Frequency-Domain Feature Learning

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Frequency-domain feature learning studies how models represent patterns at different spatial or temporal frequencies, from periodic trends and rhythms to edges and fine textures. Common approaches use FFT, STFT, DCT, wavelets, or learned filter banks, combined with band-specific branches, spectral attention, adaptive filtering, or fusion with time- and spatial-domain features. These methods are applied to forecasting, image and audio tasks, EEG, graph learning, and inverse problems, while theoretical work examines why models learn some frequencies before others. A central tension is that low-frequency emphasis can capture global structure and improve stability but may lose fine detail; fixed spectral choices, phase and amplitude cues, and band balances do not transfer equally across tasks or domains.

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195 papers12 papers in the last four weeks, up 9% on the four weeks before. 0.1% of all new papers.

Spectral Invariant Fusion and Refinement for Domain Generalized Semantic Segmentation
Oct 29, 2026Yansong Bai, Yunzhi Zhuge, Xinzhuo Yu +4Domain Generalization for Semantic Segmentation Invariant Representation Learning
Yansong Bai, Yunzhi Zhuge, Lu Zhang, Pingping Zhang and Huchuan Lu are with the School of Information and Communication Engineering, Dalian University of Technology, Dalian 116081, China. · Xinzhuo Yu and Jin Zhan are with the School of Computer Science and Technology, Dalian University of Technology, Dalian 116081, China.
FGD2HF: Frequency-guided Dual-domain Hypergraph Fusion for Semantic Segmentation
Oct 26, 2026Xiaofan Yang, Wei Pan, Yubin Liu +3Semantic Segmentation Efficient Semantic Segmentation
Harbin Institute of Technology, Xidazhi Street 92, Nangang Dist., Harbin, 150001, Heilongjiang, China · Harbin Engineering University, Nantong Street 145, Nangang Dist., Harbin, 150001, Heilongjiang, China
STFT Frontend Mismatch in Pretrained Audio Spectrogram Transformers: Analysis and Adaptation
Oct 25, 2026Julia Wilkins, Wei-Ching Lin, Abinaya Kumar +2Audio Classification Transformer
New York University, USA · Bosch Research, USA
Single-Cycle Battery Remaining Useful Life Prediction with Compressed Continuous Wavelet Features and Deep Neural Networks
Oct 25, 2026Sungeun Kim, Mingyu Jung, Yuri Kim +2RUL Estimation Lithium-Ion Batteries
Department of Artificial Intelligence, Ajou University, Suwon, 16499, Republic of Korea · Department of Materials Science & Engineering, Ajou University, Suwon, 16499, Republic of Korea · Department of Software & Computer Engineering, Ajou University, Suwon, 16499, Republic of Korea
FreqPKC: Frequency-Aware PeakConv for Radar Semantic Segmentation
Oct 24, 2026Yangyong Deng, Pengyu Zhang, Shaoqiu Song +2Semantic Segmentation Millimeter-Wave Radar
College of Electronic Science and Technology, National University of Defense Technology, Changsha, Hunan 410073, China.
Expressivity of IQP Feature-Map Quantum Kernels via Reproducing Kernel Hilbert Spaces
Oct 16, 2026Valeria Repetto, Stefano Melchionna, Romina D'AurizioQuantum Kernel Methods Quantum Feature Maps
National Research Council of Italy (CNR), Institute of Informatics and Telematics (IIT), via Giuseppe Moruzzi 1, Pisa, Italy · Computational Biomedicine Unit, Department of Medical Sciences, University of Turin, via Santena 19, Torino, Italy · Kipu Quantum, Greifswalderstrasse 212, 10405 Berlin, Germany
Wavelength Diversity Expands the Expressive Power of Optical Computing
Oct 16, 2026Shiqi Chen, Che-Yung Shen, Parnian Ghapandar Kashani +2Photonic Computing Universal Approximation
Electrical and Computer Engineering Department, University of California, Los Angeles, CA, 90095, USA · Bioengineering Department, University of California, Los Angeles, CA, 90095, USA · California NanoSystems Institute (CNSI), University of California, Los Angeles, CA, 90095, USA
Resolution Allocation with Learnable Resizing and Spectral Filter Parameterization
Oct 14, 2026Wei Wu, Eric C. LarsonConvolutional Neural Networks Frequency-Domain Feature Learning
Department of Computer Science, Southern Methodist University, Dallas, TX, USA
Frequency Routing and Identity Conditioning for Thermal-to-Visible Face Translation
Oct 13, 2026Haojie Li, Xinlong Sun, Xiaohaoyang Lei +4Image-to-Image Translation Frequency-Domain Feature Learning
Monash University, Monash Suzhou Research Institute, Suzhou, China · Southeast University, School of Computer Science and Engineering, PALM Lab, Nanjing, China · Monash University, Faculty of Information Technology, Australia
Probability-Signature Dynamics: Unpacking Modular Addition Learning Within Two-Layer Networks
Oct 8, 2026Yunji Wang, Junjie Yao, Linyu Liu +2Neural Network Training Dynamics Frequency-Domain Feature Learning
School of Mathematical Sciences, Shanghai Jiao Tong University · Huawei Technologies Ltd · Shanghai University of Finance and Economics +1
Learning qBIC Resonances across Metasurface Families in Dielectric Fourier Space
Oct 8, 2026Shuangteng Lei, Li Yu, Tianxin Li +1Frequency-Domain Feature Learning Inverse Design
State Key Laboratory of Infrared Physics, Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, China · University of Chinese Academy of Sciences, Beijing 100049, China · School of Physical Science and Technology, ShanghaiTech University, Shanghai 201210, China
Spatial-Frequency-Aware Implicit Neural Representation of Multidimensional Signals via MLP-KAN Fusion
Oct 8, 2026Wen Yan, Ligen Shi, Jun Qiu +3Implicit Neural Representations Spectral Bias
Institute of Computational Imaging, Beijing Information Science and Technology University, Beijing 102206, China · College of Computer Science (College of Software), Inner Mongolia University, Hohhot 010021, China · Research Center for Spatiotemporal Intelligence, Inner Mongolia University, Hohhot 010021, China
