{"total":81,"rows":[{"id":"2405.07992","title":"MambaOut: Do We Really Need Mamba for Vision?","created":"2024-05-13","cited_by_count":143,"area":"ssm"},{"id":"2307.09283","title":"RepViT: Revisiting Mobile CNN From ViT Perspective","created":"2023-07-18","cited_by_count":123,"area":null},{"id":"2303.09030","title":"Large Selective Kernel Network for Remote Sensing Object Detection","created":"2023-03-16","cited_by_count":98,"area":null},{"id":"2303.16900","title":"InceptionNeXt: When Inception Meets ConvNeXt","created":"2023-03-29","cited_by_count":86,"area":null},{"id":"2309.11523","title":"RMT: Retentive Networks Meet Vision Transformers","created":"2023-09-20","cited_by_count":68,"area":null},{"id":"2309.09668","title":"DFormer: Rethinking RGBD Representation Learning for Semantic Segmentation","created":"2023-09-18","cited_by_count":60,"area":null},{"id":"2403.19967","title":"Rewrite the Stars","created":"2024-03-29","cited_by_count":55,"area":null},{"id":"2307.08579","title":"Scale-Aware Modulation Meet Transformer","created":"2023-07-17","cited_by_count":49,"area":null},{"id":"2403.11735","title":"LSKNet: A Foundation Lightweight Backbone for Remote Sensing","created":"2024-03-18","cited_by_count":44,"area":null},{"id":"2308.05480","title":"YOLO-MS: Rethinking Multi-Scale Representation Learning for Real-time Object Detection","created":"2023-08-10","cited_by_count":33,"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":"2504.04701","title":"DFormerv2: Geometry Self-Attention for RGBD Semantic Segmentation","created":"2025-04-07","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":"2402.02242","title":"Parameter-Efficient Fine-Tuning for Pre-Trained Vision Models: A Survey and Benchmark","created":"2024-02-03","cited_by_count":23,"area":null},{"id":"2402.03412","title":"See More Details: Efficient Image Super-Resolution by Experts Mining","created":"2024-02-05","cited_by_count":23,"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":"2504.05794","title":"DefMamba: Deformable Visual State Space Model","created":"2025-04-08","cited_by_count":18,"area":"ssm"},{"id":"2303.16565","title":"PMAA: A Progressive Multi-scale Attention Autoencoder Model for High-performance Cloud Removal from Multi-temporal Satellite Imagery","created":"2023-03-29","cited_by_count":16,"area":null},{"id":"2403.19963","title":"Efficient Modulation for Vision Networks","created":"2024-03-29","cited_by_count":16,"area":null},{"id":"2503.23135","title":"LSNet: See Large, Focus Small","created":"2025-03-29","cited_by_count":15,"area":null},{"id":"2308.10481","title":"ADNet: Lane Shape Prediction via Anchor Decomposition","created":"2023-08-21","cited_by_count":14,"area":null},{"id":"2409.09649","title":"SparX: A Sparse Cross-Layer Connection Mechanism for Hierarchical Vision Mamba and Transformer Networks","created":"2024-09-15","cited_by_count":14,"area":"ssm"},{"id":"2501.03775","title":"Strip R-CNN: Large Strip Convolution for Remote Sensing Object Detection","created":"2025-01-07","cited_by_count":14,"area":null},{"id":"2401.05633","title":"Transforming Image Super-Resolution: A ConvFormer-based Efficient Approach","created":"2024-01-11","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":"2310.20332","title":"Recaptured Raw Screen Image and Video Demoir\\'eing via Channel and Spatial Modulations","created":"2023-10-31","cited_by_count":12,"area":null},{"id":"2405.15475","title":"Efficient Degradation-aware Any Image Restoration","created":"2024-05-24","cited_by_count":11,"area":null},{"id":"2505.00941","title":"FreCT: Frequency-augmented Convolutional Transformer for Robust Time Series Anomaly Detection","created":"2025-05-02","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":"2403.05810","title":"Recurrent