{"total":77,"rows":[{"id":"2209.08575","title":"SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation","created":"2022-09-18","cited_by_count":252,"area":null},{"id":"2111.07624","title":"Attention Mechanisms in Computer Vision: A Survey","created":"2021-11-15","cited_by_count":232,"area":null},{"id":"2202.09741","title":"Visual Attention Network","created":"2022-02-20","cited_by_count":210,"area":null},{"id":"2110.11945","title":"SOFT: Softmax-free Transformer with Linear Complexity","created":"2021-10-22","cited_by_count":128,"area":null},{"id":"2203.09905","title":"Learning Affordance Grounding from Exocentric Images","created":"2022-03-18","cited_by_count":82,"area":null},{"id":"2111.05177","title":"On Training Implicit Models","created":"2021-11-09","cited_by_count":75,"area":null},{"id":"2204.08442","title":"Deep Equilibrium Optical Flow Estimation","created":"2022-04-18","cited_by_count":64,"area":null},{"id":"2401.08639","title":"One-Step Diffusion Distillation via Deep Equilibrium Models","created":"2023-12-12","cited_by_count":61,"area":"diffusion"},{"id":"2309.09668","title":"DFormer: Rethinking RGBD Representation Learning for Semantic Segmentation","created":"2023-09-18","cited_by_count":60,"area":null},{"id":"2302.04501","title":"MTS-Mixers: Multivariate Time Series Forecasting via Factorized Temporal and Channel Mixing","created":"2023-02-09","cited_by_count":53,"area":null},{"id":"2210.12867","title":"Deep Equilibrium Approaches to Diffusion Models","created":"2022-10-23","cited_by_count":42,"area":"diffusion"},{"id":"2110.14363","title":"VQ-GNN: A Universal Framework to Scale up Graph Neural Networks using Vector Quantization","created":"2021-10-27","cited_by_count":39,"area":null},{"id":"2211.09961","title":"Path Independent Equilibrium Models Can Better Exploit Test-Time Computation","created":"2022-11-18","cited_by_count":38,"area":null},{"id":"2412.11890","title":"SegMAN: Omni-scale Context Modeling with State Space Models and Local Attention for Semantic Segmentation","created":"2024-12-16","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":"2205.08078","title":"Unraveling Attention via Convex Duality: Analysis and Interpretations of Vision Transformers","created":"2022-05-17","cited_by_count":30,"area":null},{"id":"2305.13768","title":"One-step differentiation of iterative algorithms","created":"2023-05-23","cited_by_count":28,"area":null},{"id":"2205.13891","title":"Transformers from an Optimization Perspective","created":"2022-05-27","cited_by_count":27,"area":null},{"id":"2207.06095","title":"Eliminating Gradient Conflict in Reference-based Line-Art Colorization","created":"2022-07-13","cited_by_count":25,"area":null},{"id":"2405.06228","title":"Context-Guided Spatial Feature Reconstruction for Efficient Semantic Segmentation","created":"2024-05-10","cited_by_count":25,"area":null},{"id":"2307.14010","title":"ESSAformer: Efficient Transformer for Hyperspectral Image Super-resolution","created":"2023-07-26","cited_by_count":23,"area":null},{"id":"2208.13196","title":"Grounded Affordance from Exocentric View","created":"2022-08-28","cited_by_count":22,"area":null},{"id":"2210.01802","title":"Alternating Differentiation for Optimization Layers","created":"2022-10-03","cited_by_count":22,"area":null},{"id":"2203.10278","title":"Learning Self-Supervised Low-Rank Network for Single-Stage Weakly and Semi-Supervised Semantic Segmentation","created":"2022-03-19","cited_by_count":21,"area":null},{"id":"2310.18605","title":"TorchDEQ: A Library for Deep Equilibrium Models","created":"2023-10-28","cited_by_count":21,"area":null},{"id":"2605.21488","title":"Equilibrium Reasoners: Learning Attractors Enables Scalable Reasoning","created":"2026-05-20","cited_by_count":18,"area":"lr"},{"id":"2311.11600","title":"Deep Equilibrium Diffusion Restoration with Parallel Sampling","created":"2023-11-20","cited_by_count":17,"area":"diffusion"},{"id":"2304.03560","title":"DualRefine: Self-Supervised Depth and Pose Estimation Through Iterative Epipolar