Revisiting Input Time-frequency Representations in Multi-pitch Estimation for Vocal Ensembles
Oct 2, 2026Junyoung Koh, Hao-Wen DongMusic Information Retrieval Audio Understanding
Yonsei University · University of Michigan
Neural Fourier Surrogates for Data Reuploading Quantum Neural Networks
Sep 30, 2026Oliver Knitter, Jonathan Mei, Sang Hyub Kim +3Neural Surrogate Modeling Frequency-Domain Feature Learning
IonQ Inc., 4505 Campus Drive, College Park, MD 20740, USA.
TimeES: Probabilistic and Deterministic Time Series Forecasting via Evolutionary Spectra
Sep 26, 2026Weiwei Ye, Renhe Jiang, Hangchen Liu +2Non-Stationary Time Series Forecasting Probabilistic Time Series Forecasting
The University of Tokyo
Factorized axis convolutional gated recurrent unit with dynamic adaptive pooling for remaining useful life prediction of rolling bearings
Sep 25, 2026Hanbyeol Park, Jungho Choo, Hyerim BaeRUL Estimation Frequency-Domain Feature Learning
Department of Industrial Engineering Pusan National University Pusan, Republic of Korea
Neuralized Multi-Wavelet Decomposition for Time Series Classification and Forecasting
Sep 24, 2026Xiaohan Jiang, Jingyuan Wang, Jiahao Ji +3Time Series Classification Frequency-Domain Feature Learning
School of Computer Science and Engineering, Beihang University, Beijing, China · School of Computer Science and Engineering and the School of Economics and Management, Beihang University, Beijing, China · School of Computer Science and Engineering, Beihang University, Beijing, China, and are also with the MOE Engineering Research Center of Advanced Computer Application Technology, Beihang University, China +1
FreqSpaNet: Frequency and Spatial Learning of SFPF for Physical Layer Hardware Integrity Detection
Sep 15, 2026Xiaoxuan Huang, Jinlong Xu, YiZhe Wang +3Frequency-Domain Feature Learning Anomaly Detection
FAHCD-Net: Frequency-Adaptive Heatmap-Conditional Diffusion Networks for Robust Facial Landmark Detection
Sep 15, 2026Jun Wan, Jiwei Hu, Shengkai Hu +1Frequency-Domain Feature Learning Conditional Diffusion Models
School of Information Engineering, Zhongnan University of Economics and Law, Wuhan 430073, China
When Does Domain Adaptation Help on Physical Vibration Sensors? A Held-Out-Bearing Study of Neural-Operator and Convolutional Models
Sep 11, 2026Kumbha Nagaswetha, Rabi PathakUnsupervised Domain Adaptation Bearing Fault Diagnosis
India
FreqFLD: Towards All-in-One Facial Landmark Detection via Frequency Modulation
Sep 9, 2026Shun Ren, Kaijie Jin, Shengkai Hu +5Mixture of Experts Frequency-Domain Feature Learning
College of Computer and Information Technology, China Three Gorges University, Yichang 443002, China · School of Information Engineering, Zhongnan University of Economics and Law, Wuhan 430073, China · National Institute of Natural Hazards, Ministry of Emergency Management of China, Beijing 100085, China +3
Phase-Aware Spatial-Frequency Fusion for Few-Shot Fine-Grained Image Classification
Sep 3, 2026Ruiling Liu, Linyue Zhang, Wenyi Zeng +5Frequency-Domain Feature Learning Fine-Grained Image Classification
Neural Music Enhancement with Dual Time-Frequency Spectral Representations for Prediction and Discrimination
Sep 3, 2026Fei Liu, Yang Ai, Zhen-Hua LingFrequency-Domain Feature Learning
National Engineering Research Center of Speech and Language Information Processing, University of Science and Technology of China, Hefei, China
LaST-SR: Laplace-Inspired Steady-Transient Complex-Frequency Decomposition for Single Image Super-Resolution
Sep 2, 2026Linhao Li, Zhaojie Pan, Langkun ChenFrequency-Domain Feature Learning Frequency-Domain Image Processing
School of Mathematics Southeast University Nanjing, China
FLaG: Frequency-Domain Latent-attention Gated Pooling for Token Aggregation
Sep 1, 2026Kewei Li, Rongying Zhang, Xueli Wang +6Frequency-Domain Feature Learning
College of Computer Science and Technology, Jilin University, Changchun, 130012, China. · Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, 130012, China. · Institute for Quantitative and Computational Biology, University of California, Los Angeles, 90024, United States of America. +4
PhasorNet: Learning Structure from Frequency for Real-Time Stereo Matching
Aug 30, 2026Md Raqib Khan, Santosh Kumar Vipparthi, Subrahmanyam MuralaFrequency-Domain Feature Learning Stereo Matching
CVPR Lab, Trinity College Dublin, The University of Dublin, Dublin, Ireland · CVPR Lab, Indian Institute of Technology Ropar, Rupnagar, Punjab, India
Frequency Selective Neural Networks as a Foundation Architecture for Time Series Learning
Aug 29, 2026Hui Huang, Ye Sun, Shiyan HuFrequency-Domain Feature Learning Multivariate Time Series Classification
Department of Data and Systems Engineering, University of Hong Kong
Spectral Features Dominate BCG Respiratory-Event Detection: A Large-Scale Patient-Independent Comparison of Feature Groups in Sleep Apnea Patients
Aug 28, 2026Israel Campero Jurado, Zoe Bousraou, Lara Benning +5Feature Selection Wearable Health Monitoring
Department of Engineering and Technology Institute Groningen, Faculty of Science and Engineering, University of Groningen, The Netherlands · Department of Pulmonology, University Hospital Zürich, Switzerland · Sensory-Motor Systems Lab, ETH Zürich, Switzerland
MedFG-VQA: Low-Frequency Memory and Graph Attention for Lightweight Medical VQA
Aug 27, 2026Haowen Gu, Gensheng Pei, Zeren Sun +4Medical VQA Memory-Augmented VLMs
School of Computer Science and Engineering, Nanjing University of Science and Technology · State Key Laboratory of Intelligent Manufacturing of Advanced Construction Machinery · Department of Electrical and Computer Engineering, Sungkyunkwan University +1
Data Diversity, Not Frequency Invariance: A Controlled and Self-Audited Study of Compression-Robust Deepfake Detection
Aug 26, 2026Abbas Aliyev, Samir RustamovDeepfake Detection Frequency-Domain Feature Learning
ADA University, Baku, Azerbaijan · MegaSec AI Company, Baku, Azerbaijan

