{"total":95,"rows":[{"id":"2401.10166","title":"VMamba: Visual State Space Model","created":"2024-01-18","cited_by_count":969,"area":null},{"id":"2211.07636","title":"EVA: Exploring the Limits of Masked Visual Representation Learning at Scale","created":"2022-11-14","cited_by_count":691,"area":null},{"id":"2208.10442","title":"Image as a Foreign Language: BEiT Pretraining for All Vision and Vision-Language Tasks","created":"2022-08-22","cited_by_count":511,"area":null},{"id":"2211.05778","title":"InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions","created":"2022-11-10","cited_by_count":482,"area":null},{"id":"2307.10802","title":"Meta-Transformer: A Unified Framework for Multimodal Learning","created":"2023-07-20","cited_by_count":136,"area":null},{"id":"2210.13452","title":"MetaFormer Baselines for Vision","created":"2022-10-24","cited_by_count":132,"area":null},{"id":"2303.01480","title":"Delivering Arbitrary-Modal Semantic Segmentation","created":"2023-03-02","cited_by_count":117,"area":null},{"id":"2303.16900","title":"InceptionNeXt: When Inception Meets ConvNeXt","created":"2023-03-29","cited_by_count":86,"area":null},{"id":"2211.11943","title":"Conv2Former: A Simple Transformer-Style ConvNet for Visual Recognition","created":"2022-11-22","cited_by_count":81,"area":null},{"id":"2208.02812","title":"P2P: Tuning Pre-trained Image Models for Point Cloud Analysis with Point-to-Pixel Prompting","created":"2022-08-04","cited_by_count":74,"area":null},{"id":"2309.11523","title":"RMT: Retentive Networks Meet Vision Transformers","created":"2023-09-20","cited_by_count":68,"area":null},{"id":"2311.15599","title":"UniRepLKNet: A Universal Perception Large-Kernel ConvNet for Audio, Video, Point Cloud, Time-Series and Image Recognition","created":"2023-11-27","cited_by_count":64,"area":null},{"id":"2211.03295","title":"MogaNet: Multi-order Gated Aggregation Network","created":"2022-11-07","cited_by_count":59,"area":null},{"id":"2403.19967","title":"Rewrite the Stars","created":"2024-03-29","cited_by_count":55,"area":null},{"id":"2306.11249","title":"OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning","created":"2023-06-20","cited_by_count":54,"area":null},{"id":"2307.08579","title":"Scale-Aware Modulation Meet Transformer","created":"2023-07-17","cited_by_count":49,"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":"2403.05369","title":"Frequency-Adaptive Dilated Convolution for Semantic Segmentation","created":"2024-03-08","cited_by_count":34,"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":"2306.00396","title":"Lightweight Vision Transformer with Bidirectional Interaction","created":"2023-06-01","cited_by_count":25,"area":null},{"id":"2502.20087","title":"OverLoCK: An Overview-first-Look-Closely-next ConvNet with Context-Mixing Dynamic Kernels","created":"2025-02-27","cited_by_count":25,"area":null},{"id":"2309.01430","title":"DAT++: Spatially Dynamic Vision Transformer with Deformable Attention","created":"2023-09-04","cited_by_count":21,"area":null},{"id":"2310.19380","title":"TransXNet: Learning Both Global and Local Dynamics with a Dual Dynamic Token Mixer for Visual Recognition","created":"2023-10-30","cited_by_count":21,"area":null},{"id":"2503.18783","title":"Frequency Dynamic Convolution for Dense Image Prediction","created":"2025-03-24","cited_by_count":19,"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":"2503.07499","title":"AthletePose3D: A Benchmark Dataset for 3D Human Pose Estimation and Kinematic Validation in Athletic Movements","created":"2025-03-10","cited_by_count":14,"area":null},{"id":"2304.05659","title":"RIFormer: Keep Your Vision Backbone Effective While Removing Token Mixer","created":"2023-04-12","cited_by_count":13,"area":null},{"id":"2405.18425","title":"ViG: Linear-complexity Visual Sequence Learning with Gated Linear Attention","created":"2024-05-28","cited_by_count":13,"area":null},{"id":"2403.19588","title":"DenseNets Reloaded: Paradigm Shift Beyond ResNets and ViTs","created":"2024-03-28","cited_by_count":12,"area":null},{"id":"2503.01136","title":"Prior-guided Hierarchical Harmonization Network for Efficient Image Dehazing","created":"2025-03-03","cited_by_count":12,"area":null},{"id":"2403.09065","title":"When Semantic Segmentation Meets Frequency Aliasing","created":"2024-03-14","cited_by_count":10,"area":null},{"id":"2507.12006","title":"Frequency-Dynamic Attention Modulation for Dense Prediction","created":"2025-07-16","cited_by_count":10,"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":"2410.08049","title":"Scaling Up Your Kernels: Large Kernel Design in ConvNets towards Universal