{"total":124,"rows":[{"id":"2112.00390","title":"SegDiff: Image Segmentation with Diffusion Probabilistic Models","created":"2021-12-01","cited_by_count":280,"area":"diffusion"},{"id":"2212.03588","title":"ZegCLIP: Towards Adapting CLIP for Zero-shot Semantic Segmentation","created":"2022-12-07","cited_by_count":178,"area":null},{"id":"2203.03041","title":"Highly Accurate Dichotomous Image Segmentation","created":"2022-03-06","cited_by_count":110,"area":null},{"id":"2106.03149","title":"Large-scale Unsupervised Semantic Segmentation","created":"2021-06-06","cited_by_count":101,"area":null},{"id":"2206.02066","title":"PIDNet: A Real-time Semantic Segmentation Network Inspired by PID Controllers","created":"2022-06-04","cited_by_count":84,"area":null},{"id":"2403.06090","title":"What Matters When Repurposing Diffusion Models for General Dense Perception Tasks?","created":"2024-03-10","cited_by_count":74,"area":"diffusion"},{"id":"2408.04579","title":"SAM2-Adapter: Evaluating & Adapting Segment Anything 2 in Downstream Tasks: Camouflage, Shadow, Medical Image Segmentation, and More","created":"2024-08-08","cited_by_count":60,"area":null},{"id":"2304.09148","title":"SAM Fails to Segment Anything? -- SAM-Adapter: Adapting SAM in Underperformed Scenes: Camouflage, Shadow, Medical Image Segmentation, and More","created":"2023-04-18","cited_by_count":53,"area":null},{"id":"2304.05015","title":"Continual Semantic Segmentation with Automatic Memory Sample Selection","created":"2023-04-11","cited_by_count":39,"area":null},{"id":"2402.19422","title":"PEM: Prototype-based Efficient MaskFormer for Image Segmentation","created":"2024-02-29","cited_by_count":36,"area":null},{"id":"2108.07511","title":"LIF-Seg: LiDAR and Camera Image Fusion for 3D LiDAR Semantic Segmentation","created":"2021-08-17","cited_by_count":34,"area":null},{"id":"2403.05369","title":"Frequency-Adaptive Dilated Convolution for Semantic Segmentation","created":"2024-03-08","cited_by_count":34,"area":null},{"id":"2204.02681","title":"PP-LiteSeg: A Superior Real-Time Semantic Segmentation Model","created":"2022-04-06","cited_by_count":33,"area":null},{"id":"2210.07124","title":"RTFormer: Efficient Design for Real-Time Semantic Segmentation with Transformer","created":"2022-10-13","cited_by_count":31,"area":null},{"id":"2211.08615","title":"GLFF: Global and Local Feature Fusion for AI-synthesized Image Detection","created":"2022-11-16","cited_by_count":25,"area":"diffusion"},{"id":"2212.12053","title":"On Calibrating Semantic Segmentation Models: Analyses and An Algorithm","created":"2022-12-22","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":"2303.12782","title":"Tube-Link: A Flexible Cross Tube Framework for Universal Video Segmentation","created":"2023-03-22","cited_by_count":23,"area":null},{"id":"2111.15637","title":"Building extraction with vision transformer","created":"2021-11-29","cited_by_count":22,"area":null},{"id":"2305.10899","title":"Ultra-High Resolution Segmentation with Ultra-Rich Context: A Novel Benchmark","created":"2023-05-18","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":"2306.03437","title":"DFormer: Diffusion-guided Transformer for Universal Image Segmentation","created":"2023-06-06","cited_by_count":19,"area":null},{"id":"2308.09618","title":"LaRS: A Diverse Panoptic Maritime Obstacle Detection Dataset and Benchmark","created":"2023-08-18","cited_by_count":19,"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":"2202.13393","title":"TransKD: Transformer Knowledge Distillation for Efficient Semantic Segmentation","created":"2022-02-27","cited_by_count":17,"area":"distill"},{"id":"2203.08881","title":"Hyperbolic Uncertainty Aware Semantic Segmentation","created":"2022-03-16","cited_by_count":17,"area":null},{"id":"2307.14052","title":"Unite-Divide-Unite: Joint Boosting Trunk and Structure for High-accuracy Dichotomous Image Segmentation","created":"2023-07-26","cited_by_count":17,"area":null},{"id":"2205.03650","title":"Distilling Inter-Class Distance for Semantic Segmentation","created":"2022-05-07","cited_by_count":16,"area":"distill"},{"id":"2303.09310","title":"GLH-Water: A Large-Scale Dataset for Global Surface Water Detection in Large-Size Very-High-Resolution Satellite Imagery","created":"2023-03-16","cited_by_count":16,"area":null},{"id":"2307.00711","title":"Guided Patch-Grouping Wavelet Transformer with Spatial Congruence for Ultra-High Resolution Segmentation","created":"2023-07-03","cited_by_count":16,"area":null},{"id":"2306.08075","title":"BPKD: