Zero Shot Segmentation
2개 벤치마크 · 논문 135편 · 이 태스크의 논문 보기 →
Benchmarks
Most implemented
Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection
Image Segmentation Using Text and Image Prompts
Segment Anything in High Quality
Seg-Zero: Reasoning-Chain Guided Segmentation via Cognitive Reinforcement
One-Prompt to Segment All Medical Images
Side Adapter Network for Open-Vocabulary Semantic Segmentation
Papers
Domain-Guided Prompting of the Segment Anything Model for Seismic Interpretation: The Role of Attributes, Visualization, and Hybrid Prompts
The advent of large pretrained foundation models for computer vision has significantly improved the efficiency of visual data interpretation. The Segment Anything Model (SAM), in particular, offers powerful zero shot seg…
Zero Shot SegmentationCompress Any Segment Anything Model (SAM)
Due to the excellent performance in yielding high-quality, zero-shot segmentation, Segment Anything Model (SAM) and its variants have been widely applied in diverse scenarios such as healthcare and intelligent manufactur…
modelQuantizationZero Shot SegmentationFoundation Models for Zero-Shot Segmentation of Scientific Images without AI-Ready Data
Zero-shot and prompt-based technologies capitalized on using frequently occurring images to transform visual reasoning tasks, which explains why such technologies struggle with valuable yet scarce scientific image sets. …
Visual ReasoningZero Shot SegmentationMRI-CORE: A Foundation Model for Magnetic Resonance Imaging
The widespread use of Magnetic Resonance Imaging (MRI) and the rise of deep learning have enabled the development of powerful predictive models for a wide range of diagnostic tasks in MRI, such as image classification or…
Diagnosticimage-classificationImage ClassificationSegmentation+2Textile Analysis for Recycling Automation using Transfer Learning and Zero-Shot Foundation Models
Automated sorting is crucial for improving the efficiency and scalability of textile recycling, but accurately identifying material composition and detecting contaminants from sensor data remains challenging. This paper …
SegmentationTransfer LearningZero Shot SegmentationZero-Shot Tree Detection and Segmentation from Aerial Forest Imagery
Large-scale delineation of individual trees from remote sensing imagery is crucial to the advancement of ecological research, particularly as climate change and other environmental factors rapidly transform forest landsc…
Image SegmentationSegmentationSemantic SegmentationZero Shot Segmentation