{"total":232,"rows":[{"id":"2303.14389","title":"MDTv2: Masked Diffusion Transformer is a Strong Image Synthesizer","created":"2023-03-25","cited_by_count":262,"area":"lr"},{"id":"2209.08575","title":"SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation","created":"2022-09-18","cited_by_count":252,"area":null},{"id":"2201.09873","title":"Transformers in Medical Imaging: A Survey","created":"2022-01-24","cited_by_count":245,"area":null},{"id":"2202.09741","title":"Visual Attention Network","created":"2022-02-20","cited_by_count":210,"area":null},{"id":"2302.10035","title":"Large-scale Multi-Modal Pre-trained Models: A Comprehensive Survey","created":"2023-02-20","cited_by_count":153,"area":null},{"id":"2307.01694","title":"Spike-driven Transformer","created":"2023-07-04","cited_by_count":146,"area":null},{"id":"2204.02663","title":"Towards An End-to-End Framework for Flow-Guided Video Inpainting","created":"2022-04-06","cited_by_count":113,"area":null},{"id":"2304.06906","title":"Swin3D: A Pretrained Transformer Backbone for 3D Indoor Scene Understanding","created":"2023-04-14","cited_by_count":113,"area":null},{"id":"2209.13929","title":"Attention Spiking Neural Networks","created":"2022-09-28","cited_by_count":107,"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":"2301.06262","title":"Collaborative Perception in Autonomous Driving: Methods, Datasets and Challenges","created":"2023-01-16","cited_by_count":87,"area":null},{"id":"2204.07054","title":"BrainGB: A Benchmark for Brain Network Analysis with Graph Neural Networks","created":"2022-03-17","cited_by_count":75,"area":null},{"id":"2403.05131","title":"Sora as a World Model? A Complete Survey on Text-to-Video Generation","created":"2024-03-08","cited_by_count":53,"area":"wm"},{"id":"2304.06793","title":"Speck: A Smart event-based Vision Sensor with a low latency 327K Neuron Convolutional Neuronal Network Processing Pipeline","created":"2023-04-13","cited_by_count":52,"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":"2305.05813","title":"Change Detection Methods for Remote Sensing in the Last Decade: A Comprehensive Review","created":"2023-05-09","cited_by_count":41,"area":null},{"id":"2204.07756","title":"Visual Attention Methods in Deep Learning: An In-Depth Survey","created":"2022-04-16","cited_by_count":37,"area":null},{"id":"2210.11719","title":"Context-Enhanced Stereo Transformer","created":"2022-10-21","cited_by_count":37,"area":null},{"id":"2205.14354","title":"Multi-Task Learning with Multi-Query Transformer for Dense Prediction","created":"2022-05-28","cited_by_count":34,"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":"2209.10218","title":"HiFuse: Hierarchical Multi-Scale Feature Fusion Network for Medical Image Classification","created":"2022-09-21","cited_by_count":30,"area":null},{"id":"2212.13504","title":"DAE-Former: Dual Attention-guided Efficient Transformer for Medical Image Segmentation","created":"2022-12-27","cited_by_count":27,"area":null},{"id":"2208.04309","title":"3D Vision with Transformers: A Survey","created":"2022-08-08","cited_by_count":21,"area":null},{"id":"2308.14304","title":"Solving Attention Kernel Regression Problem via Pre-conditioner","created":"2023-08-28","cited_by_count":20,"area":null},{"id":"2409.20398","title":"AUCSeg: AUC-oriented Pixel-level Long-tail Semantic Segmentation","created":"2024-09-30","cited_by_count":18,"area":null},{"id":"2408.12128","title":"Diffusion-Based Visual Art Creation: A Survey and New Perspectives","created":"2024-08-22","cited_by_count":17,"area":null},{"id":"2204.12406","title":"A survey on attention mechanisms for medical applications: are we moving towards better algorithms?","created":"2022-04-26","cited_by_count":15,"area":null},{"id":"2208.08236","title":"DPA-1: Pretraining