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When 512×512 is not Enough: Local Degradation-Aware Multi-Diffusion for Extreme Image Super-Resolution
We extend pretrained super-resolution models to larger images by using local-aware prompts.
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Distill the Best, Ignore the Rest: A Study in Latent Dataset Distillation on Core-Sets
We improve dataset distillation by distilling only a representative coreset.
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Addressing Heterogeneity in Federated Learning: Challenges and Solutions for a Shared Production Environment
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Benchmarking Federated Learning Under Realistic Non-IID Conditions: A Structured Partitioning Approach Using ImageNet
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Comparative Analysis of the Detection of Dairy Cows During Drinking Events Using YOLOv5, YOLOS, YOLOv7, and YOLOv8 Models
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Contrastive Left-Right Wearable Sensors (IMUs) Consistency Matching for HAR
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CPPM Copilot: Proposing an AI-Based Assistant for Manual Assembly Tasks in a Flexible Production
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eFAirWrite: Bringing energy efficient text entry to next generation smart devices
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Efficient Deep Neural Network Training with a Novel 5.3-bit Block Floating Point Data Format
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Embedded Inter-Subject Variability in Adversarial Learning for Inertial Sensor-Based Human Activity Recognition
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