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09/13/2023
Video Infringement Detection via Feature Disentanglement and Mutual Information Maximization
The self-media era provides us tremendous high quality videos. Unfortuna...
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08/16/2023
Membrane Potential Batch Normalization for Spiking Neural Networks
As one of the energy-efficient alternatives of conventional neural netwo...
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08/13/2023
RMP-Loss: Regularizing Membrane Potential Distribution for Spiking Neural Networks
Spiking Neural Networks (SNNs) as one of the biology-inspired models hav...
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07/10/2023
InfLoR-SNN: Reducing Information Loss for Spiking Neural Networks
The Spiking Neural Network (SNN) has attracted more and more attention r...
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05/31/2023
Direct Learning-Based Deep Spiking Neural Networks: A Review
The spiking neural network (SNN), as a promising brain-inspired computat...
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05/17/2023
From Region to Patch: Attribute-Aware Foreground-Background Contrastive Learning for Fine-Grained Fashion Retrieval
Attribute-specific fashion retrieval (ASFR) is a challenging information...
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05/03/2023
Joint A-SNN: Joint Training of Artificial and Spiking Neural Networks via Self-Distillation and Weight Factorization
Emerged as a biology-inspired method, Spiking Neural Networks (SNNs) mim...
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01/02/2023
Model-Driven Deep Learning for Non-Coherent Massive Machine-Type Communications
In this paper, we investigate the joint device activity and data detecti...
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10/13/2022
Real Spike: Learning Real-valued Spikes for Spiking Neural Networks
Brain-inspired spiking neural networks (SNNs) have recently drawn more a...
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05/25/2022
NTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and Results
This paper reviews the challenge on constrained high dynamic range (HDR)...
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04/20/2022
Efficient Progressive High Dynamic Range Image Restoration via Attention and Alignment Network
HDR is an important part of computational photography technology. In thi...
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03/28/2022
UNMAS: Multi-Agent Reinforcement Learning for Unshaped Cooperative Scenarios
Multi-agent reinforcement learning methods such as VDN, QMIX, and QTRAN ...
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06/16/2021
ECKPN: Explicit Class Knowledge Propagation Network for Transductive Few-shot Learning
Recently, the transductive graph-based methods have achieved great succe...
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04/06/2021
Fine-Grained Fashion Similarity Prediction by Attribute-Specific Embedding Learning
This paper strives to predict fine-grained fashion similarity. In this s...
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02/18/2021
Hierarchical Similarity Learning for Language-based Product Image Retrieval
This paper aims for the language-based product image retrieval task. The...
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02/07/2020