research
∙
06/09/2023
Spatial Re-parameterization for N:M Sparsity
This paper presents a Spatial Re-parameterization (SpRe) method for the ...
share
research
∙
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...
research
∙
05/10/2023
Distribution-Flexible Subset Quantization for Post-Quantizing Super-Resolution Networks
This paper introduces Distribution-Flexible Subset Quantization (DFSQ), ...
research
∙
02/13/2023
Bi-directional Masks for Efficient N:M Sparse Training
We focus on addressing the dense backward propagation issue for training...
research
∙
12/08/2022
Shadow Removal by High-Quality Shadow Synthesis
Most shadow removal methods rely on the invasion of training images asso...
research
∙
11/12/2022
Exploiting the Partly Scratch-off Lottery Ticket for Quantization-Aware Training
Quantization-aware training (QAT) receives extensive popularity as it we...
research
∙
03/08/2022
Dynamic Dual Trainable Bounds for Ultra-low Precision Super-Resolution Networks
Light-weight super-resolution (SR) models have received considerable att...
research
∙
11/17/2021
IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Shot Network Quantization
Learning to synthesize data has emerged as a promising direction in zero...
research
∙
09/09/2021
Fine-grained Data Distribution Alignment for Post-Training Quantization
While post-training quantization receives popularity mostly due to its e...
research
∙
09/18/2019
Re-ID Driven Localization Refinement for Person Search
Person search aims at localizing and identifying a query person from a g...
research
∙
04/06/2019
