot Segmentation ICLR 2023 Beyond the Prototype: Divide-and-conquer Proxies for Few-shot Segmentation IJCAI 2022 CATrans: Context and Affinity Transformer for Few-Shot Segmentation IJCAI 2022 Feature-Proxy Transformer for Few-Shot Segmentation NeurIPS 2022 GanOrCon: Are Generative Models Useful for Few-Shot Segmentation? CVPR 2022 Integrative Few-Shot Learning for Classification and Segmentation CVPR 2022