Semantic-Aware Feature Re-Fusion

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Period ending 2026-09-07

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  1. Personalized Federated Learning through Global Knowledge Distillation and Local Head Adaptation

    Sep 15, 2026Polycarpo Souza Neto, José Mairton Barros da Silva Júnior, Charles Casimiro CavalcanteHeterogeneous Knowledge DistillationDistributional Learning

  2. Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives

    Aug 11, 2026Songlin Du, Xiaoyong Lu, Zeyu Wu +5Cross-ViewFeature Matching

  3. Label Granularity Skew in Federated Learning with Hierarchical Image Classification

    Aug 10, 2026Jaeheon Kim, Hokeun Kim, Bong Jun ChoiFedavgMultimodal Domain Generalization

  4. Sheaf-Based Federated Representation Learning

    Aug 8, 2026Gabriele D'Acunto, Enrico Grimaldi, Valeria Avino +4Federated Learning FrameworkRepresentation Learning

  5. FUSE: Feature-Wise Unified Specialization with Cross-Column Exchange for Mixed-Type Tabular Flow Matching

    Aug 7, 2026Suman Cha, Seongchan Lee, Dohyun Ko +1Semantic-Aware Feature Re-FusionMixture Models

  6. On the Effectiveness of Adaptation Strategies for VLM-Based Federated Learning in Remote Sensing

    Aug 5, 2026Simon Lösche, Barış Büyüktaş, Mathis Adler +3Federated Fine-TuningVision-Language Model Adaptation

  7. GenPrior: Unleashing Text-to-Motion Generative Priors for Zero-Shot Skeleton-based Action Recognition

    Aug 3, 2026Jidong Kuang, Hongsong Wang, Jie GuiSkeleton-Based Action RecognitionText-To-Motion Generation

  8. CRIP: Channel Level Representation Injection for Personalized One-Shot Federated Learning

    Aug 3, 2026Zijian Jiang, Chaoli Sun, Handing Wang +1One-Shot Federated LearningRobust Federated Learning

  9. Progressive^2: A Teacher-Student Progressive Co-Evolving Knowledge Distillation Method for Substantial Model Compression

    Jul 31, 2026Tiancong Cheng, Ying Zhang, Zhiwen Yu +2Confidence-Gated Closed-Loop Distillation FrameworkModel and Context Compression

  10. What Makes Graph Unified? Principles and Generative Sliding-Window Transformer for Graph Foundation Models

    Jul 30, 2026Dongxiao He, Siqi Liu, Jitao Zhao +3Multimodal Graph Foundation LearningSemantic-Aware Feature Re-Fusion

  11. FedTopo: Relation-Level Topology Sharing for Model-Heterogeneous Federated Learning

    Jul 29, 2026Zhaoyang Ma, Zhihao Wu, Xin Gao +3Federated Learning FrameworkTopological Learning

  12. Mind the Missing Split: Resolving Feature Heterogeneity in Swarm Learning with Random Forests

    Jul 28, 2026Mohammad Tajabadi, Dominik HeiderHeterogeneityRandom Forest

  13. AUCH-Net: Action Unit-Based Consistency-Aware Hypergraph Network for Cross-Domain Few-Shot Facial Expression Recognition

    Jul 23, 2026Xinhan Qiu, Yan Yan, Rui Zhu +2Facial Expression RecognitionOpen-Vocabulary Action Recognition

  14. MAGE-Vein: Multi-Instance Age and Gender Estimation from Finger Vein Images

    Jul 23, 2026Katsuki Tanaka, Koichi Ito, Takafumi Aoki +4Vascular NetworkComputer Vision

  15. From Pixel to Prognosis: Convolutional and GLCM Feature Fusion for Automated Four-Class Cataract Severity Classification

    Jul 20, 2026K. Mithra, Prem Kumar SanthanamSemantic-Aware Feature Re-FusionComputer Vision

  16. DA-MergeLoRA: Hypernetwork-Based LoRA Merging for Few-Shot Test-Time Domain Adaptation

    Jul 20, 2026Siobhan Reid, Zhixiang Chi, Li Gu +3Unsupervised Domain AdaptationDomain Adaptation

  17. AffectFuse: Cross-Task Feature Fusion with Temporal Modeling for Multi-Task Affective Behavior Analysis

    Jul 17, 2026Dipit Saha, Mohammad Raihan Rashid, Shah Mohammad Abdul Mannan +2Affective ComputingSemantic-Aware Feature Re-Fusion

  18. Beyond Single Expert: Harmonizing Diverse Visual Priors in MLLMs for Spatial Understanding

    Jul 16, 2026Xiao Lin, Xiaohu Huang, Kai HanSpatial ReasoningRich Spatial Priors

  19. Task-Specific Feature Fusion Method for Multi-Task Affective Behavior Analysis

    Jul 15, 2026Jiajun Sun, Zhe GaoSemantic-Aware Feature Re-FusionMulti--Task Learning

