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Methods/STD

STD

Spatial-Channel Token Distillation

GeneralIntroduced 200032 papers
Source Paper

Description

The Spatial-Channel Token Distillation method is proposed to improve the spatial and channel mixing from a novel knowledge distillation (KD) perspective. To be specific, we design a special KD mechanism for MLP-like Vision Models called Spatial-channel Token Distillation (STD), which improves the information mixing in both the spatial and channel dimensions of MLP blocks. Instead of modifying the mixing operations themselves, STD adds spatial and channel tokens to image patches. After forward propagation, the tokens are concatenated for distillation with the teachers’ responses as targets. Each token works as an aggregator of its dimension. The objective of them is to encourage each mixing operation to extract maximal task-related information from their specific dimension.

Papers Using This Method

Geo-Registration of Terrestrial LiDAR Point Clouds with Satellite Images without GNSS2025-07-08Sparse-to-Dense: A Free Lunch for Lossless Acceleration of Video Understanding in LLMs2025-05-25RE-TRIP : Reflectivity Instance Augmented Triangle Descriptor for 3D Place Recognition2025-05-22A New Paradigm in IBR Modeling for Power Flow and Short Circuit Analysis2025-04-14DualQuat-LOAM: LiDAR Odometry and Mapping parameterized on Dual Quaternions2025-04-07GAA-TSO: Geometry-Aware Assisted Depth Completion for Transparent and Specular Objects2025-03-21Multimodal AI on Wound Images and Clinical Notes for Home Patient Referral2025-01-22MHGNet: Multi-Heterogeneous Graph Neural Network for Traffic Prediction2025-01-07Leveraging Prompt Learning and Pause Encoding for Alzheimer's Disease Detection2024-12-09BEST-STD: Bidirectional Mamba-Enhanced Speech Tokenization for Spoken Term Detection2024-11-21Spotlight Text Detector: Spotlight on Candidate Regions Like a Camera2024-09-25Fairness Under Cover: Evaluating the Impact of Occlusions on Demographic Bias in Facial Recognition2024-08-19IFTD: Image Feature Triangle Descriptor for Loop Detection in Driving Scenes2024-06-12Excess Delay from GDP: Measurement and Causal Analysis2024-05-18Adapting an Artificial Intelligence Sexually Transmitted Diseases Symptom Checker Tool for Mpox Detection: The HeHealth Experience2024-04-23On Extending the Automatic Test Markup Language (ATML) for Machine Learning2024-04-04Disturbance Ratio for Optimal Multi-Event Classification in Power Distribution Networks2024-02-18Data Quality Matters: Suicide Intention Detection on Social Media Posts Using RoBERTa-CNN2024-02-03Bootstrap Your Own Variance2023-12-06Uncertainty quantification for deep learning-based schemes for solving high-dimensional backward stochastic differential equations2023-10-05