of Attention-based Deep Potential Model for Molecular Simulation","created":"2022-08-17","cited_by_count":15,"area":null},{"id":"2309.07438","title":"Towards Artificial General Intelligence (AGI) in the Internet of Things (IoT): Opportunities and Challenges","created":"2023-09-14","cited_by_count":14,"area":null},{"id":"2408.02222","title":"Cross-modulated Attention Transformer for RGBT Tracking","created":"2024-08-05","cited_by_count":14,"area":null},{"id":"2411.01542","title":"FactorizePhys: Matrix Factorization for Multidimensional Attention in Remote Physiological Sensing","created":"2024-11-03","cited_by_count":14,"area":null},{"id":"2206.02806","title":"Quantum Neural Network Classifiers: A Tutorial","created":"2022-06-06","cited_by_count":13,"area":null},{"id":"2308.08227","title":"Inherent Redundancy in Spiking Neural Networks","created":"2023-08-16","cited_by_count":13,"area":null},{"id":"2310.05026","title":"Low-Resolution Self-Attention for Semantic Segmentation","created":"2023-10-08","cited_by_count":12,"area":null},{"id":"2204.02426","title":"OccamNets: Mitigating Dataset Bias by Favoring Simpler Hypotheses","created":"2022-04-05","cited_by_count":11,"area":null},{"id":"2209.13833","title":"SEMICON: A Learning-to-hash Solution for Large-scale Fine-grained Image Retrieval","created":"2022-09-28","cited_by_count":11,"area":null},{"id":"2310.11198","title":"EEG motor imagery decoding: A framework for comparative analysis with channel attention mechanisms","created":"2023-10-17","cited_by_count":11,"area":null},{"id":"2408.00490","title":"Graph Representation Learning via Causal Diffusion for Out-of-Distribution Recommendation","created":"2024-08-01","cited_by_count":11,"area":null},{"id":"2305.16912","title":"Disambiguated Attention Embedding for Multi-Instance Partial-Label Learning","created":"2023-05-26","cited_by_count":10,"area":null},{"id":"2501.14744","title":"FSTA-SNN:Frequency-based Spatial-Temporal Attention Module for Spiking Neural Networks","created":"2024-12-15","cited_by_count":10,"area":null},{"id":"2305.17937","title":"Attention Mechanisms in Medical Image Segmentation: A Survey","created":"2023-05-29","cited_by_count":9,"area":null},{"id":"2308.09939","title":"Understanding Self-attention Mechanism via Dynamical System Perspective","created":"2023-08-19","cited_by_count":9,"area":null},{"id":"2402.14096","title":"EyeTrans: Merging Human and Machine Attention for Neural Code Summarization","created":"2024-02-21","cited_by_count":9,"area":null},{"id":"2402.18975","title":"Theoretically Achieving Continuous Representation of Oriented Bounding Boxes","created":"2024-02-29","cited_by_count":9,"area":null},{"id":"2205.08780","title":"Visual Attention-based Self-supervised Absolute Depth Estimation using Geometric Priors in Autonomous Driving","created":"2022-05-18","cited_by_count":8,"area":null},{"id":"2302.07406","title":"Conversational AI-Powered Design: ChatGPT as Designer, User, and Product","created":"2023-02-15","cited_by_count":8,"area":null},{"id":"2306.05196","title":"Channel prior convolutional attention for medical image segmentation","created":"2023-06-08","cited_by_count":8,"area":null},{"id":"2207.11225","title":"Large-Kernel Attention for 3D Medical Image Segmentation","created":"2022-07-19","cited_by_count":7,"area":null},{"id":"2211.02915","title":"ESKNet-An enhanced adaptive selection kernel convolution for breast tumors segmentation","created":"2022-11-05","cited_by_count":7,"area":null},{"id":"2304.03542","title":"Better \"CMOS\" Produces Clearer Images: Learning Space-Variant Blur Estimation for Blind Image Super-Resolution","created":"2023-04-07","cited_by_count":7,"area":null},{"id":"2405.02717","title":"AFter: Attention-based Fusion Router for RGBT