{"total":26,"rows":[{"id":"2101.03697","title":"RepVGG: Making VGG-style ConvNets Great Again","created":"2021-01-11","cited_by_count":522,"area":null},{"id":"2406.02918","title":"U-KAN Makes Strong Backbone for Medical Image Segmentation and Generation","created":"2024-06-05","cited_by_count":179,"area":null},{"id":"2103.13425","title":"Diverse Branch Block: Building a Convolution as an Inception-like Unit","created":"2021-03-24","cited_by_count":87,"area":null},{"id":"2210.09298","title":"What Makes Convolutional Models Great on Long Sequence Modeling?","created":"2022-10-17","cited_by_count":87,"area":null},{"id":"2112.02668","title":"On the Convergence of Shallow Neural Network Training with Randomly Masked Neurons","created":"2021-12-05","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":"2506.02197","title":"NTIRE 2025 Challenge on RAW Image Restoration and Super-Resolution","created":"2025-06-02","cited_by_count":9,"area":null},{"id":"2303.11525","title":"Sparse-IFT: Sparse Iso-FLOP Transformations for Maximizing Training Efficiency","created":"2023-03-21","cited_by_count":8,"area":null},{"id":"2208.08562","title":"Restructurable Activation Networks","created":"2022-08-17","cited_by_count":6,"area":null},{"id":"2204.00826","title":"Online Convolutional Re-parameterization","created":"2022-04-02","cited_by_count":5,"area":null},{"id":"2204.11444","title":"Boosting Pruned Networks with Linear Over-parameterization","created":"2022-04-25","cited_by_count":4,"area":null},{"id":"2409.01604","title":"DAPONet: A Dual Attention and Partially Overparameterized Network for Real-Time Road Damage Detection","created":"2024-09-03","cited_by_count":3,"area":null},{"id":"2304.06345","title":"ASR: Attention-alike Structural Re-parameterization","created":"2023-04-13","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":"2503.00699","title":"Parameter Expanded Stochastic Gradient Markov Chain Monte Carlo","created":"2025-03-02","cited_by_count":2,"area":null},{"id":"2505.03896","title":"Novel Extraction of Discriminative Fine-Grained Feature to Improve Retinal Vessel Segmentation","created":"2025-05-06","cited_by_count":2,"area":null},{"id":"2408.13767","title":"Lecture Notes on Linear Neural Networks: A Tale of Optimization and Generalization in Deep Learning","created":"2024-08-25","cited_by_count":1,"area":null},{"id":"2112.00250","title":"Shallow Network Based on Depthwise Over-Parameterized Convolution for Hyperspectral Image Classification","created":"2021-12-01","cited_by_count":0,"area":null},{"id":"2207.05532","title":"Utilizing Excess Resources in Training Neural Networks","created":"2022-07-12","cited_by_count":0,"area":null},{"id":"2305.18710","title":"High-Performance Inference Graph Convolutional Networks for Skeleton-Based Action Recognition","created":"2023-05-30","cited_by_count":0,"area":null},{"id":"2308.13300","title":"Learning Compact Neural Networks with Deep Overparameterised Multitask Learning","created":"2023-08-25","cited_by_count":0,"area":null},{"id":"2401.01134","title":"Hybrid Pooling and Convolutional Network for Improving Accuracy and Training Convergence Speed in Object Detection","created":"2024-01-02","cited_by_count":0,"area":null},{"id":"2405.01065","title":"MFDS-Net: Multi-Scale Feature Depth-Supervised Network for Remote Sensing Change Detection with Global Semantic and Detail Information","created":"2024-05-02","cited_by_count":0,"area":null},{"id":"2503.14983","title":"Semi-KAN: KAN Provides an Effective Representation for Semi-Supervised Learning in Medical Image Segmentation","created":"2025-03-19","cited_by_count":0,"area":null},{"id":"2510.16730","title":"UKANFormer: Noise-Robust Semantic Segmentation for Coral Reef Mapping via a Kolmogorov-Arnold Network-Transformer Hybrid","created":"2025-10-19","cited_by_count":0,"area":null},{"id":"2512.01657","title":"DB-KAUNet: An Adaptive Dual Branch Kolmogorov-Arnold UNet for Retinal Vessel Segmentation","created":"2025-12-01","cited_by_count":0,"area":null}],"next_cursor":null}