Aligned Network for Generalized Pedestrian Trajectory Prediction","created":"2024-03-09","cited_by_count":9,"area":null},{"id":"2501.15369","title":"iFormer: Integrating ConvNet and Transformer for Mobile Application","created":"2025-01-26","cited_by_count":9,"area":null},{"id":"2405.13335","title":"Vision Transformer with Sparse Scan Prior","created":"2024-05-22","cited_by_count":6,"area":null},{"id":"2407.11306","title":"PADRe: A Unifying Polynomial Attention Drop-in Replacement for Efficient Vision Transformer","created":"2024-07-16","cited_by_count":5,"area":null},{"id":"2502.09928","title":"Deep Tree Tensor Networks","created":"2025-02-14","cited_by_count":5,"area":null},{"id":"2509.15096","title":"OmniSegmentor: A Flexible Multi-Modal Learning Framework for Semantic Segmentation","created":"2025-09-18","cited_by_count":5,"area":null},{"id":"2410.08582","title":"DeBiFormer: Vision Transformer with Deformable Agent Bi-level Routing Attention","created":"2024-10-11","cited_by_count":4,"area":null},{"id":"2411.16316","title":"Monocular Lane Detection Based on Deep Learning: A Survey","created":"2024-11-25","cited_by_count":4,"area":null},{"id":"2411.15787","title":"Multi-Token Enhancing for Vision Representation Learning","created":"2024-11-24","cited_by_count":3,"area":null},{"id":"2502.03649","title":"All-in-One Image Compression and Restoration","created":"2025-02-05","cited_by_count":3,"area":null},{"id":"2505.22195","title":"S2AFormer: Strip Self-Attention for Efficient Vision Transformer","created":"2025-05-28","cited_by_count":3,"area":null},{"id":"2509.12817","title":"SAGA: Selective Adaptive Gating for Efficient and Expressive Linear Attention","created":"2025-09-16","cited_by_count":3,"area":null},{"id":"2511.10953","title":"Language-Guided Graph Representation Learning for Video Summarization","created":"2025-11-14","cited_by_count":3,"area":null},{"id":"2301.10208","title":"A Simple Adaptive Unfolding Network for Hyperspectral Image Reconstruction","created":"2023-01-24","cited_by_count":2,"area":null},{"id":"2303.02835","title":"Traffic Scene Parsing through the TSP6K Dataset","created":"2023-03-06","cited_by_count":2,"area":null},{"id":"2304.02860","title":"Towards an Effective and Efficient Transformer for Rain-by-snow Weather Removal","created":"2023-04-06","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":"2407.13920","title":"DuoFormer: Leveraging Hierarchical Visual Representations by Local and Global Attention","created":"2024-07-18","cited_by_count":2,"area":null},{"id":"2505.19938","title":"Multi-Timescale Motion-Decoupled Spiking Transformer for Audio-Visual Zero-Shot Learning","created":"2025-05-26","cited_by_count":2,"area":null},{"id":"2506.13678","title":"A Gravity-informed Spatiotemporal Transformer for Human Activity Intensity Prediction","created":"2025-06-16","cited_by_count":2,"area":null},{"id":"2506.17963","title":"OmniESI: A unified framework for enzyme-substrate interaction prediction with progressive conditional deep learning","created":"2025-06-22","cited_by_count":2,"area":null},{"id":"2506.21137","title":"Norm$\\times$Direction: Restoring the Missing Query Norm in Vision Linear Attention","created":"2025-06-26","cited_by_count":2,"area":null},{"id":"2305.09746","title":"A Range-Null Space Decomposition Approach for Fast and Flexible Spectral Compressive Imaging","created":"2023-05-16","cited_by_count":1,"area":null},{"id":"2310.06629","title":"EViT: An Eagle Vision Transformer with Bi-Fovea Self-Attention","created":"2023-10-10","cited_by_count":1,"area":null},{"id":"2407.07503","title":"Inter and Intra Prior Learning-based Hyperspectral Image Reconstruction Using Snapshot SWIR Metasurface","created":"2024-07-10","cited_by_count":1,"area":null},{"id":"2407.12217","title":"AFIDAF: