{"total":81,"rows":[{"id":"2210.13452","title":"MetaFormer Baselines for Vision","created":"2022-10-24","cited_by_count":132,"area":null},{"id":"2212.08059","title":"Rethinking Vision Transformers for MobileNet Size and Speed","created":"2022-12-15","cited_by_count":121,"area":null},{"id":"2210.00077","title":"E-Branchformer: Branchformer with Enhanced merging for speech recognition","created":"2022-09-30","cited_by_count":92,"area":null},{"id":"2308.14036","title":"MB-TaylorFormer: Multi-branch Efficient Transformer Expanded by Taylor Formula for Image Dehazing","created":"2023-08-27","cited_by_count":81,"area":null},{"id":"2309.11523","title":"RMT: Retentive Networks Meet Vision Transformers","created":"2023-09-20","cited_by_count":68,"area":null},{"id":"2403.07392","title":"ViT-CoMer: Vision Transformer with Convolutional Multi-scale Feature Interaction for Dense Predictions","created":"2024-03-12","cited_by_count":66,"area":null},{"id":"2211.03295","title":"MogaNet: Multi-order Gated Aggregation Network","created":"2022-11-07","cited_by_count":59,"area":null},{"id":"2401.16456","title":"SHViT: Single-Head Vision Transformer with Memory Efficient Macro Design","created":"2024-01-29","cited_by_count":56,"area":null},{"id":"2304.06446","title":"SpectFormer: Frequency and Attention is what you need in a Vision Transformer","created":"2023-04-13","cited_by_count":48,"area":null},{"id":"2312.07495","title":"Exploring Plain ViT Reconstruction for Multi-class Unsupervised Anomaly Detection","created":"2023-12-12","cited_by_count":47,"area":null},{"id":"2301.01146","title":"Rethinking Mobile Block for Efficient Attention-based Models","created":"2023-01-03","cited_by_count":36,"area":null},{"id":"2411.07635","title":"Breaking the Low-Rank Dilemma of Linear Attention","created":"2024-11-12","cited_by_count":31,"area":null},{"id":"2303.14123","title":"Semantic Prompt for Few-Shot Image Recognition","created":"2023-03-24","cited_by_count":29,"area":null},{"id":"2403.07347","title":"Frequency Decoupling for Motion Magnification via Multi-Level Isomorphic Architecture","created":"2024-03-12","cited_by_count":28,"area":null},{"id":"2206.09325","title":"EATFormer: Improving Vision Transformer Inspired by Evolutionary Algorithm","created":"2022-06-19","cited_by_count":27,"area":null},{"id":"2306.00396","title":"Lightweight Vision Transformer with Bidirectional Interaction","created":"2023-06-01","cited_by_count":25,"area":null},{"id":"2403.18361","title":"ViTAR: Vision Transformer with Any Resolution","created":"2024-03-27","cited_by_count":25,"area":null},{"id":"2303.04599","title":"Point Cloud Classification Using Content-based Transformer via Clustering in Feature Space","created":"2023-03-08","cited_by_count":19,"area":null},{"id":"2512.01643","title":"ViT$^3$: Unlocking Test-Time Training in Vision","created":"2025-12-01","cited_by_count":18,"area":null},{"id":"2311.01310","title":"Scattering Vision Transformer: Spectral Mixing Matters","created":"2023-11-02","cited_by_count":17,"area":null},{"id":"2507.00698","title":"Rectifying Magnitude Neglect in Linear Attention","created":"2025-07-01","cited_by_count":16,"area":null},{"id":"2308.13998","title":"Computation-efficient Deep Learning for Computer Vision: A Survey","created":"2023-08-27","cited_by_count":14,"area":null},{"id":"2402.02003","title":"GenFace: A Large-Scale Fine-Grained Face Forgery Benchmark and Cross Appearance-Edge Learning","created":"2024-02-03","cited_by_count":12,"area":null},{"id":"2407.11321","title":"TCFormer: Visual Recognition via Token Clustering Transformer","created":"2024-07-16","cited_by_count":12,"area":null},{"id":"2304.10864","title":"FreMIM: Fourier Transform Meets Masked Image Modeling for Medical Image Segmentation","created":"2023-04-21","cited_by_count":11,"area":null},{"id":"2311.15157","title":"Advancing Vision Transformers with Group-Mix Attention","created":"2023-11-26","cited_by_count":11,"area":null},{"id":"2310.10563","title":"RefConv: Re-parameterized Refocusing Convolution for Powerful ConvNets","created":"2023-10-16","cited_by_count":9,"area":null},{"id":"2212.12977","title":"SMMix: Self-Motivated Image Mixing for Vision Transformers","created":"2022-12-26","cited_by_count":8,"area":null},{"id":"2405.16555","title":"Building