no code implementations • 23 Oct 2024 • Patrick Hippold, Gleb Kleyman, Lukas Woiwode, Tong Wei, Florian Müller, Christoph Schwingshackl, Maren Scheel, Sebastian Tatzko, Malte Krack
Sinusoidal excitation is particularly popular for testing structures in the nonlinear regime.
1 code implementation • 8 Oct 2024 • Zi-Hao Zhou, Siyuan Fang, Zi-Jing Zhou, Tong Wei, Yuanyu Wan, Min-Ling Zhang
By progressively estimating the underlying label distribution and optimizing its alignment with model predictions, we tackle the diverse distribution of unlabeled data in real-world scenarios.
1 code implementation • 29 Sep 2024 • Tong Wei, Hao-Tian Li, Chun-Shu Li, Jiang-Xin Shi, Yu-Feng Li, Min-Ling Zhang
The proposed framework establishes a noisy label detector by learning positive and negative textual prompts for each class.
1 code implementation • 23 Jun 2024 • Tong Wei, Philipp Lindenberger, Jiri Matas, Daniel Barath
We propose a novel visual place recognition approach based on overlap prediction, called VOP, shifting from traditional reliance on global image similarities and local features to image overlap prediction.
1 code implementation • 19 Jun 2024 • Kai Gan, Tong Wei, Min-Ling Zhang
While long-tailed semi-supervised learning (LTSSL) has received tremendous attention in many real-world classification problems, existing LTSSL algorithms typically assume that the class distributions of labeled and unlabeled data are almost identical.
1 code implementation • 18 Jun 2024 • Jiang-Xin Shi, Chi Zhang, Tong Wei, Yu-Feng Li
For efficient adaptation, we treat the CLIP model as a black box and leverage the extracted features to obtain visual and textual prototypes for prediction.
1 code implementation • 20 May 2024 • Kai Gan, Tong Wei
Semi-supervised learning (SSL) has witnessed remarkable progress, resulting in the emergence of numerous method variations.
1 code implementation • 10 May 2024 • Shenxiang Feng, Xiaojian Hao, Xiaodong Huang, Pan Pei, Tong Wei, Chenyang Xu
This method utilizes the flame thermal radiation characteristics and differentiable rendering in graphics, and combines it with a multi-layer perceptron to achieve a functional representation of the flame temperature field.
no code implementations • 14 Feb 2024 • Yuanyu Wan, Tong Wei, Bo Xue, Mingli Song, Lijun Zhang
Our analysis reveals that the projection-free variant can achieve ${O}(nT^{3/4})$ and ${O}(nT^{2/3}(\log T)^{1/3})$ regret bounds for convex and strongly convex functions with nearly optimal $\tilde{O}(\rho^{-1/2}\sqrt{T})$ and $\tilde{O}(\rho^{-1/2}T^{1/3}(\log T)^{2/3})$ communication rounds, respectively.
1 code implementation • 14 Dec 2023 • Tong Wei, Bo-Lin Wang, Min-Ling Zhang
The main difficulty lies in distinguishing OOD data from samples belonging to the tail classes, as the ability of a classifier to detect OOD instances is not strongly correlated with its accuracy on the in-distribution classes.
1 code implementation • 21 Sep 2023 • Bo Ye, Kai Gan, Tong Wei, Min-Ling Zhang
In open-world semi-supervised learning, a machine learning model is tasked with uncovering novel categories from unlabeled data while maintaining performance on seen categories from labeled data.
Novel Class Discovery
Open-World Semi-Supervised Learning
+1
1 code implementation • 18 Sep 2023 • Jiang-Xin Shi, Tong Wei, Zhi Zhou, Jie-Jing Shao, Xin-Yan Han, Yu-Feng Li
The fine-tuning paradigm in addressing long-tail learning tasks has sparked significant interest since the emergence of foundation models.