Representations","created":"2024-10-10","cited_by_count":8,"area":null},{"id":"2506.14271","title":"Leader360V: The Large-scale, Real-world 360 Video Dataset for Multi-task Learning in Diverse Environment","created":"2025-06-17","cited_by_count":8,"area":null},{"id":"2211.05781","title":"Demystify Transformers & Convolutions in Modern Image Deep Networks","created":"2022-11-10","cited_by_count":7,"area":null},{"id":"2504.11286","title":"Lightweight Medical Image Restoration via Integrating Reliable Lesion-Semantic Driven Prior","created":"2025-04-15","cited_by_count":7,"area":null},{"id":"2401.14469","title":"Unveiling the Unseen: Identifiable Clusters in Trained Depthwise Convolutional Kernels","created":"2024-01-25","cited_by_count":6,"area":null},{"id":"2405.13335","title":"Vision Transformer with Sparse Scan Prior","created":"2024-05-22","cited_by_count":6,"area":null},{"id":"2311.17956","title":"QuadraNet: Improving High-Order Neural Interaction Efficiency with Hardware-Aware Quadratic Neural Networks","created":"2023-11-29","cited_by_count":5,"area":null},{"id":"2305.17644","title":"Caterpillar: A Pure-MLP Architecture with Shifted-Pillars-Concatenation","created":"2023-05-28","cited_by_count":4,"area":null},{"id":"2309.01005","title":"RevColV2: Exploring Disentangled Representations in Masked Image Modeling","created":"2023-09-02","cited_by_count":4,"area":null},{"id":"2401.10178","title":"Neural Echos: Depthwise Convolutional Filters Replicate Biological Receptive Fields","created":"2024-01-18","cited_by_count":4,"area":null},{"id":"2401.12736","title":"$ShiftwiseConv:$ Small Convolutional Kernel with Large Kernel Effect","created":"2024-01-23","cited_by_count":4,"area":null},{"id":"2403.19882","title":"Enhancing Efficiency in Vision Transformer Networks: Design Techniques and Insights","created":"2024-03-28","cited_by_count":4,"area":null},{"id":"2404.14674","title":"HOIN: High-Order Implicit Neural Representations","created":"2024-04-23","cited_by_count":3,"area":null},{"id":"2405.03192","title":"QuadraNet V2: Efficient and Sustainable Training of High-Order Neural Networks with Quadratic Adaptation","created":"2024-05-06","cited_by_count":3,"area":null},{"id":"2412.16751","title":"The Master Key Filters Hypothesis: Deep Filters Are General","created":"2024-12-21","cited_by_count":3,"area":null},{"id":"2504.02440","title":"HGFormer: Topology-Aware Vision Transformer with HyperGraph Learning","created":"2025-04-03","cited_by_count":3,"area":null},{"id":"2508.09000","title":"UniConvNet: Expanding Effective Receptive Field while Maintaining Asymptotically Gaussian Distribution for ConvNets of Any Scale","created":"2025-08-12","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":"2304.03812","title":"High-order Spatial Interactions Enhanced Lightweight Model for Optical Remote Sensing Image-based Small Ship Detection","created":"2023-04-07","cited_by_count":2,"area":null},{"id":"2311.06009","title":"Polar-Net: A Clinical-Friendly Model for Alzheimer's Disease Detection in OCTA Images","created":"2023-11-10","cited_by_count":2,"area":null},{"id":"2403.06676","title":"CAM Back Again: Large Kernel CNNs from a Weakly Supervised Object Localization Perspective","created":"2024-03-11","cited_by_count":2,"area":null},{"id":"2405.13972","title":"Infinite-Dimensional Feature Interaction","created":"2024-05-22","cited_by_count":2,"area":null},{"id":"2407.09379","title":"FANet: Feature Amplification Network for Semantic Segmentation in Cluttered Background","created":"2024-07-12","cited_by_count":2,"area":null},{"id":"2501.01023","title":"Hadamard Attention Recurrent Transformer: A Strong Baseline for Stereo Matching Transformer","created":"2025-01-02","cited_by_count":2,"area":null},{"id":"2511.09942","title":"AdaptViG: Adaptive Vision GNN with Exponential Decay Gating","created":"2025-11-13","cited_by_count":2,"area":null},{"id":"2210.15972","title":"Contextual Learning in Fourier Complex Field for VHR Remote Sensing Images","created":"2022-10-28","cited_by_count":1,"area":null},{"id":"2308.03945","title":"The Prospect of Enhancing Large-Scale Heterogeneous Federated Learning with Transformers","created":"2023-08-07","cited_by_count":1,"area":null},{"id":"2311.15625","title":"Only Positive Cases: 5-fold High-order Attention Interaction Model for Skin Segmentation Derived Classification","created":"2023-11-27","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":"2412.11008","title":"Towards Context-aware Convolutional Network for Image Restoration","created":"2024-12-15","cited_by_count":1,"area":null},{"id":"2412.11668","title":"Online Writer Retrieval with Chinese Handwritten Phrases: A Synergistic Temporal-Frequency