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Spectral Invariant Fusion and Refinement for Domain Generalized Semantic Segmentation

Yansong Bai, Yunzhi Zhuge, Xinzhuo Yu, Lu Zhang+3

Yansong Bai, Yunzhi Zhuge, Lu Zhang, Pingping Zhang and Huchuan Lu are with the School of Information and Communication Engineering, Dalian University of Technology, Dalian 116081, China. · Xinzhuo Yu and Jin Zhan are with the School of Computer Science and Technology, Dalian University of Technology, Dalian 116081, China.

Domain Generalization for Semantic Segmentation Invariant Representation Learning Frequency-Domain Feature Learning

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Domain generalized semantic segmentation is challenging because it requires accurate dense prediction on unseen domains without any access to target-domain data during training. Existing methods improve transferability through data diversification, invariant learning, or direct use of foundation models, but they often struggle to simultaneously suppress domain-sensitive interference and preserve fine-grained spatial cues. In this work, we propose SIFR, a frequency-aware dual-stream framework that tackles domain shift at both the fusion and decoding stages. SIFR uses spectral modeling as a unified principle to regulate both heterogeneous prior interaction and dense decoder refinement. Instead of directly fusing frozen CLIP and DINOv2 features, SIFR performs spectral-guided invariant fusion to filter out domain-sensitive responses while preserving complementary semantic and structural information. In addition, SIFR incorporates a spectral decoder refinement module that stabilizes multi-scale decoder features through low-frequency statistics-based normalization and adaptive frequency selection, thereby reducing the propagation of residual domain bias in dense prediction. This design enables SIFR to jointly improve domain robustness and segmentation precision under severe distribution shifts. Extensive experiments on multiple DGSS benchmarks, including synthetic-to-real, real-to-real, and adverse-weather settings, demonstrate consistent improvements over previous state-of-the-art methods.