Tracking","created":"2024-05-04","cited_by_count":7,"area":null},{"id":"2311.13254","title":"Unified Domain Adaptive Semantic Segmentation","created":"2023-11-22","cited_by_count":6,"area":null},{"id":"2312.00207","title":"EpiTESTER: Testing Autonomous Vehicles with Epigenetic Algorithm and Attention Mechanism","created":"2023-11-30","cited_by_count":6,"area":null},{"id":"2312.10930","title":"Deep Learning Approaches for Seizure Video Analysis: A Review","created":"2023-12-18","cited_by_count":6,"area":null},{"id":"2403.16677","title":"FOOL: Addressing the Downlink Bottleneck in Satellite Computing with Neural Feature Compression","created":"2024-03-25","cited_by_count":6,"area":null},{"id":"2407.01548","title":"From Cognition to Computation: A Comparative Review of Human Attention and Transformer Architectures","created":"2024-04-25","cited_by_count":6,"area":null},{"id":"2203.12944","title":"Transformers Meet Visual Learning Understanding: A Comprehensive Review","created":"2022-03-24","cited_by_count":5,"area":null},{"id":"2208.09211","title":"Booster-SHOT: Boosting Stacked Homography Transformations for Multiview Pedestrian Detection with Attention","created":"2022-08-19","cited_by_count":5,"area":null},{"id":"2301.00351","title":"Skew Class-balanced Re-weighting for Unbiased Scene Graph Generation","created":"2023-01-01","cited_by_count":5,"area":null},{"id":"2302.00722","title":"A Survey of Deep Learning: From Activations to Transformers","created":"2023-02-01","cited_by_count":5,"area":null},{"id":"2403.18637","title":"Transformers-based architectures for stroke segmentation: A review","created":"2024-03-27","cited_by_count":5,"area":null},{"id":"2410.02613","title":"NL-Eye: Abductive NLI for Images","created":"2024-10-03","cited_by_count":5,"area":"mllm"},{"id":"2411.01431","title":"Efficient Deep Learning Infrastructures for Embedded Computing Systems: A Comprehensive Survey and Future Envision","created":"2024-11-03","cited_by_count":5,"area":null},{"id":"2505.08438","title":"A Survey of 3D Reconstruction with Event Cameras","created":"2025-05-13","cited_by_count":5,"area":null},{"id":"2209.08171","title":"Deep learning for reconstructing protein structures from cryo-EM density maps: recent advances and future directions","created":"2022-09-16","cited_by_count":4,"area":null},{"id":"2210.06334","title":"A Self-attention Guided Multi-scale Gradient GAN for Diversified X-ray Image Synthesis","created":"2022-10-09","cited_by_count":4,"area":null},{"id":"2211.06816","title":"Long-Range Zero-Shot Generative Deep Network Quantization","created":"2022-11-13","cited_by_count":4,"area":null},{"id":"2303.01917","title":"Pyramid Pixel Context Adaption Network for Medical Image Classification with Supervised Contrastive Learning","created":"2023-03-03","cited_by_count":4,"area":null},{"id":"2306.07186","title":"CD-CTFM: A Lightweight CNN-Transformer Network for Remote Sensing Cloud Detection Fusing Multiscale Features","created":"2023-06-12","cited_by_count":4,"area":null},{"id":"2309.15857","title":"A Survey on Image-text Multimodal Models","created":"2023-09-23","cited_by_count":4,"area":null},{"id":"2310.07626","title":"Learning of Sea Surface Height Interpolation from Multi-variate Simulated Satellite Observations","created":"2023-10-11","cited_by_count":4,"area":null},{"id":"2311.04148","title":"Contactless Fingerprint Biometric Anti-Spoofing: An Unsupervised Deep Learning Approach","created":"2023-11-07","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":"2404.12037","title":"Data-free Knowledge Distillation for Fine-grained Visual Categorization","created":"2024-04-18","cited_by_count":4,"area":"distill"},{"id":"2404.15353","title":"SQUWA: Signal Quality Aware DNN Architecture for Enhanced Accuracy in Atrial Fibrillation Detection from Noisy PPG