Representation Learning Approach","created":"2024-12-16","cited_by_count":1,"area":null},{"id":"2505.09803","title":"LatticeVision: Image to Image Networks for Modeling Non-Stationary Spatial Data","created":"2025-05-14","cited_by_count":1,"area":null},{"id":"2509.11711","title":"The Quest for Universal Master Key Filters in DS-CNNs","created":"2025-09-15","cited_by_count":1,"area":null},{"id":"2512.15261","title":"MMMamba: A Versatile Cross-Modal In Context Fusion Framework for Pan-Sharpening and Zero-Shot Image Enhancement","created":"2025-12-17","cited_by_count":1,"area":null},{"id":"2602.04170","title":"Partial Ring Scan: Revisiting Scan Order in Vision State Space Models","created":"2026-02-04","cited_by_count":1,"area":null},{"id":"2211.00733","title":"State-of-the-art Models for Object Detection in Various Fields of Application","created":"2022-11-01","cited_by_count":0,"area":null},{"id":"2301.06962","title":"Long Range Pooling for 3D Large-Scale Scene Understanding","created":"2023-01-17","cited_by_count":0,"area":null},{"id":"2303.05180","title":"Classification in Histopathology: A unique deep embeddings extractor for multiple classification tasks","created":"2023-03-09","cited_by_count":0,"area":null},{"id":"2305.12755","title":"GNCformer Enhanced Self-attention for Automatic Speech Recognition","created":"2023-05-22","cited_by_count":0,"area":null},{"id":"2312.13764","title":"A Semantic Space is Worth 256 Language Descriptions: Make Stronger Segmentation Models with Descriptive Properties","created":"2023-12-21","cited_by_count":0,"area":null},{"id":"2402.16640","title":"DRSI-Net: Dual-Residual Spatial Interaction Network for Multi-Person Pose Estimation","created":"2024-02-26","cited_by_count":0,"area":null},{"id":"2407.20843","title":"DFE-IANet: A Method for Polyp Image Classification Based on Dual-domain Feature Extraction and Interaction Attention","created":"2024-07-30","cited_by_count":0,"area":null},{"id":"2410.07955","title":"Iterative Optimization Annotation Pipeline and ALSS-YOLO-Seg for Efficient Banana Plantation Segmentation in UAV Imagery","created":"2024-10-09","cited_by_count":0,"area":null},{"id":"2410.08454","title":"HorGait: A Hybrid Model for Accurate Gait Recognition in LiDAR Point Cloud Planar Projections","created":"2024-10-11","cited_by_count":0,"area":null},{"id":"2412.17401","title":"Learning Dynamic Local Context Representations for Infrared Small Target Detection","created":"2024-12-23","cited_by_count":0,"area":null},{"id":"2412.19628","title":"RecConv: Efficient Recursive Convolutions for Multi-Frequency Representations","created":"2024-12-27","cited_by_count":0,"area":null},{"id":"2503.03148","title":"Partial Convolution Meets Visual Attention","created":"2025-03-05","cited_by_count":0,"area":null},{"id":"2503.23947","title":"Spectral-Adaptive Modulation Networks for Visual Perception","created":"2025-03-31","cited_by_count":0,"area":null},{"id":"2505.05913","title":"DFEN: Dual Feature Equalization Network for Medical Image Segmentation","created":"2025-05-09","cited_by_count":0,"area":null},{"id":"2505.22226","title":"Expressive yet Efficient Feature Expansion with Adaptive Cross-Hadamard Products","created":"2025-05-28","cited_by_count":0,"area":null},{"id":"2506.12475","title":"Efficient Star Distillation Attention Network for Lightweight Image Super-Resolution","created":"2025-06-14","cited_by_count":0,"area":null},{"id":"2507.04117","title":"Relational inductive biases on attention mechanisms","created":"2025-07-05","cited_by_count":0,"area":null},{"id":"2507.10999","title":"SpaRTAN: Spatial Reinforcement Token-based Aggregation Network for Visual Recognition","created":"2025-07-15","cited_by_count":0,"area":null},{"id":"2511.18691","title":"EVCC: Enhanced Vision Transformer-ConvNeXt-CoAtNet Fusion for Classification","created":"2025-11-24","cited_by_count":0,"area":null},{"id":"2602.20537","title":"PFGNet: A Fully Convolutional Frequency-Guided Peripheral Gating Network for Efficient Spatiotemporal Predictive Learning","created":"2026-02-24","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":"2603.23284","title":"WaveSFNet: A Wavelet-Based Codec and Spatial--Frequency Dual-Domain Gating Network for Spatiotemporal Prediction","created":"2026-03-24","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":"2606.15118","title":"Multi-view feature High-order Fusion for Space Weak Object Detection and Segmentation","created":"2026-06-13","cited_by_count":0,"area":null},{"id":"2607.06949","title":"SpiS-GAN: Spiral-Modulated Handwriting Synthesis with Star Operation","created":"2026-07-08","cited_by_count":0,"area":null}],"next_cursor":null}