Zero Shot Segmentation


Zero-shot segmentation is the process of segmenting objects in images without using any labeled data.

Beyond Labels: Zero-Shot Diabetic Foot Ulcer Wound Segmentation with Self-attention Diffusion Models and the Potential for Text-Guided Customization

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Apr 24, 2025
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Tokenization Matters: Improving Zero-Shot NER for Indic Languages

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Apr 23, 2025
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LGD: Leveraging Generative Descriptions for Zero-Shot Referring Image Segmentation

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Apr 20, 2025
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NVSMask3D: Hard Visual Prompting with Camera Pose Interpolation for 3D Open Vocabulary Instance Segmentation

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Apr 20, 2025
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A Hierarchical Framework for Measuring Scientific Paper Innovation via Large Language Models

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Apr 20, 2025
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Zero-Shot Industrial Anomaly Segmentation with Image-Aware Prompt Generation

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Apr 18, 2025
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Med-2D SegNet: A Light Weight Deep Neural Network for Medical 2D Image Segmentation

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Apr 20, 2025
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Segment Any Crack: Deep Semantic Segmentation Adaptation for Crack Detection

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Apr 19, 2025
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3D-PointZshotS: Geometry-Aware 3D Point Cloud Zero-Shot Semantic Segmentation Narrowing the Visual-Semantic Gap

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Apr 16, 2025
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Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation

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Apr 19, 2025
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