{"total":77,"rows":[{"id":"2405.14458","title":"YOLOv10: Real-Time End-to-End Object Detection","created":"2024-05-23","cited_by_count":515,"area":null},{"id":"2206.01191","title":"EfficientFormer: Vision Transformers at MobileNet Speed","created":"2022-06-02","cited_by_count":241,"area":null},{"id":"2212.03588","title":"ZegCLIP: Towards Adapting CLIP for Zero-shot Semantic Segmentation","created":"2022-12-07","cited_by_count":178,"area":null},{"id":"2304.09854","title":"Transformer-Based Visual Segmentation: A Survey","created":"2023-04-19","cited_by_count":124,"area":null},{"id":"2307.09283","title":"RepViT: Revisiting Mobile CNN From ViT Perspective","created":"2023-07-18","cited_by_count":123,"area":null},{"id":"2212.08059","title":"Rethinking Vision Transformers for MobileNet Size and Speed","created":"2022-12-15","cited_by_count":121,"area":null},{"id":"2208.04464","title":"In the Eye of Transformer: Global-Local Correlation for Egocentric Gaze Estimation","created":"2022-08-08","cited_by_count":51,"area":null},{"id":"2309.11331","title":"Gold-YOLO: Efficient Object Detector via Gather-and-Distribute Mechanism","created":"2023-09-20","cited_by_count":51,"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":"2312.06660","title":"EdgeSAM: Prompt-In-the-Loop Distillation for SAM","created":"2023-12-11","cited_by_count":41,"area":null},{"id":"2211.07091","title":"BiViT: Extremely Compressed Binary Vision Transformer","created":"2022-11-14","cited_by_count":28,"area":null},{"id":"2302.06378","title":"Semantic Image Segmentation: Two Decades of Research","created":"2023-02-13","cited_by_count":27,"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":"2306.02095","title":"Content-aware Token Sharing for Efficient Semantic Segmentation with Vision Transformers","created":"2023-06-03","cited_by_count":22,"area":null},{"id":"2312.17071","title":"SCTNet: Single-Branch CNN with Transformer Semantic Information for Real-Time Segmentation","created":"2023-12-28","cited_by_count":22,"area":null},{"id":"2407.11344","title":"Centering the Value of Every Modality: Towards Efficient and Resilient Modality-agnostic Semantic Segmentation","created":"2024-07-16","cited_by_count":22,"area":null},{"id":"2301.13156","title":"SeaFormer++: Squeeze-enhanced Axial Transformer for Mobile Visual Recognition","created":"2023-01-30","cited_by_count":18,"area":null},{"id":"2404.01692","title":"Beyond Image Super-Resolution for Image Recognition with Task-Driven Perceptual Loss","created":"2024-04-02","cited_by_count":18,"area":null},{"id":"2311.01310","title":"Scattering Vision Transformer: Spectral Mixing Matters","created":"2023-11-02","cited_by_count":17,"area":null},{"id":"2503.23135","title":"LSNet: See Large, Focus Small","created":"2025-03-29","cited_by_count":15,"area":null},{"id":"2308.12372","title":"Vision Transformer Adapters for Generalizable Multitask Learning","created":"2023-08-23","cited_by_count":14,"area":null},{"id":"2407.17261","title":"Embedding-Free Transformer with Inference Spatial Reduction for Efficient Semantic Segmentation","created":"2024-07-24","cited_by_count":14,"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":"2207.08569","title":"Multi-manifold Attention for Vision Transformers","created":"2022-07-18","cited_by_count":12,"area":null},{"id":"2309.14660","title":"CoFiI2P: Coarse-to-Fine Correspondences for Image-to-Point Cloud Registration","created":"2023-09-26","cited_by_count":12,"area":null},{"id":"2408.07576","title":"MetaSeg: MetaFormer-based Global Contexts-aware Network for Efficient Semantic Segmentation","created":"2024-08-14","cited_by_count":12,"area":null},{"id":"2412.16876","title":"MAGIC++: Efficient and Resilient Modality-Agnostic Semantic Segmentation via Hierarchical Modality Selection","created":"2024-12-22","cited_by_count":12,"area":null},{"id":"2306.10364","title":"Residual Spatial Fusion Network for RGB-Thermal Semantic Segmentation","created":"2023-06-17","cited_by_count":10,"area":null},{"id":"2308.06693","title":"Isomer: