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08/08/2023
Real-Time Progressive Learning: Mutually Reinforcing Learning and Control with Neural-Network-Based Selective Memory
Memory, as the basis of learning, determines the storage, update and for...
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07/19/2023
NTIRE 2023 Quality Assessment of Video Enhancement Challenge
This paper reports on the NTIRE 2023 Quality Assessment of Video Enhance...
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03/07/2023
Hybrid quantum-classical convolutional neural network for phytoplankton classification
The taxonomic composition and abundance of phytoplankton, having direct ...
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02/07/2023
Quantum Recurrent Neural Networks for Sequential Learning
Quantum neural network (QNN) is one of the promising directions where th...
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11/15/2022
Selective Memory Recursive Least Squares: Uniformly Allocated Approximation Capabilities of RBF Neural Networks in Real-Time Learning
When performing real-time learning tasks, the radial basis function neur...
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10/30/2022
Alleviating the Sample Selection Bias in Few-shot Learning by Removing Projection to the Centroid
Few-shot learning (FSL) targets at generalization of vision models towar...
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08/24/2022
Q-Net: Query-Informed Few-Shot Medical Image Segmentation
Deep learning has achieved tremendous success in computer vision, while ...
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03/02/2022
Towards Efficient and Stable K-Asynchronous Federated Learning with Unbounded Stale Gradients on Non-IID Data
Federated learning (FL) is an emerging privacy-preserving paradigm that ...
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12/23/2021
Dual Path Structural Contrastive Embeddings for Learning Novel Objects
Learning novel classes from a very few labeled samples has attracted inc...
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09/08/2021
From Cloud to Edge: A First Look at Public Edge Platforms
Public edge platforms have drawn increasing attention from both academia...
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05/17/2021
Class-Incremental Few-Shot Object Detection
Conventional detection networks usually need abundant labeled training s...
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02/17/2020
Improving Tracking through Human-Robot Sensory Augmentation
This paper introduces human-robot sensory augmentation and illustrates i...
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12/17/2019
Asynchronous Federated Learning with Differential Privacy for Edge Intelligence
Federated learning has been showing as a promising approach in paving th...
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06/05/2019
Impact of Prior Knowledge and Data Correlation on Privacy Leakage: A Unified Analysis
It has been widely understood that differential privacy (DP) can guarant...
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04/05/2018
Semi-Supervised Classification for oil reservoir
This paper addresses the general problem of accurate identification of o...
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05/26/2017
Learning Robust Features with Incremental Auto-Encoders
Automatically learning features, especially robust features, has attract...
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05/26/2017
Zero-Shot Learning with Generative Latent Prototype Model
Zero-shot learning, which studies the problem of object classification f...
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03/15/2017