  20. FedOPAL: One-Shot Federated Learning via Analytic Visual Prompt Tuning

    Jul 9, 2026Lingyu Qiu, Daniela Annunziata, Stefano Izzo +2FedavgFederated Averaging

  21. FedCVESA: Taking Away Training Data in Federated Learning via Correlation Value Encoding and Segmented Aggregation

    Jul 8, 2026Chongkai Li, Bang Zhang, Wenjian LuoSemantic-Aware Feature Re-FusionTraining Data

  22. FedProIn: Mitigating Client Drift for Learnable Prototypes in Federated Medical Imaging

    Jul 5, 2026Harsh Kumar, Tarun Kumar Garg, Vaanathi SundaresanFedavgLearnable Prototypes

  23. Training-free Cross-domain Few-shot Segmentation via Robust Semantic Representation and Matching

    Jun 23, 2026Sujun Sun, Mingwu Ren, Haofeng ZhangFew-Shot SegmentationSemantic-Aware Feature Re-Fusion

  24. Hierarchical Spatial and Channel Aggregation for Cross-domain Few-shot Segmentation

    Jun 23, 2026Sujun Sun, Mingwu Ren, Haofeng ZhangFew-Shot SegmentationSemantic-Aware Feature Re-Fusion

  25. Training-free Task Classification for Multi-Task Model Merging

    Jun 21, 2026Jungyong Son, Jinwook Jung, Sungyong BaikContinual Model MergingMulti--Task Learning

  26. Distribution Alignment for One-Shot Federated Learning via Optimal Transport

    Jun 15, 2026Daniele Berardini, Vito Paolo Pastore, Vittorio MurinoDistributional LearningFew-Shot Learning

  27. Task-Instructed Causal Routing of Vision Foundation Models for Multi-Task Learning

    Jun 14, 2026Donghyun Han, Yuseok Bae, Jung Uk Kim +1Recent Vision Foundation ModelsDense Prediction

  28. A Multi-Domain Feature Fusion Framework for Generalizable Deepfake Detection Across Different Generators

    Jun 12, 2026Amna Amjid, Sana Qadir, Mehwish Fatima +1Deepfake DetectionDigital Forensics

  29. FedSPC: Shared Parameter Correction for Personalized Federated Learning

    Jun 11, 2026Kannanthodath Induchoodan Ajay Menon, Christian Prehofer, Yunfei Xu +1Federated Fine-TuningParameter-Efficient Fine-Tuning Methods

  30. Fed-FBD: Federated Functional Block Diversification for Isolation, Privacy, and Surgical Unlearning

    Jun 10, 2026Weijie Chen, Alan B. McMillanPrivacy-Preserving FrameworkAdversarial Transferability

  31. Context-Aware Feature-Fusion for Co-occurring Object Detection in Autonomous Driving

    Jun 10, 2026Binay Kumar Singh, Niels Da Vitoria LoboGeneral Object DetectionFeature Pyramid Networks

  32. A Unified Adaptive Feature Composition Framework for Multi-Task Generalization in Wireless Foundation Models

    Jun 9, 2026Yuxuan Shi, Tingting Yang, Kangning Ma +4Wireless Foundation ModelsMulti--Task Learning

  33. See More, Match Better: Multi-Source Feature Fusion for Two-View Correspondence Learning

    Jun 8, 2026Xiaojie Li, Xin Jiang, Luanyuan Dai +3Feature MatchingSemantic-Aware Feature Re-Fusion

  34. PRISM: Synergizing Vision Foundation Models via Self-organized Expert Specialization

    Jun 2, 2026Ying Tang, Dong Li, Youjia Zhang +3Vision Foundation ModelsSkewed Expert Demand

  35. Closing the Alignment-Maturity Gap in Federated Prototype Learning

    Jun 1, 2026Mario Casado-Diez, Alejandro Dopico-Castro, Verónica Bolón-Canedo +1Learnable PrototypesDistributional Learning

  36. Image Feature Fusion-based Federated Client Unlearning (FCU)

    May 26, 2026Hangyi Shen, Yizhi Pan, Tiansuo Li +2Machine UnlearningUnlearning Aims

  37. Separate Aggregation of Split Network for Personalized Federated Learning

    May 26, 2026Yunseok Kang, Jaeyoung SongHeterogeneityDistributional Learning

  38. ATV-Net: Adaptive Triple-View Network with Dynamic Feature Fusion

    May 25, 2026Sheng-Wei Chan, Hsin-Jui Pan, Chun-Po Shen +3Real-Time Semantic SegmentationSelf-Supervised Vision Transformers

  39. Hardware-Aware Federated Learning for Speech Emotion Recognition

    May 23, 2026Beyazit Bestami Yuksel, Emrah DikbiyikRobust Federated LearningSpeech Emotion Recognition

