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Deep Residual Networks Drive New Breakthrough in Gait Recognition Research
A latest arXiv paper proposes a novel gait recognition method based on deep residual networks and mu...
Improved YOLOv8s Enables Intelligent Recognition of Student Behavior in Classrooms
Researchers propose ALC-YOLOv8s, an improved YOLOv8s-based student classroom behavior recognition mo...
SAM 3 Lightweight Distillation: Bringing Foundation Models to Livestock Edge Devices
Researchers distilled SAM 3's 446-million-parameter backbone to approximately 40.66 million paramete...
Dreame Hosts Full Launch Week in Silicon Valley, Showcasing Everything from Robot Vacuums to a Concept Supercar
Dreame held its "DREAME NEXT" launch week at the Palace of Fine Arts in San Francisco, becoming the ...
YOSE: Selecting Only Essential Tokens for Faster Video Object Removal
Researchers propose YOSE, a method that significantly improves the efficiency of Diffusion Transform...
VTBench: A New Framework for Multimodal Time Series Classification Driven by Chart Visualization
A latest arXiv paper proposes the VTBench framework, which transforms time series data into intuitiv...
Hybrid Quantum U-Net Architecture Breaks Through Remote Sensing Image Segmentation Bottleneck
A research team has proposed HQ-UNet, a hybrid quantum-classical architecture that introduces quantu...
AttriBE: Quantifying Attribute Expressivity in Body Embeddings
A new study introduces the AttriBE framework, which quantifies the expressivity of attributes such a...
Apple Accuses India's Antitrust Authority of Overreach, Faces Potential $38 Billion Fine
Apple has filed documents with an Indian court accusing the country's competition regulator of overs...
Jiemian Cailianshe Acquires 1% Stake in Xiaohongshu-Affiliated Company
Xiaohongshu-affiliated company Xingyin Information Technology (Shanghai) Co., Ltd. has undergone a b...
Knowledge Distillation Powers Low-Power Intelligent Plant Monitoring
A new study proposes a lightweight plant recognition solution based on knowledge distillation, trans...
InterPartAbility: A New Interpretable Person Re-Identification Framework Guided by Text
A latest arXiv paper proposes the InterPartAbility framework, which significantly improves the inter...