Boundary Privileged Knowledge Distillation For Semantic Segmentation","created":"2023-06-13","cited_by_count":15,"area":"distill"},{"id":"2308.13998","title":"Computation-efficient Deep Learning for Computer Vision: A Survey","created":"2023-08-27","cited_by_count":14,"area":null},{"id":"2307.07757","title":"Open Scene Understanding: Grounded Situation Recognition Meets Segment Anything for Helping People with Visual Impairments","created":"2023-07-15","cited_by_count":13,"area":null},{"id":"2302.10484","title":"Lightweight Real-time Semantic Segmentation Network with Efficient Transformer and CNN","created":"2023-02-21","cited_by_count":12,"area":null},{"id":"2403.03063","title":"CrackNex: a Few-shot Low-light Crack Segmentation Model Based on Retinex Theory for UAV Inspections","created":"2024-03-05","cited_by_count":12,"area":null},{"id":"2111.09957","title":"Rethinking Dilated Convolution for Real-time Semantic Segmentation","created":"2021-11-18","cited_by_count":11,"area":null},{"id":"2207.04415","title":"SFNet: Faster and Accurate Semantic Segmentation via Semantic Flow","created":"2022-07-10","cited_by_count":10,"area":null},{"id":"2209.06918","title":"NanoFlowNet: Real-time Dense Optical Flow on a Nano Quadcopter","created":"2022-09-14","cited_by_count":10,"area":null},{"id":"2211.15595","title":"FsaNet: Frequency Self-attention for Semantic Segmentation","created":"2022-11-28","cited_by_count":10,"area":null},{"id":"2307.00270","title":"Real-time High-Resolution Neural Network with Semantic Guidance for Crack Segmentation","created":"2023-07-01","cited_by_count":10,"area":null},{"id":"2503.08043","title":"Structural and Statistical Texture Knowledge Distillation and Learning for Segmentation","created":"2025-03-11","cited_by_count":9,"area":"distill"},{"id":"2303.07224","title":"Efficient Semantic Segmentation by Altering Resolutions for Compressed Videos","created":"2023-03-13","cited_by_count":8,"area":null},{"id":"2206.08605","title":"On Efficient Real-Time Semantic Segmentation: A Survey","created":"2022-06-17","cited_by_count":7,"area":null},{"id":"2311.14762","title":"The 2nd Workshop on Maritime Computer Vision (MaCVi) 2024","created":"2023-11-23","cited_by_count":7,"area":null},{"id":"2411.19274","title":"On-chip Hyperspectral Image Segmentation with Fully Convolutional Networks for Scene Understanding in Autonomous Driving","created":"2024-11-28","cited_by_count":6,"area":null},{"id":"2208.06820","title":"Surrogate-assisted Multi-objective Neural Architecture Search for Real-time Semantic Segmentation","created":"2022-08-14","cited_by_count":5,"area":null},{"id":"2309.08953","title":"Robust Backdoor Attacks on Object Detection in Real World","created":"2023-09-16","cited_by_count":5,"area":null},{"id":"2407.13254","title":"Make a Strong Teacher with Label Assistance: A Novel Knowledge Distillation Approach for Semantic Segmentation","created":"2024-07-18","cited_by_count":5,"area":"distill"},{"id":"2408.09839","title":"Segment-Anything Models Achieve Zero-shot Robustness in Autonomous Driving","created":"2024-08-19","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":"2601.03490","title":"CroBIM-U: Uncertainty-Driven Referring Remote Sensing Image Segmentation","created":"2026-01-07","cited_by_count":5,"area":null},{"id":"2207.06242","title":"SlimSeg: Slimmable Semantic Segmentation with Boundary Supervision","created":"2022-07-13","cited_by_count":4,"area":null},{"id":"2207.13600","title":"Lightweight and Progressively-Scalable Networks for Semantic Segmentation","created":"2022-07-27","cited_by_count":4,"area":null},{"id":"2212.13764","title":"Representation Separation for Semantic Segmentation with Vision Transformers","created":"2022-12-28","cited_by_count":4,"area":null},{"id":"2309.06047","title":"Real-Time Semantic Segmentation: A Brief Survey & Comparative Study in Remote Sensing","created":"2023-09-12","cited_by_count":4,"area":null},{"id":"2403.02689","title":"Deep Common Feature Mining for Efficient Video Semantic Segmentation","created":"2024-03-05","cited_by_count":4,"area":null},{"id":"2404.18033","title":"Exposing Text-Image Inconsistency Using Diffusion Models","created":"2024-04-28","cited_by_count":4,"area":"diffusion"},{"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":"2503.03325","title":"Golden Cudgel Network for Real-Time Semantic Segmentation","created":"2025-03-05","cited_by_count":4,"area":null},{"id":"2506.07847","title":"F2Net: A Frequency-Fused Network for Ultra-High Resolution Remote Sensing