research
∙
08/14/2023
SCSC: Spatial Cross-scale Convolution Module to Strengthen both CNNs and Transformers
This paper presents a module, Spatial Cross-scale Convolution (SCSC), wh...
share
research
∙
04/12/2023
DynamicDet: A Unified Dynamic Architecture for Object Detection
Dynamic neural network is an emerging research topic in deep learning. W...
research
∙
03/23/2023
A Simple and Generic Framework for Feature Distillation via Channel-wise Transformation
Knowledge distillation is a popular technique for transferring the knowl...
research
∙
04/19/2022
NAFSSR: Stereo Image Super-Resolution Using NAFNet
Stereo image super-resolution aims at enhancing the quality of super-res...
research
∙
04/10/2022
Simple Baselines for Image Restoration
Although there have been significant advances in the field of image rest...
research
∙
04/06/2022
IterVM: Iterative Vision Modeling Module for Scene Text Recognition
Scene text recognition (STR) is a challenging problem due to the imperfe...
research
∙
03/13/2022
Training Protocol Matters: Towards Accurate Scene Text Recognition via Training Protocol Searching
The development of scene text recognition (STR) in the era of deep learn...
research
∙
12/08/2021
Revisiting Global Statistics Aggregation for Improving Image Restoration
Global spatial statistics, which are aggregated along entire spatial dim...
research
∙
07/01/2021
CBNetV2: A Composite Backbone Network Architecture for Object Detection
Consistent performance gains through exploring more effective network st...
research
∙
05/13/2021