Vision Models upon Heat Conduction","created":"2024-05-26","cited_by_count":7,"area":null},{"id":"2405.13335","title":"Vision Transformer with Sparse Scan Prior","created":"2024-05-22","cited_by_count":6,"area":null},{"id":"2405.18240","title":"MSPE: Multi-Scale Patch Embedding Prompts Vision Transformers to Any Resolution","created":"2024-05-28","cited_by_count":6,"area":null},{"id":"2409.03460","title":"LowFormer: Hardware Efficient Design for Convolutional Transformer Backbones","created":"2024-09-05","cited_by_count":6,"area":null},{"id":"2501.17888","title":"RadioLLM: Introducing Large Language Model into Cognitive Radio via Hybrid Prompt and Token Reprogrammings","created":"2025-01-28","cited_by_count":6,"area":null},{"id":"2507.01945","title":"LongAnimation: Long Animation Generation with Dynamic Global-Local Memory","created":"2025-07-02","cited_by_count":6,"area":null},{"id":"2303.17803","title":"Rethinking Local Perception in Lightweight Vision Transformer","created":"2023-03-31","cited_by_count":5,"area":null},{"id":"2405.13337","title":"Semantic Equitable Clustering: A Simple and Effective Strategy for Clustering Vision Tokens","created":"2024-05-22","cited_by_count":5,"area":null},{"id":"2308.12001","title":"Local Distortion Aware Efficient Transformer Adaptation for Image Quality Assessment","created":"2023-08-23","cited_by_count":4,"area":null},{"id":"2308.12831","title":"EFormer: Enhanced Transformer towards Semantic-Contour Features of Foreground for Portraits Matting","created":"2023-08-24","cited_by_count":4,"area":null},{"id":"2309.09003","title":"RingMo-lite: A Remote Sensing Multi-task Lightweight Network with CNN-Transformer Hybrid Framework","created":"2023-09-16","cited_by_count":4,"area":null},{"id":"2310.01037","title":"SeisT: A foundational deep learning model for earthquake monitoring tasks","created":"2023-10-02","cited_by_count":4,"area":null},{"id":"2409.07723","title":"Advancing Depth Anything Model for Unsupervised Monocular Depth Estimation in Endoscopy","created":"2024-09-12","cited_by_count":4,"area":null},{"id":"2210.15943","title":"Grafting Vision Transformers","created":"2022-10-28","cited_by_count":3,"area":null},{"id":"2406.04178","title":"Encoding Semantic Priors into the Weights of Implicit Neural Representation","created":"2024-06-06","cited_by_count":3,"area":null},{"id":"2409.01825","title":"AstroMAE: Redshift Prediction Using a Masked Autoencoder with a Novel Fine-Tuning Architecture","created":"2024-09-03","cited_by_count":3,"area":null},{"id":"2504.01792","title":"UniViTAR: Unified Vision Transformer with Native Resolution","created":"2025-04-02","cited_by_count":3,"area":null},{"id":"2604.14724","title":"HAMSA: Scanning-Free Vision State Space Models via SpectralPulseNet","created":"2026-04-16","cited_by_count":3,"area":null},{"id":"2210.08812","title":"ITSRN++: Stronger and Better Implicit Transformer Network for Continuous Screen Content Image Super-Resolution","created":"2022-10-17","cited_by_count":2,"area":null},{"id":"2304.07254","title":"Dynamic Mobile-Former: Strengthening Dynamic Convolution with Attention and Residual Connection in Kernel Space","created":"2023-04-13","cited_by_count":2,"area":null},{"id":"2310.04179","title":"Entropic Score metric: Decoupling Topology and Size in Training-free NAS","created":"2023-10-06","cited_by_count":2,"area":null},{"id":"2406.04249","title":"Conv-INR: Convolutional Implicit Neural Representation for Multimodal Visual Signals","created":"2024-06-06","cited_by_count":2,"area":null},{"id":"2407.17834","title":"Towards the Spectral bias Alleviation by Normalizations in Coordinate Networks","created":"2024-07-25","cited_by_count":2,"area":null},{"id":"2509.23373","title":"Graph Your Own Prompt","created":"2025-09-27","cited_by_count":2,"area":null},{"id":"2211.16289","title":"Lightweight Structure-Aware Attention for Visual Understanding","created":"2022-11-29","cited_by_count":1,"area":null},{"id":"2303.11020","title":"DS-TDNN: Dual-stream Time-delay Neural Network with Global-aware Filter for Speaker Verification","created":"2023-03-20","cited_by_count":1,"area":null},{"id":"2305.14768","title":"Dual Path Transformer with Partition