no code implementations • 9 May 2024 • Yiheng Huang, Hui Yang, Chuanchen Luo, Yuxi Wang, Shibiao Xu, Zhaoxiang Zhang, Man Zhang, Junran Peng
The effect of the design of each component is still unclear.
1 code implementation • 16 Mar 2024 • Shibiao Xu, ShuChen Zheng, Wenhao Xu, Rongtao Xu, Changwei Wang, Jiguang Zhang, Xiaoqiang Teng, Ao Li, Li Guo
Infrared small object detection is an important computer vision task involving the recognition and localization of tiny objects in infrared images, which usually contain only a few pixels.
1 code implementation • 31 Jan 2024 • Shibiao Xu, Shunpeng Chen, Rongtao Xu, Changwei Wang, Peng Lu, Li Guo
The objective of this endeavor is to furnish a comprehensive overview of local feature matching methods.
1 code implementation • 24 Jan 2024 • Zengbin Wang, Saihui Hou, Man Zhang, Xu Liu, Chunshui Cao, Yongzhen Huang, Peipei Li, Shibiao Xu
Gait recognition is a promising biometric method that aims to identify pedestrians from their unique walking patterns.
no code implementations • 7 Jan 2024 • Genghao Zhang, Yuxi Wang, Chuanchen Luo, Shibiao Xu, Zhaoxiang Zhang, Man Zhang, Junran Peng
Indoor scene generation has attracted significant attention recently as it is crucial for applications of gaming, virtual reality, and interior design.
1 code implementation • 20 Dec 2023 • Wenhao Xu, Rongtao Xu, Changwei Wang, Shibiao Xu, Li Guo, Man Zhang, Xiaopeng Zhang
Recently, CLIP has found practical utility in the domain of pixel-level zero-shot segmentation tasks.
1 code implementation • 1 Nov 2023 • Jinzhou Lin, Han Gao, Xuxiang Feng, Rongtao Xu, Changwei Wang, Man Zhang, Li Guo, Shibiao Xu
This article offers an exhaustive summary of the symbiosis between LLMs and embodied intelligence with a focus on navigation.
1 code implementation • 29 Sep 2023 • Jingqian Wu, Rongtao Xu, Zach Wood-Doughty, Changwei Wang, Shibiao Xu, Edmund Lam
To do so, first, we construct an auxiliary task of Pixel Semantic Relational Distillation (PSRD), which distillates feature relations with category-agnostic semantic information learned by the SAM encoder into a local feature learning network, to improve local feature description using semantic discrimination.
1 code implementation • journal 2023 • Changwei Wang, Rongtao Xu, Ke Lu, Shibiao Xu, Weiliang Meng, Yuyang Zhang, Bin Fan, Xiaopeng Zhang
Local features detection and description are widely used in many vision applications with high industrial and commercial demands.
1 code implementation • 27 Feb 2023 • Rongtao Xu, Changwei Wang, Jiaxi Sun, Shibiao Xu, Weiliang Meng, Xiaopeng Zhang
In addition, to further improve the segmentation accuracy, we design a Variation-aware Refine Module to enhance the local consistency of pseudo-labels by computing pixel-level variation.
Weakly supervised Semantic Segmentation Weakly-Supervised Semantic Segmentation
no code implementations • ICCV 2023 • Changwei Wang, Rongtao Xu, Shibiao Xu, Weiliang Meng, Xiaopeng Zhang
To solve this problem, we develop a Double Decoupled Class Activation Map (D2CAM) for Mat-Label to generate a high-quality trimap.
1 code implementation • 14 Mar 2022 • Changwei Wang, Rongtao Xu, Yuyang Zhang, Shibiao Xu, Weiliang Meng, Bin Fan, Xiaopeng Zhang
Limited by the locality of convolutional neural networks, most existing local features description methods only learn local descriptors with local information and lack awareness of global and surrounding spatial context.
no code implementations • 23 Feb 2021 • Lan Chen, Lin Gao, Jie Yang, Shibiao Xu, Juntao Ye, Xiaopeng Zhang, Yu-Kun Lai
Moreover, as such methods only add details, they require coarse meshes to be close to fine meshes, which can be either impossible, or require unrealistic constraints when generating fine meshes.
no code implementations • 29 Jul 2020 • Changwei Wang, Rongtao Xu, Shibiao Xu, Weiliang Meng, Jun Xiao, Xiaopeng Zhang
Then, a novel Network with detailed representation transfer and Soft Mask supervision (DSNet) is proposed to process the input low-resolution images of lung nodules into high-quality segmentation results.
no code implementations • 12 May 2020 • Chengcheng Ma, Baoyuan Wu, Shibiao Xu, Yanbo Fan, Yong Zhang, Xiaopeng Zhang, Zhifeng Li
In this work, we study the detection of adversarial examples, based on the assumption that the output and internal responses of one DNN model for both adversarial and benign examples follow the generalized Gaussian distribution (GGD), but with different parameters (i. e., shape factor, mean, and variance).
1 code implementation • ICCV 2019 • Yong Zhao, Shibiao Xu, Shuhui Bu, Hongkai Jiang, Pengcheng Han
SLAM technology has recently seen many successes and attracted the attention of high-technological companies.
no code implementations • CVPR 2017 • Cheng Da, Shibiao Xu, Kun Ding, Gaofeng Meng, Shiming Xiang, Chunhong Pan
(2) A multi-integer-embedding is employed for compressing the whole database, which is modeled by binary sparse representation with fixed sparsity.