Sampling and Refinement Toward Equilibrium","created":"2023-04-07","cited_by_count":16,"area":null},{"id":"2503.01113","title":"SCSegamba: Lightweight Structure-Aware Vision Mamba for Crack Segmentation in Structures","created":"2025-03-03","cited_by_count":16,"area":"ssm"},{"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":"2111.06592","title":"Implicit vs Unfolded Graph Neural Networks","created":"2021-11-12","cited_by_count":13,"area":null},{"id":"2202.12295","title":"Factorizer: A Scalable Interpretable Approach to Context Modeling for Medical Image Segmentation","created":"2022-02-24","cited_by_count":12,"area":null},{"id":"2211.11052","title":"Convexifying Transformers: Improving optimization and understanding of transformer networks","created":"2022-11-20","cited_by_count":12,"area":null},{"id":"2310.18894","title":"Emergence of Shape Bias in Convolutional Neural Networks through Activation Sparsity","created":"2023-10-29","cited_by_count":11,"area":null},{"id":"2302.01925","title":"Learning a Fourier Transform for Linear Relative Positional Encodings in Transformers","created":"2023-02-03","cited_by_count":10,"area":null},{"id":"2207.03341","title":"Softmax-free Linear Transformers","created":"2022-07-05","cited_by_count":9,"area":null},{"id":"2312.08735","title":"Polyper: Boundary Sensitive Polyp Segmentation","created":"2023-12-14","cited_by_count":8,"area":null},{"id":"2203.09887","title":"CodedVTR: Codebook-based Sparse Voxel Transformer with Geometric Guidance","created":"2022-03-18","cited_by_count":7,"area":null},{"id":"2211.11257","title":"Computational Imaging for Machine Perception: Transferring Semantic Segmentation beyond Aberrations","created":"2022-11-21","cited_by_count":7,"area":null},{"id":"2406.13762","title":"Unveiling the Hidden Structure of Self-Attention via Kernel Principal Component Analysis","created":"2024-06-19","cited_by_count":7,"area":null},{"id":"2410.03020","title":"On Logical Extrapolation for Mazes with Recurrent and Implicit Networks","created":"2024-10-03","cited_by_count":7,"area":null},{"id":"2111.03420","title":"Sampling Equivariant Self-attention Networks for Object Detection in Aerial Images","created":"2021-11-05","cited_by_count":6,"area":null},{"id":"2404.10841","title":"Gasformer: A Transformer-based Architecture for Segmenting Methane Emissions from Livestock in Optical Gas Imaging","created":"2024-04-16","cited_by_count":6,"area":null},{"id":"2408.12815","title":"Staircase Cascaded Fusion of Lightweight Local Pattern Recognition and Long-Range Dependencies for Structural Crack Segmentation","created":"2024-08-23","cited_by_count":6,"area":null},{"id":"2212.02952","title":"Simple Baseline for Weather Forecasting Using Spatiotemporal Context Aggregation Network","created":"2022-12-06","cited_by_count":5,"area":null},{"id":"2212.05599","title":"Orthogonal SVD Covariance Conditioning and Latent Disentanglement","created":"2022-12-11","cited_by_count":5,"area":null},{"id":"2312.08866","title":"MCANet: Medical Image Segmentation with Multi-Scale Cross-Axis Attention","created":"2023-12-14","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":"2203.12893","title":"FAMLP: A Frequency-Aware MLP-Like Architecture For Domain Generalization","created":"2022-03-24","cited_by_count":4,"area":null},{"id":"2207.02119","title":"Improving Covariance Conditioning of the SVD Meta-layer by Orthogonality","created":"2022-07-05","cited_by_count":4,"area":null},{"id":"2410.01440","title":"Closed-Loop Long-Horizon Robotic Planning via Equilibrium Sequence Modeling","created":"2024-10-02","cited_by_count":4,"area":null},{"id":"2407.16244","title":"HSVLT: Hierarchical Scale-Aware Vision-Language Transformer for Multi-Label Image Classification","created":"2024-07-23","cited_by_count":3,"area":null},{"id":"2204.04596","title":"Parameter-Efficient Tuning by Manipulating Hidden States of Pretrained Language Models For Classification Tasks","created":"2022-04-10","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":"2504.06185","title":"WoundAmbit: Bridging State-of-the-Art Semantic Segmentation and Real-World Wound Care","created":"2025-04-08","cited_by_count":2,"area":null},{"id":"2509.16875","title":"Towards Interpretable and Efficient Attention: Compressing All by Contracting a Few","created":"2025-09-21","cited_by_count":2,"area":null},{"id":"2305.14768","title":"Dual Path Transformer with Partition Attention","created":"2023-05-24","cited_by_count":1,"area":null},{"id":"2308.07717","title":"Real-time Automatic M-mode Echocardiography Measurement with Panel Attention from Local-to-Global Pixels","created":"2023-08-15","cited_by_count":1,"area":null},{"id":"2311.12902","title":"Enhancing Solutions for Complex PDEs: Introducing Complementary Convolution and Equivariant Attention in Fourier Neural Operators","created":"2023-11-21","cited_by_count":1,"area":null},{"id":"2408.17347","title":"Language-guided Scale-aware MedSegmentor for Lesion Segmentation in Medical Imaging","created":"2024-08-30","cited_by_count":1,"area":null},{"id":"2411.09101","title":"Heuristical Comparison of Vision Transformers Against Convolutional Neural Networks for Semantic Segmentation on Remote Sensing Imagery","created":"2024-11-14","cited_by_count":1,"area":null},{"id":"2505.15407","title":"Efficient Differentiable Approximation of Generalized Low-rank Regularization","created":"2025-05-21","cited_by_count":1,"area":null},{"id":"2606.28089","title":"RPM-Distill: Physiology-guided Adaptive Cross-modal Distillation for Robust Remote Physiological Measurement","created":"2026-06-26","cited_by_count":1,"area":null},{"id":"2204.04861","title":"SUMD: Super U-shaped Matrix Decomposition Convolutional neural network for Image denoising","created":"2022-04-11","cited_by_count":0,"area":null},{"id":"2406.07191","title":"MeMSVD: Long-Range Temporal Structure Capturing Using Incremental SVD","created":"2024-06-11","cited_by_count":0,"area":null},{"id":"2411.18432","title":"SPO-VCS: An End-to-End Smart Predict-then-Optimize Framework with Alternating Differentiation Method for Relocation Problems in Large-Scale Vehicle Crowd Sensing","created":"2024-11-27","cited_by_count":0,"area":null},{"id":"2503.20398","title":"Including local feature interactions in deep non-negative matrix factorization networks improves performance","created":"2025-03-26","cited_by_count":0,"area":null},{"id":"2505.07013","title":"Efficient and Robust Multidimensional Attention in Remote Physiological Sensing through Target Signal Constrained Factorization","created":"2025-05-11","cited_by_count":0,"area":null},{"id":"2505.07477","title":"You Only Look One Step: Accelerating Backpropagation in Diffusion Sampling with Gradient Shortcuts","created":"2025-05-12","cited_by_count":0,"area":"diffusion"},{"id":"2506.12712","title":"Combining Self-attention and Dilation Convolutional for Semantic Segmentation of Coal Maceral Groups","created":"2025-06-15","cited_by_count":0,"area":null},{"id":"2510.18130","title":"Rethinking PCA Through Duality","created":"2025-10-20","cited_by_count":0,"area":null},{"id":"2603.13044","title":"GP-VM$\\times$SMA: Benchmarking General-Purpose Vision Models and Specialized Architectures for 2D Medical Image Segmentation","created":"2026-03-13","cited_by_count":0,"area":null},{"id":"2605.14926","title":"SCRWKV: Ultra-Compact Structure-Calibrated Vision-RWKV for Topological Crack Segmentation","created":"2026-05-14","cited_by_count":0,"area":null},{"id":"2607.01870","title":"CamoNAS: Neural Architecture Search for Enhanced Camouflaged Object Detection","created":"2026-07-02","cited_by_count":0,"area":null},{"id":"2607.10749","title":"Water Reflection Detection Using Symmetric Attention","created":"2026-07-12","cited_by_count":0,"area":null},{"id":"2610.03626","title":"Depth as Time in One-Step Generative Models","created":"2026-10-02","cited_by_count":0,"area":null},{"id":"2610.07014","title":"DTFormer: Text-Guided Semantic Alignment for RGB-D Segmentation","created":"2026-10-04","cited_by_count":0,"area":null}],"next_cursor":null}