Attention","created":"2023-05-24","cited_by_count":1,"area":null},{"id":"2406.02021","title":"FFNet: MetaMixer-based Efficient Convolutional Mixer Design","created":"2024-06-04","cited_by_count":1,"area":null},{"id":"2411.19297","title":"Enhancing Parameter-Efficient Fine-Tuning of Vision Transformers through Frequency-Based Adaptation","created":"2024-11-28","cited_by_count":1,"area":null},{"id":"2505.01837","title":"CVVNet: A Cross-Vertical-View Network for Gait Recognition","created":"2025-05-03","cited_by_count":1,"area":null},{"id":"2506.15940","title":"Polyline Path Masked Attention for Vision Transformer","created":"2025-06-19","cited_by_count":1,"area":null},{"id":"2606.03160","title":"SRENet: Spectral Re-Entry Network for Point Cloud Action Recognition","created":"2026-06-02","cited_by_count":1,"area":null},{"id":"2207.05055","title":"WeShort: Out-of-distribution Detection With Weak Shortcut structure","created":"2022-06-23","cited_by_count":0,"area":null},{"id":"2301.06681","title":"Cross-domain Self-supervised Framework for Photoacoustic Computed Tomography Image Reconstruction","created":"2023-01-17","cited_by_count":0,"area":null},{"id":"2303.17815","title":"APPT : Asymmetric Parallel Point Transformer for 3D Point Cloud Understanding","created":"2023-03-31","cited_by_count":0,"area":null},{"id":"2401.06224","title":"Leveraging Frequency Domain Learning in 3D Vessel Segmentation","created":"2024-01-11","cited_by_count":0,"area":null},{"id":"2406.06072","title":"Adapting Pretrained ViTs with Convolution Injector for Visuo-Motor Control","created":"2024-06-10","cited_by_count":0,"area":null},{"id":"2407.01636","title":"Learning Dual Transformers for All-In-One Image Restoration from a Frequency Perspective","created":"2024-06-30","cited_by_count":0,"area":null},{"id":"2411.10036","title":"Rethinking Normalization Strategies and Convolutional Kernels for Multimodal Image Fusion","created":"2024-11-15","cited_by_count":0,"area":null},{"id":"2412.07049","title":"Static Key Attention in Vision","created":"2024-12-09","cited_by_count":0,"area":null},{"id":"2504.19643","title":"BARIS: Boundary-Aware Refinement with Environmental Degradation Priors for Robust Underwater Instance Segmentation","created":"2025-04-28","cited_by_count":0,"area":null},{"id":"2507.17089","title":"IONext: Unlocking the Next Era of Inertial Odometry","created":"2025-07-23","cited_by_count":0,"area":null},{"id":"2509.19733","title":"Robust RGB-T Tracking via Learnable Visual Fourier Prompt Fine-tuning and Modality Fusion Prompt Generation","created":"2025-09-24","cited_by_count":0,"area":null},{"id":"2603.00486","title":"Random Wins All: Rethinking Grouping Strategies for Vision Tokens","created":"2026-02-28","cited_by_count":0,"area":null},{"id":"2603.21100","title":"Learning Progressive Adaptation for Multi-Modal Tracking","created":"2026-03-22","cited_by_count":0,"area":null},{"id":"2603.23390","title":"Harnessing Lightweight Transformer with Contextual Synergic Enhancement for Efficient 3D Medical Image Segmentation","created":"2026-03-24","cited_by_count":0,"area":null},{"id":"2603.26551","title":"Beyond MACs: Hardware Efficient Architecture Design for Vision Backbones","created":"2026-03-27","cited_by_count":0,"area":null},{"id":"2604.06783","title":"Insights from Visual Cognition: Understanding Human Action Dynamics with Overall Glance and Refined Gaze Transformer","created":"2026-04-08","cited_by_count":0,"area":null},{"id":"2604.14526","title":"FreqTrack: Frequency Learning based Vision Transformer for RGB-Event Object Tracking","created":"2026-04-16","cited_by_count":0,"area":null},{"id":"2604.18549","title":"Advancing Vision Transformer with Enhanced Spatial Priors","created":"2026-04-20","cited_by_count":0,"area":null},{"id":"2605.29954","title":"SwInception -- Local Attention Meets Convolutions","created":"2026-05-28","cited_by_count":0,"area":null},{"id":"2606.02129","title":"Equilibrated Diffusion: Frequency-aware Textual Embedding for Equilibrated Image Customization","created":"2026-06-01","cited_by_count":0,"area":null},{"id":"2608.05258","title":"Grad-CAM for Vision Transformers: A Systematic Taxonomy and Audit of Methodological Ambiguity in Explainable AI","created":"2026-08-05","cited_by_count":0,"area":null}],"next_cursor":null}