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05/30/2023
A Recipe for Efficient SBIR Models: Combining Relative Triplet Loss with Batch Normalization and Knowledge Distillation
Sketch-Based Image Retrieval (SBIR) is a crucial task in multimedia retr...
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03/20/2023
Induced Feature Selection by Structured Pruning
The advent of sparsity inducing techniques in neural networks has been o...
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07/03/2022
FasterAI: A Lightweight Library for Creating Sparse Neural Networks
FasterAI is a PyTorch-based library, aiming to facilitate the utilizatio...
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03/11/2022
Improve Convolutional Neural Network Pruning by Maximizing Filter Variety
Neural network pruning is a widely used strategy for reducing model stor...
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01/11/2022
Towards Lightweight Neural Animation : Exploration of Neural Network Pruning in Mixture of Experts-based Animation Models
In the past few years, neural character animation has emerged and offere...
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01/11/2022
Where Is My Mind (looking at)? Predicting Visual Attention from Brain Activity
Visual attention estimation is an active field of research at the crossr...
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12/15/2021
An Experimental Study of the Impact of Pre-training on the Pruning of a Convolutional Neural Network
In recent years, deep neural networks have known a wide success in vario...
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07/05/2021
One-Cycle Pruning: Pruning ConvNets Under a Tight Training Budget
Introducing sparsity in a neural network has been an efficient way to re...
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10/08/2019
