no code implementations • 14 Feb 2024 • Jie Mei, Mingyuan Jiu, Hichem Sahbi, Xiaoheng Jiang, Mingliang Xu
Few-shot detection is a major task in pattern recognition which seeks to localize objects using models trained with few labeled data.
no code implementations • 5 Feb 2024 • Xiaoheng Jiang, Feng Yan, Yang Lu, Ke Wang, Shuai Guo, Tianzhu Zhang, Yanwei Pang, Jianwei Niu, Mingliang Xu
To address these issues, we propose a joint attention-guided feature fusion network (JAFFNet) for saliency detection of surface defects based on the encoder-decoder network.
1 code implementation • 26 Nov 2023 • Yichen Bai, Zongbo Han, Changqing Zhang, Bing Cao, Xiaoheng Jiang, QinGhua Hu
Out-of-distribution (OOD) detection methods often exploit auxiliary outliers to train model identifying OOD samples, especially discovering challenging outliers from auxiliary outliers dataset to improve OOD detection.
no code implementations • 22 Sep 2023 • Feng Yan, Xiaoheng Jiang, Yang Lu, Lisha Cui, Shupan Li, Jiale Cao, Mingliang Xu, DaCheng Tao
To this end, we develop a Global Context Aggregation Network (GCANet) for lightweight saliency detection of surface defects on the encoder-decoder structure.
no code implementations • 22 Sep 2023 • Xiaoheng Jiang, Kaiyi Guo, Yang Lu, Feng Yan, Hao liu, Jiale Cao, Mingliang Xu, DaCheng Tao
To address these issues, we propose a transformer network with multi-stage CNN (Convolutional Neural Network) feature injection for surface defect segmentation, which is a UNet-like structure named CINFormer.
no code implementations • 22 Sep 2023 • Xiaoheng Jiang, Shilong Tian, Zhiwen Zhu, Yang Lu, Hao liu, Li Chen, Shupan Li, Mingliang Xu
In addition, we propose a perception fine-tuning module (PFM) that fine-tunes the foreground and background during the segmentation stage.
no code implementations • IEEE Transactions on Cybernetics 2023 • Lisha Cui, Pei Lv, Xiaoheng Jiang, Zhimin Gao, Bing Zhou, Luming Zhang, Ling Shao, Mingliang Xu
State-of-the-art object detectors usually progressively downsample the input image until it is represented by small feature maps, which loses the spatial information and compromises the representation of small objects.
Ranked #1 on Traffic Sign Detection on TT100K
no code implementations • 6 Oct 2022 • Zhimin Gao, Peitao Wang, Pei Lv, Xiaoheng Jiang, Qidong Liu, Pichao Wang, Mingliang Xu, Wanqing Li
Besides, these methods directly calculate the pair-wise global self-attention equally for all the joints in both the spatial and temporal dimensions, undervaluing the effect of discriminative local joints and the short-range temporal dynamics.
no code implementations • 10 Aug 2022 • Xiaoheng Jiang, Xinyi Wu, Hisham Cholakkal, Rao Muhammad Anwer, Jiale Cao Mingliang Xu, Bing Zhou, Yanwei Pang, Fahad Shahbaz Khan
The SkipAgg module directly propagates features with small receptive fields to features with much larger receptive fields.
no code implementations • 14 Jun 2021 • Pei Lv, Jianqi Fan, Xixi Nie, WeiMing Dong, Xiaoheng Jiang, Bing Zhou, Mingliang Xu, Changsheng Xu
This framework leverages user interactions to retouch and rank images for aesthetic assessment based on deep reinforcement learning (DRL), and generates personalized aesthetic distribution that is more in line with the aesthetic preferences of different users.
no code implementations • 26 Jan 2021 • Pei Lv, Hui Wei, Tianxin Gu, Yuzhen Zhang, Xiaoheng Jiang, Bing Zhou, Mingliang Xu
Based on this unique description, we develop one novel trajectory prediction method, called social probability.
no code implementations • CVPR 2020 • Xiaoheng Jiang, Li Zhang, Mingliang Xu, Tianzhu Zhang, Pei Lv, Bing Zhou, Xin Yang, Yanwei Pang
DANet provides ASNet with attention masks related to regions of different density levels.
1 code implementation • 18 May 2018 • Lisha Cui, Rui Ma, Pei Lv, Xiaoheng Jiang, Zhimin Gao, Bing Zhou, Mingliang Xu
The performance of small object detection, however, is still less than satisfactory because of the deficiency of semantic information on shallow feature maps.
no code implementations • 3 Mar 2018 • Mingliang Xu, Zhaoyang Ge, Xiaoheng Jiang, Gaoge Cui, Pei Lv, Bing Zhou, Changsheng Xu
DigCrowd first uses the depth information of an image to segment the scene into a far-view region and a near-view region.
no code implementations • 22 Mar 2016 • Yanwei Pang, Manli Sun, Xiaoheng Jiang, Xuelong. Li
In this paper, we propose to replace dense shallow MLP with sparse shallow MLP.
no code implementations • 1 Mar 2016 • Xiaoheng Jiang, Yanwei Pang, Manli Sun, Xuelong. Li
The first one is a linear filter of spatial size $ h\times w $ and is aimed at extracting features from spatial domain.