  40. Selective, Regularized, and Calibrated: Harnessing Vision Foundation Models for Cross-Domain Few-Shot Semantic Segmentation

    May 19, 2026Junyuan Ma, Xunzhi Xiang, Wenbin Li +2Few-Shot SegmentationRecent Vision Foundation Models

  41. Dynamic Model Merging Made Slim

    May 17, 2026Guodong Du, Wanyu LinContinual Model MergingCold Mixture-Of-Expert Models

  42. Metric-Guided Feature Fusion of Visual Foundation Models for Segmentation Tasks

    May 16, 2026Yachan Guo, JoseLuis Gomez Zurita, Danna Xue +2Recent Vision Foundation ModelsSemantic-Aware Feature Re-Fusion

  43. Federated Imputation under Heterogeneous Feature Spaces

    May 15, 2026Imane Hocine, Chaimaa Medjadji, Sylvain Kubler +2Data ImputationImputation

  44. FedHPro: Federated Hyper-Prototype Learning via Gradient Matching

    May 13, 2026Huan Wang, Jun Shen, Haoran Li +6Learnable PrototypesDistributional Learning

  45. FeatCal: Feature Calibration for Post-Merging Models

    May 13, 2026Yanggan Gu, Shuo Cai, Zihao Wang +7Continual Model MergingSemantic-Aware Feature Re-Fusion

  46. HH-SAE: Discovering and Steering Hierarchical Knowledge of Complex Manifolds

    May 11, 2026Honghan Wu, Tianyan Wang, Jiacong Mi +2Improving Sparse AutoencodersSemantic-Aware Feature Re-Fusion

  47. From Coordinate Matching to Structural Alignment: Rethinking Prototype Alignment in Heterogeneous Federated Learning

    May 7, 2026Xinghao Wu, Jianwei Niu, Guogang Zhu +3Federated Learning FrameworkHeterogeneity

  48. Enabling Federated Inference via Unsupervised Consensus Embedding

    May 7, 2026Yui Hashimoto, Takayuki Nishio, Yuichi Kitagawa +1Robust Federated LearningPrivacy-Preserving Framework

  49. DeFed-GMM-DaDiL: A Decentralized Federated Framework for Domain Adaptation

    May 5, 2026Rebecca Clain, Eduardo Fernandes Montesuma, Fred Ngole MboulaUnsupervised Domain AdaptationDomain Adaptation

  50. Model Merging: Foundations and Algorithms

    May 2, 2026Donato CrisostomiContinual Model MergingModel Merging

  51. Federated Distillation for Whole Slide Image via Gaussian-Mixture Feature Alignment and Curriculum Integration

    May 1, 2026Luru Jing, Cong Cong, Yanyuan Chen +1Whole-Slide Image AnalysisFedavg

  52. Auto-FlexSwitch: Efficient Dynamic Model Merging via Learnable Task Vector Compression

    Apr 30, 2026Junqi Gao, Dazhi Zhang, Zhichang Guo +3Continual Model MergingConvolutional Neural Network Compression

  53. FMCL: Class-Aware Client Clustering with Foundation Model Representations for Heterogeneous Federated Learning

    Apr 30, 2026Mahad Ali, Laura J. BrattainFederated Learning FrameworkClustering

  54. When To Adapt? Adapting the Model or Data in Federated Medical Imaging

    Apr 27, 2026Chamani Shiranthika, Parvaneh SaeediHeterogeneityUnsupervised Domain Adaptation

  55. MambaLiteUNet: Cross-Gated Adaptive Feature Fusion for Robust Skin Lesion Segmentation

    Apr 22, 2026Md Maklachur Rahman, Soon Ki Jung, Tracy HammondLesion SegmentationU-Net

  56. FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion

    Apr 21, 2026Tao Fan, Guoqiang Ma, Yuanfeng Song +3Federated Fine-TuningLarge Language Model Adaptation

  57. Mechanistic Evidence for Preserved-but-Misaligned Representations in Non-IID FedAvg

    Dec 28, 2025Muhammad Haseeb, Salaar Masood, Muhammad Abdullah Sohail +2Federated AveragingRepresentation Learning

  58. Stay Unique, Stay Efficient: Preserving Model Personality in Multi-Task Merging

    Dec 1, 2025Kuangpu Guo, Aijing Yu, Jian Liang +4Continual Model MergingMulti--Task Learning

  59. DWFF-Net: A Multi-Scale Farmland System Habitat Identification Method with Adaptive Dynamic Weight Feature Fusion

    Nov 11, 2025Kesong Zheng, Zhi Song, Peizhou Li +4Semantic-Aware Feature Re-FusionDinov3

  60. Federated Learning for Surgical Vision in Appendicitis Classification: Results of the FedSurg EndoVis 2024 Challenge

    Oct 6, 2025Max Kirchner, Hanna Hoffmann, Alexander C. Jenke +16Surgical VideosFedavg