Signals","created":"2024-04-15","cited_by_count":4,"area":null},{"id":"2406.11641","title":"YOLO-FEDER FusionNet: A Novel Deep Learning Architecture for Drone Detection","created":"2024-06-17","cited_by_count":4,"area":null},{"id":"2407.16313","title":"Deep Learning for Pancreas Segmentation: a Systematic Review","created":"2024-07-23","cited_by_count":4,"area":null},{"id":"2412.00359","title":"Does Self-Attention Need Separate Weights in Transformers?","created":"2024-11-30","cited_by_count":4,"area":null},{"id":"2504.03738","title":"Attention in Diffusion Model: A Survey","created":"2025-04-01","cited_by_count":4,"area":"diffusion"},{"id":"2508.03625","title":"AttZoom: Attention Zoom for Better Visual Features","created":"2025-08-05","cited_by_count":4,"area":null},{"id":"2208.10322","title":"Mix-Pooling Strategy for Attention Mechanism","created":"2022-08-22","cited_by_count":3,"area":null},{"id":"2302.04108","title":"Triplet Loss-less Center Loss Sampling Strategies in Facial Expression Recognition Scenarios","created":"2023-02-08","cited_by_count":3,"area":null},{"id":"2304.00502","title":"CNNs with Multi-Level Attention for Domain Generalization","created":"2023-04-02","cited_by_count":3,"area":null},{"id":"2304.09240","title":"The Metaverse: Survey, Trends, Novel Pipeline Ecosystem & Future Directions","created":"2023-04-18","cited_by_count":3,"area":null},{"id":"2305.04800","title":"Mlinear: Rethink the Linear Model for Time-series Forecasting","created":"2023-05-08","cited_by_count":3,"area":null},{"id":"2305.10449","title":"Cooperation Is All You Need","created":"2023-05-16","cited_by_count":3,"area":null},{"id":"2306.12365","title":"Attention Hybrid Variational Net for Accelerated MRI Reconstruction","created":"2023-06-21","cited_by_count":3,"area":null},{"id":"2406.17792","title":"Applications of interpretable deep learning in neuroimaging: a comprehensive review","created":"2024-05-30","cited_by_count":3,"area":null},{"id":"2406.19148","title":"BackMix: Mitigating Shortcut Learning in Echocardiography with Minimal Supervision","created":"2024-06-27","cited_by_count":3,"area":null},{"id":"2408.00386","title":"What comes after transformers? -- A selective survey connecting ideas in deep learning","created":"2024-08-01","cited_by_count":3,"area":null},{"id":"2410.11259","title":"Rethinking the Role of Infrastructure in Collaborative Perception","created":"2024-10-15","cited_by_count":3,"area":null},{"id":"2506.09735","title":"MPFNet: A Multi-Prior Fusion Network with a Progressive Training Strategy for Micro-Expression Recognition","created":"2025-06-11","cited_by_count":3,"area":null},{"id":"2507.20630","title":"TransPrune: Token Transition Pruning for Efficient Large Vision-Language Model","created":"2025-07-28","cited_by_count":3,"area":"mllm"},{"id":"2508.03724","title":"From Waveforms to Pixels: A Survey on Audio-Visual Segmentation","created":"2025-07-29","cited_by_count":3,"area":null},{"id":"2202.08583","title":"Point cloud completion via structured feature maps using a feedback network","created":"2022-02-17","cited_by_count":2,"area":null},{"id":"2203.13028","title":"Brain inspired neuronal silencing mechanism to enable reliable sequence identification","created":"2022-03-24","cited_by_count":2,"area":null},{"id":"2209.07474","title":"On the Surprising Effectiveness of Transformers in Low-Labeled Video Recognition","created":"2022-09-15","cited_by_count":2,"area":null},{"id":"2303.01363","title":"Deep-NFA: a Deep $\\textit{a contrario}$ Framework for Small Object Detection","created":"2023-03-02","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":"2306.01562","title":"An Attentive-based Generative Model for Medical Image Synthesis","created":"2023-06-02","cited_by_count":2,"area":null}],"next_cursor":"100"}