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Incremental Label Distribution Learning With Scalable Graph Convolutional Networks
Label Distribution Learning (LDL) is an effective approach for handling label ambiguity, as it can analyze all labels at once and …
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Incremental Label Distribution Learning With Scalable Graph Convolutional Networks
IDEAW: Robust Neural Audio Watermarking with Invertible Dual-Embedding
The audio watermarking technique embeds messages into audio and accurately extracts messages from the watermarked audio. Traditional …
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IDEAW: Robust Neural Audio Watermarking with Invertible Dual-Embedding
FormerReckoning: Physics Inspired Transformer for Accurate Inertial Navigation
TBD
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RREH: Reconstruction Relations Embedded Hashing for Semi-Paired Cross-Modal Retrieval
Known for efficient computation and easy storage, hashing has been extensively explored in cross-modal retrieval. The majority of …
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RREH: Reconstruction Relations Embedded Hashing for Semi-Paired Cross-Modal Retrieval
Efficient Multi-Model Fusion with Adversarial Complementary Representation Learning
Single-model systems often suffer from deficiencies in tasks such as speaker verification (SV) and image classification, relying …
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Efficient Multi-Model Fusion with Adversarial Complementary Representation Learning
Enhancing Anomalous Sound Detection with Multi-Level Memory Bank
Abnormal sound detection (ASD) is crucial for the timely detection of machine faults in industrial scenarios and has emerged as a …
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Enhancing Anomalous Sound Detection with Multi-Level Memory Bank
PRENet: A Plane-Fit Redundancy Encoding Point Cloud Sequence Network for Real-Time 3D Action Recognition
Recognizing human actions from point cloud sequence has attracted tremendous attention from both academia and industry due to its wide …
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PRENet: A Plane-Fit Redundancy Encoding Point Cloud Sequence Network for Real-Time 3D Action Recognition
Gecko: Resource-Efficient and Accurate Queries in Real-Time Video Streams at the Edge
Surveillance cameras are ubiquitous nowadays and users’ increasing needs for accessing real-world information (e.g., finding abandoned …
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Gecko: Resource-Efficient and Accurate Queries in Real-Time Video Streams at the Edge
Value-Driven Mixed-Precision Quantization for Patch-Based Inference on Microcontrollers
Deploying neural networks on microcontroller units (MCUs) presents substantial challenges due to their constrained computation and …
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Value-Driven Mixed-Precision Quantization for Patch-Based Inference on Microcontrollers
GAIA: Delving into Gradient-based Attribution Abnormality for Out-of-distribution Detection
Detecting out-of-distribution (OOD) examples is crucial to guarantee the reliability and safety of deep neural networks in real-world …
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GAIA: Delving into Gradient-based Attribution Abnormality for Out-of-distribution Detection