Ranked #1 on
Long-tail Learning
on CIFAR-100-LT (ρ=100)
(using extra training data)
Fine-Grained Image Classification
Long-tail learning with class descriptors
no code implementations • ICCV 2023 • Xiaoyong Lu, Yaping Yan, Tong Wei, Songlin Du
Current feature matching methods focus on point-level matching, pursuing better representation learning of individual features, but lacking further understanding of the scene.
no code implementations • 8 May 2023 • Tong Wei, Linlong Wu, Kumar Vijay Mishra, M. R. Bhavani Shankar
This surface is crucial for designing compact low-cost wideband wireless systems, wherein ultra-massive antenna arrays are required to compensate for the losses incurred by severe attenuation and diffraction.
1 code implementation • CVPR 2023 • Tong Wei, Kai Gan
While long-tailed semi-supervised learning (LTSSL) has received tremendous attention in many real-world classification problems, existing LTSSL algorithms typically assume that the class distributions of labeled and unlabeled data are almost identical.
2 code implementations • ICCV 2023 • Tong Wei, Yash Patel, Alexander Shekhovtsov, Jiri Matas, Daniel Barath
We propose $\nabla$-RANSAC, a generalized differentiable RANSAC that allows learning the entire randomized robust estimation pipeline.
4 code implementations • 8 Oct 2022 • Tong Wei, Zhen Mao, Jiang-Xin Shi, Yu-Feng Li, Min-Ling Zhang
Multi-label learning has attracted significant attention from both academic and industry field in recent decades.
1 code implementation • 21 Sep 2022 • Haibin Zhou, Tong Wei, Zichuan Lin, Junyou Li, Junliang Xing, Yuanchun Shi, Li Shen, Chao Yu, Deheng Ye
We study the adaption of Soft Actor-Critic (SAC), which is considered as a state-of-the-art reinforcement learning (RL) algorithm, from continuous action space to discrete action space.
no code implementations • 26 May 2022 • Tong Wei, Qian-Yu Liu, Jiang-Xin Shi, Wei-Wei Tu, Lan-Zhe Guo
TRAS transforms the imbalanced pseudo-label distribution of a traditional SSL model via a delicate function to enhance the supervisory signals for minority classes.
1 code implementation • ICCV 2023 • Tong Wei, Jiri Matas, Daniel Barath
We propose a new sampler for robust estimators that always selects the sample with the highest probability of consisting only of inliers.
no code implementations • 22 Oct 2021 • Tong Wei, Jiang-Xin Shi, Yu-Feng Li, Min-Ling Zhang
Deep neural networks have been shown to be very powerful methods for many supervised learning tasks.
no code implementations • 26 Aug 2021 • Tong Wei, Jiang-Xin Shi, Wei-Wei Tu, Yu-Feng Li
To overcome this limitation, we establish a new prototypical noise detection method by designing a distance-based metric that is resistant to label noise.
Ranked #27 on
Image Classification
on mini WebVision 1.0
no code implementations • ICCV 2021 • Zhi-Fan Wu, Tong Wei, Jianwen Jiang, Chaojie Mao, Mingqian Tang, Yu-Feng Li
The existence of noisy data is prevalent in both the training and testing phases of machine learning systems, which inevitably leads to the degradation of model performance.
Ranked #19 on
Image Classification
on mini WebVision 1.0
no code implementations • 9 Apr 2021 • Tong Wei, Linlong Wu, M. R. Bhavani Shankar
Beampattern synthesis is a key problem in many wireless applications.
no code implementations • 1 Jan 2021 • Tong Wei, Wei-Wei Tu, Yu-Feng Li
Extreme multi-label learning (XML) works to annotate objects with relevant labels from an extremely large label set.
1 code implementation • 19 Jul 2020 • Tong Wei, Junlin Hou and Rui Feng
According to the output of edge prediction, we design a fuzzy membership function to achieve more exact relationship representations for node classification.
no code implementations • 20 Apr 2020 • Tong Wei, Feng Shi, Hai Wang, Wei-Wei Tu. Yu-Feng Li
To facilitate supervised consistency, reliable negative examples are mined from unlabeled data due to the absence of negative samples.