Alternating Fourier and Image Domain Adaptive Filters as an Efficient Alternative to Attention in ViTs","created":"2024-07-16","cited_by_count":1,"area":null},{"id":"2410.24139","title":"COSNet: A Novel Semantic Segmentation Network using Enhanced Boundaries in Cluttered Scenes","created":"2024-10-31","cited_by_count":1,"area":null},{"id":"2507.16624","title":"A2Mamba: Attention-augmented State Space Models for Visual Recognition","created":"2025-07-22","cited_by_count":1,"area":"ssm"},{"id":"2508.09525","title":"Learning Spatial Decay for Vision Transformers","created":"2025-08-13","cited_by_count":1,"area":null},{"id":"2308.02263","title":"Efficient Monaural Speech Enhancement using Spectrum Attention Fusion","created":"2023-08-04","cited_by_count":0,"area":null},{"id":"2309.00314","title":"ARFA: An Asymmetric Receptive Field Autoencoder Model for Spatiotemporal Prediction","created":"2023-09-01","cited_by_count":0,"area":null},{"id":"2310.12076","title":"Towards Exploring Fairness in Visual Transformer based Natural and GAN Image Detection Systems","created":"2023-10-18","cited_by_count":0,"area":null},{"id":"2403.06536","title":"Multi-Scale Implicit Transformer with Re-parameterize for Arbitrary-Scale Super-Resolution","created":"2024-03-11","cited_by_count":0,"area":null},{"id":"2409.06963","title":"Brain-Inspired Stepwise Patch Merging for Vision Transformers","created":"2024-09-11","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":"2502.14332","title":"A Collaborative Jade Recognition System for Mobile Devices Based on Lightweight and Large Models","created":"2025-02-20","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":"2503.18405","title":"Offline Meteorology-Pollution Coupling Global Air Pollution Forecasting Model with Bilinear Pooling","created":"2025-03-24","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":"2506.04499","title":"FALO: Fast and Accurate LiDAR 3D Object Detection on Resource-Constrained Devices","created":"2025-06-04","cited_by_count":0,"area":null},{"id":"2506.04561","title":"LGM-Pose: A Lightweight Global Modeling Network for Real-time Human Pose Estimation","created":"2025-06-05","cited_by_count":0,"area":null},{"id":"2506.12982","title":"DuoFormer: Leveraging Hierarchical Representations by Local and Global Attention Vision Transformer","created":"2025-06-15","cited_by_count":0,"area":null},{"id":"2507.10977","title":"Conceptualizing Multi-scale Wavelet Attention and Ray-based Encoding for Human-Object Interaction Detection","created":"2025-07-15","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":"2508.04267","title":"Revisiting Continual Semantic Segmentation with Pre-trained Vision Models","created":"2025-08-06","cited_by_count":0,"area":null},{"id":"2511.07116","title":"BridgeVoC: Revitalizing Neural Vocoder from a Restoration Perspective","created":"2025-11-10","cited_by_count":0,"area":"diffusion"},{"id":"2511.13013","title":"You Only Look Omni Gradient Backpropagation for Moving Infrared Small Target Detection","created":"2025-11-17","cited_by_count":0,"area":null},{"id":"2602.04346","title":"MirrorLA: Reflecting Feature Map for Vision Linear Attention","created":"2026-02-04","cited_by_count":0,"area":null},{"id":"2602.11477","title":"SLD-L2S: Hierarchical Subspace Latent Diffusion for High-Fidelity Lip to Speech Synthesis","created":"2026-02-12","cited_by_count":0,"area":"diffusion"},{"id":"2604.18549","title":"Advancing Vision Transformer with Enhanced Spatial Priors","created":"2026-04-20","cited_by_count":0,"area":null},{"id":"2607.23994","title":"Effective Receptive Field Ordering Matters for Infrared Small Target Detection","created":"2026-07-27","cited_by_count":0,"area":null}],"next_cursor":null}