Isomerous Transformer for Zero-shot Video Object Segmentation","created":"2023-08-13","cited_by_count":10,"area":null},{"id":"2209.07659","title":"Self-Attentive Pooling for Efficient Deep Learning","created":"2022-09-16","cited_by_count":9,"area":null},{"id":"2311.03747","title":"SBCFormer: Lightweight Network Capable of Full-size ImageNet Classification at 1 FPS on Single Board Computers","created":"2023-11-07","cited_by_count":9,"area":null},{"id":"2308.07615","title":"Self-supervised Hypergraphs for Learning Multiple World Interpretations","created":"2023-08-15","cited_by_count":8,"area":null},{"id":"2409.19560","title":"Fast-Convergent and Communication-Alleviated Heterogeneous Hierarchical Federated Learning in Autonomous Driving","created":"2024-09-29","cited_by_count":8,"area":null},{"id":"2504.02647","title":"Adaptive Frequency Enhancement Network for Remote Sensing Image Semantic Segmentation","created":"2025-04-03","cited_by_count":8,"area":null},{"id":"2503.05122","title":"EDM: Efficient Deep Feature Matching","created":"2025-03-07","cited_by_count":7,"area":null},{"id":"2301.13141","title":"Consistency Regularisation in Varying Contexts and Feature Perturbations for Semi-Supervised Semantic Segmentation of Histology Images","created":"2023-01-30","cited_by_count":6,"area":null},{"id":"2302.08374","title":"Efficiency 360: Efficient Vision Transformers","created":"2023-02-16","cited_by_count":6,"area":null},{"id":"2303.17594","title":"MobileInst: Video Instance Segmentation on the Mobile","created":"2023-03-30","cited_by_count":6,"area":null},{"id":"2304.05152","title":"PP-MobileSeg: Explore the Fast and Accurate Semantic Segmentation Model on Mobile Devices","created":"2023-04-11","cited_by_count":6,"area":null},{"id":"2308.11021","title":"Multi-Task Hypergraphs for Semi-supervised Learning using Earth Observations","created":"2023-08-21","cited_by_count":6,"area":null},{"id":"2401.10228","title":"RMP-SAM: Towards Real-Time Multi-Purpose Segment Anything","created":"2024-01-18","cited_by_count":6,"area":null},{"id":"2209.13933","title":"DPNet: Dual-Path Network for Real-time Object Detection with Lightweight Attention","created":"2022-09-28","cited_by_count":5,"area":null},{"id":"2304.11249","title":"eWaSR -- an embedded-compute-ready maritime obstacle detection network","created":"2023-04-21","cited_by_count":5,"area":null},{"id":"2311.12651","title":"Mobile-Seed: Joint Semantic Segmentation and Boundary Detection for Mobile Robots","created":"2023-11-21","cited_by_count":5,"area":null},{"id":"2407.07441","title":"HAFormer: Unleashing the Power of Hierarchy-Aware Features for Lightweight Semantic Segmentation","created":"2024-07-10","cited_by_count":5,"area":null},{"id":"2505.00318","title":"FedEMA: Federated Exponential Moving Averaging with Negative Entropy Regularizer in Autonomous Driving","created":"2025-05-01","cited_by_count":5,"area":null},{"id":"2508.08811","title":"Revisiting Efficient Semantic Segmentation: Learning Offsets for Better Spatial and Class Feature Alignment","created":"2025-08-12","cited_by_count":5,"area":null},{"id":"2309.08365","title":"M$^3$Net: Multilevel, Mixed and Multistage Attention Network for Salient Object Detection","created":"2023-09-15","cited_by_count":4,"area":null},{"id":"2310.01037","title":"SeisT: A foundational deep learning model for earthquake monitoring tasks","created":"2023-10-02","cited_by_count":4,"area":null},{"id":"2405.06525","title":"SSA-Seg: Semantic and Spatial Adaptive Pixel-level Classifier for Semantic Segmentation","created":"2024-05-10","cited_by_count":4,"area":null},{"id":"2406.03702","title":"DSNet: A Novel Way to Use Atrous Convolutions in Semantic Segmentation","created":"2024-06-06","cited_by_count":4,"area":null},{"id":"2504.09666","title":"Uncertainty Guided Refinement for Fine-Grained Salient Object Detection","created":"2025-04-13","cited_by_count":4,"area":null},{"id":"2304.05821","title":"DUFormer: