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Computer Vision
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Self-Supervision Enhances Instance-based Multiple Instance Learning Methods in Digital Pathology: A Benchmark Study
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Self-Supervision Enhances Instance-based Multiple Instance Learning Methods in D ...
Posted by Mark Field in Artificial Intelligence and Computer Vision
Multiple Instance Learning (MIL) has emerged as the best solution for Whole Slide Image (WSI) classification. It consists of dividing each slide into patches, which are treated as a bag of i....
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FreePCA: Integrating Consistency Information across Long-short Frames in Training-free Long Video Generation via Principal Component Analysis
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FreePCA: Integrating Consistency Information across Long-short Frames in Trainin ...
Posted by Mark Field in Artificial Intelligence and Computer Vision
Long video generation involves generating extended videos using models trained on short videos, suffering from distribution shifts due to varying frame counts. It necessitates the use of loc....
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Fast2comm:Collaborative perception combined with prior knowledge
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Fast2comm:Collaborative perception combined with prior knowledge
Posted by Mark Field in Artificial Intelligence and Computer Vision
Collaborative perception has the potential to significantly enhance perceptual accuracy through the sharing of complementary information among agents. However, real-world collaborative perce....
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Detection and Classification of Diseases in Multi-Crop Leaves using LSTM and CNN Models
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Detection and Classification of Diseases in Multi-Crop Leaves using LSTM and CNN ...
Posted by Mark Field in Artificial Intelligence and Computer Vision
Plant diseases pose a serious challenge to agriculture by reducing crop yield and affecting food quality. Early detection and classification of these diseases are essential for minimising lo....
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