no code implementations • 14 Aug 2023 • Xijun Wang, Xiaojie Chu, Chunrui Han, Xiangyu Zhang
This paper presents a module, Spatial Cross-scale Convolution (SCSC), which is verified to be effective in improving both CNNs and Transformers.
1 code implementation • CVPR 2023 • ZhiHao Lin, Yongtao Wang, Jinhe Zhang, Xiaojie Chu
We also present a novel optimization strategy with an exiting criterion based on the detection losses for our dynamic detectors.
no code implementations • 23 Mar 2023 • Ziwei Liu, Yongtao Wang, Xiaojie Chu
Specifically, we propose a learnable nonlinear channel-wise transformation to align the features of the student and the teacher model.
4 code implementations • 19 Apr 2022 • Xiaojie Chu, Liangyu Chen, Wenqing Yu
This paper inherits a strong and simple image restoration model, NAFNet, for single-view feature extraction and extends it by adding cross attention modules to fuse features between views to adapt to binocular scenarios.
9 code implementations • 10 Apr 2022 • Liangyu Chen, Xiaojie Chu, Xiangyu Zhang, Jian Sun
Although there have been significant advances in the field of image restoration recently, the system complexity of the state-of-the-art (SOTA) methods is increasing as well, which may hinder the convenient analysis and comparison of methods.
Ranked #1 on Deblurring on MSU BASED
1 code implementation • 6 Apr 2022 • Xiaojie Chu, Yongtao Wang
By combining the proposed IterVM with iterative language modeling module, we further propose a powerful scene text recognizer called IterNet.
2 code implementations • 13 Mar 2022 • Xiaojie Chu, Yongtao Wang, Chunhua Shen, Jingdong Chen, Wei Chu
The development of scene text recognition (STR) in the era of deep learning has been mainly focused on novel architectures of STR models.
2 code implementations • 8 Dec 2021 • Xiaojie Chu, Liangyu Chen, Chengpeng Chen, Xin Lu
Our TLC converts global operations to local ones only during inference so that they aggregate features within local spatial regions rather than the entire large images.
Ranked #1 on Color Image Denoising on Urban100 sigma30
4 code implementations • 1 Jul 2021 • TingTing Liang, Xiaojie Chu, Yudong Liu, Yongtao Wang, Zhi Tang, Wei Chu, Jingdong Chen, Haibin Ling
With multi-scale testing, we push the current best single model result to a new record of 60. 1% box AP and 52. 3% mask AP without using extra training data.
Ranked #6 on Object Detection on COCO-O
2 code implementations • 13 May 2021 • Liangyu Chen, Xin Lu, Jie Zhang, Xiaojie Chu, Chengpeng Chen
Specifically, we present a novel block: Half Instance Normalization Block (HIN Block), to boost the performance of image restoration networks.
Ranked #3 on Single Image Deraining on Test2800
10 code implementations • 5 May 2021 • Xiaohan Ding, Chunlong Xia, Xiangyu Zhang, Xiaojie Chu, Jungong Han, Guiguang Ding
We propose RepMLP, a multi-layer-perceptron-style neural network building block for image recognition, which is composed of a series of fully-connected (FC) layers.
Ranked #754 on Image Classification on ImageNet