Solving Power Line Detection Task in Aerial Images using Semantic Segmentation","created":"2023-04-12","cited_by_count":3,"area":null},{"id":"2308.05872","title":"Vision Backbone Enhancement via Multi-Stage Cross-Scale Attention","created":"2023-08-10","cited_by_count":3,"area":null},{"id":"2408.05699","title":"MacFormer: Semantic Segmentation with Fine Object Boundaries","created":"2024-08-11","cited_by_count":3,"area":null},{"id":"2303.02835","title":"Traffic Scene Parsing through the TSP6K Dataset","created":"2023-03-06","cited_by_count":2,"area":null},{"id":"2306.05682","title":"Lightweight Monocular Depth Estimation via Token-Sharing Transformer","created":"2023-06-09","cited_by_count":2,"area":null},{"id":"2403.07153","title":"2023 Low-Power Computer Vision Challenge (LPCVC) Summary","created":"2024-03-11","cited_by_count":2,"area":null},{"id":"2503.22237","title":"SCHNet: SAM Marries CLIP for Human Parsing","created":"2025-03-28","cited_by_count":2,"area":null},{"id":"2505.03113","title":"Image Recognition with Online Lightweight Vision Transformer: A Survey","created":"2025-05-06","cited_by_count":2,"area":null},{"id":"2407.07605","title":"Early Explorations of Lightweight Models for Wound Segmentation on Mobile Devices","created":"2024-07-10","cited_by_count":1,"area":null},{"id":"2410.02224","title":"Efficient Semantic Segmentation via Lightweight Multiple-Information Interaction Network","created":"2024-10-03","cited_by_count":1,"area":null},{"id":"2501.19255","title":"ContextFormer: Redefining Efficiency in Semantic Segmentation","created":"2025-01-31","cited_by_count":1,"area":null},{"id":"2504.04279","title":"Could AI Trace and Explain the Origins of AI-Generated Images and Text?","created":"2025-04-05","cited_by_count":1,"area":null},{"id":"2505.23093","title":"LeMoRe: Learn More Details for Lightweight Semantic Segmentation","created":"2025-05-29","cited_by_count":1,"area":null},{"id":"2308.13671","title":"Enhancing Landmark Detection in Cluttered Real-World Scenarios with Vision Transformers","created":"2023-08-25","cited_by_count":0,"area":null},{"id":"2412.02197","title":"Cascaded Multi-Scale Attention for Enhanced Multi-Scale Feature Extraction and Interaction with Low-Resolution Images","created":"2024-12-03","cited_by_count":0,"area":null},{"id":"2510.06669","title":"Automated Neural Architecture Design for Industrial Defect Detection","created":"2025-10-08","cited_by_count":0,"area":null},{"id":"2511.02462","title":"KAO: Kernel-Adaptive Optimization in Diffusion for Satellite Image","created":"2025-11-04","cited_by_count":0,"area":null},{"id":"2512.06676","title":"FedDSR: Federated Deep Supervision and Regularization Towards Autonomous Driving","created":"2025-12-07","cited_by_count":0,"area":null},{"id":"2601.01167","title":"Cross-Layer Attentive Feature Upsampling for Low-latency Semantic Segmentation","created":"2026-01-03","cited_by_count":0,"area":null},{"id":"2604.05431","title":"Cross-Stage Attention Propagation for Efficient Semantic Segmentation","created":"2026-04-07","cited_by_count":0,"area":null},{"id":"2605.08805","title":"LightAVSeg: Lightweight Audio-Visual Segmentation","created":"2026-05-09","cited_by_count":0,"area":null},{"id":"2605.20276","title":"OmniISR: A Unified Framework for Centralized and Federated Learning via Intermediate Supervision and Regularization","created":"2026-05-19","cited_by_count":0,"area":null},{"id":"2606.13587","title":"Towards Effective Waste Segmentation for Automated Waste Recycling in Cluttered Background","created":"2026-06-11","cited_by_count":0,"area":null},{"id":"2608.18979","title":"When Simplicity Wins: Bottleneck-Aware Context Modeling for Lightweight Semantic Segmentation","created":"2026-08-19","cited_by_count":0,"area":null},{"id":"2609.31170","title":"TaskIR: Task-Driven Image Restoration via Degradation Adaptation and Task Feedback","created":"2026-09-25","cited_by_count":0,"area":null}],"next_cursor":null}