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08/23/2023
A Unified Framework for 3D Point Cloud Visual Grounding
3D point cloud visual grounding plays a critical role in 3D scene compre...
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06/09/2023
Spatial Re-parameterization for N:M Sparsity
This paper presents a Spatial Re-parameterization (SpRe) method for the ...
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05/29/2023
DiffRate : Differentiable Compression Rate for Efficient Vision Transformers
Token compression aims to speed up large-scale vision transformers (e.g....
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05/14/2023
MultiQuant: A Novel Multi-Branch Topology Method for Arbitrary Bit-width Network Quantization
Arbitrary bit-width network quantization has received significant attent...
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05/10/2023
Distribution-Flexible Subset Quantization for Post-Quantizing Super-Resolution Networks
This paper introduces Distribution-Flexible Subset Quantization (DFSQ), ...
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02/13/2023
Bi-directional Masks for Efficient N:M Sparse Training
We focus on addressing the dense backward propagation issue for training...
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12/29/2022
Discriminator-Cooperated Feature Map Distillation for GAN Compression
Despite excellent performance in image generation, Generative Adversaria...
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12/26/2022
SMMix: Self-Motivated Image Mixing for Vision Transformers
CutMix is a vital augmentation strategy that determines the performance ...
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12/21/2022
Exploring Content Relationships for Distilling Efficient GANs
This paper proposes a content relationship distillation (CRD) to tackle ...
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11/26/2022
Meta Architecure for Point Cloud Analysis
Recent advances in 3D point cloud analysis bring a diverse set of networ...
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11/12/2022
Exploiting the Partly Scratch-off Lottery Ticket for Quantization-Aware Training
Quantization-aware training (QAT) receives extensive popularity as it we...
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08/27/2022
LAB-Net: LAB Color-Space Oriented Lightweight Network for Shadow Removal
This paper focuses on the limitations of current over-parameterized shad...
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06/14/2022
Learning Best Combination for Efficient N:M Sparsity
By forcing at most N out of M consecutive weights to be non-zero, the re...
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05/10/2022
Shadow-Aware Dynamic Convolution for Shadow Removal
With a wide range of shadows in many collected images, shadow removal ha...
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03/08/2022
Dynamic Dual Trainable Bounds for Ultra-low Precision Super-Resolution Networks
Light-weight super-resolution (SR) models have received considerable att...
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03/08/2022
Coarse-to-Fine Vision Transformer
Vision Transformers (ViT) have made many breakthroughs in computer visio...
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01/30/2022
Optimizing Gradient-driven Criteria in Network Sparsity: Gradient is All You Need
Network sparsity receives popularity mostly due to its capability to red...
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01/04/2022
What Hinders Perceptual Quality of PSNR-oriented Methods?
In this paper, we discover two factors that inhibit POMs from achieving ...
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10/27/2021
Revisiting Discriminator in GAN Compression: A Generator-discriminator Cooperative Compression Scheme
Recently, a series of algorithms have been explored for GAN compression,...
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09/09/2021
Fine-grained Data Distribution Alignment for Post-Training Quantization
While post-training quantization receives popularity mostly due to its e...
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09/06/2021
Error Controlled Actor-Critic
On error of value function inevitably causes an overestimation phenomeno...
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07/14/2021
Training Compact CNNs for Image Classification using Dynamic-coded Filter Fusion
The mainstream approach for filter pruning is usually either to force a ...
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06/04/2021
You Only Compress Once: Towards Effective and Elastic BERT Compression via Exploit-Explore Stochastic Nature Gradient
Despite superior performance on various natural language processing task...
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05/31/2021
1×N Block Pattern for Network Sparsity
Though network sparsity emerges as a promising direction to overcome the...
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05/24/2021
Towards Compact CNNs via Collaborative Compression
Channel pruning and tensor decomposition have received extensive attenti...
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04/18/2021
Lottery Jackpots Exist in Pre-trained Models
Network pruning is an effective approach to reduce network complexity wi...
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02/16/2021
SiMaN: Sign-to-Magnitude Network Binarization
Binary neural networks (BNNs) have attracted broad research interest due...
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06/25/2020
Consortium Blockchain for Security and Privacy-Preserving in E-government Systems
Since its inception as a solution for secure cryptocurrencies sharing in...
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06/25/2020
A framework of blockchain-based secure and privacy-preserving E-government system
Electronic government (e-government) uses information and communication ...
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09/25/2019
Decoder Choice Network for Meta-Learning
Meta-learning has been widely used for implementing few-shot learning an...
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09/25/2019
Stock Prices Prediction using Deep Learning Models
Financial markets have a vital role in the development of modern society...
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09/19/2019