Segmentation","created":"2025-06-09","cited_by_count":4,"area":null},{"id":"2212.01173","title":"DWRSeg: Rethinking Efficient Acquisition of Multi-scale Contextual Information for Real-time Semantic Segmentation","created":"2022-12-02","cited_by_count":3,"area":null},{"id":"2310.04721","title":"Memory-Constrained Semantic Segmentation for Ultra-High Resolution UAV Imagery","created":"2023-10-07","cited_by_count":3,"area":null},{"id":"2604.06576","title":"LiftFormer: Lifting and Frame Theory Based Monocular Depth Estimation Using Depth and Edge Oriented Subspace Representation","created":"2026-04-08","cited_by_count":3,"area":null},{"id":"2206.07298","title":"S$^2$-FPN: Scale-ware Strip Attention Guided Feature Pyramid Network for Real-time Semantic Segmentation","created":"2022-06-15","cited_by_count":2,"area":null},{"id":"2303.04315","title":"A Threefold Review on Deep Semantic Segmentation: Efficiency-oriented, Temporal and Depth-aware design","created":"2023-03-08","cited_by_count":2,"area":null},{"id":"2304.09427","title":"Boosting Semantic Segmentation with Semantic Boundaries","created":"2023-04-19","cited_by_count":2,"area":null},{"id":"2306.02306","title":"Cross-CBAM: A Lightweight network for Scene Segmentation","created":"2023-06-04","cited_by_count":2,"area":null},{"id":"2306.05912","title":"Single-Image-Based Deep Learning for Segmentation of Early Esophageal Cancer Lesions","created":"2023-06-09","cited_by_count":2,"area":null},{"id":"2310.08826","title":"Revisiting Multi-modal 3D Semantic Segmentation in Real-world Autonomous Driving","created":"2023-10-13","cited_by_count":2,"area":null},{"id":"2312.03119","title":"AI-SAM: Automatic and Interactive Segment Anything Model","created":"2023-12-05","cited_by_count":2,"area":null},{"id":"2404.04155","title":"MarsSeg: Mars Surface Semantic Segmentation with Multi-level Extractor and Connector","created":"2024-04-05","cited_by_count":2,"area":null},{"id":"2404.09570","title":"The revenge of BiSeNet: Efficient Multi-Task Image Segmentation","created":"2024-04-15","cited_by_count":2,"area":null},{"id":"2503.18364","title":"MaSS13K: A Matting-level Semantic Segmentation Benchmark","created":"2025-03-24","cited_by_count":2,"area":null},{"id":"2504.18906","title":"Sim-to-Real: An Unsupervised Noise Layer for Screen-Camera Watermarking Robustness","created":"2025-04-26","cited_by_count":2,"area":null},{"id":"2507.17957","title":"AFRDA: Attentive Feature Refinement for Domain Adaptive Semantic Segmentation","created":"2025-07-23","cited_by_count":2,"area":null},{"id":"2509.06693","title":"STAGE: Segmentation-oriented Industrial Anomaly Synthesis via Graded Diffusion with Explicit Mask Alignment","created":"2025-09-08","cited_by_count":2,"area":null},{"id":"2108.04349","title":"AASeg: Attention Aware Network for Real Time Semantic Segmentation","created":"2021-07-27","cited_by_count":1,"area":null},{"id":"2110.07859","title":"Receptive Field Broadening and Boosting for Salient Object Detection","created":"2021-10-15","cited_by_count":1,"area":null},{"id":"2207.05807","title":"Dam reservoir extraction from remote sensing imagery using tailored metric learning strategies","created":"2022-07-12","cited_by_count":1,"area":null},{"id":"2207.13866","title":"MKANet: A Lightweight Network with Sobel Boundary Loss for Efficient Land-cover Classification of Satellite Remote Sensing Imagery","created":"2022-07-28","cited_by_count":1,"area":null},{"id":"2210.05152","title":"TriangleNet: Edge Prior Augmented Network for Semantic Segmentation through Cross-Task Consistency","created":"2022-10-11","cited_by_count":1,"area":null},{"id":"2211.11316","title":"EHSNet: End-to-End Holistic Learning Network for Large-Size Remote Sensing Image Semantic Segmentation","created":"2022-11-21","cited_by_count":1,"area":null},{"id":"2303.04413","title":"PL-UNeXt: Per-stage Edge Detail and Line Feature Guided Segmentation for Power Line Detection","created":"2023-03-08","cited_by_count":1,"area":null},{"id":"2303.10307","title":"Edge-aware Plug-and-play Scheme for Semantic Segmentation","created":"2023-03-18","cited_by_count":1,"area":null},{"id":"2308.02126","title":"Cognitive TransFuser: Semantics-guided Transformer-based Sensor Fusion for Improved Waypoint Prediction","created":"2023-08-04","cited_by_count":1,"area":null},{"id":"2310.20305","title":"Bilateral Network with Residual U-blocks and Dual-Guided Attention for Real-time Semantic Segmentation","created":"2023-10-31","cited_by_count":1,"area":null},{"id":"2407.01328","title":"CSFNet: A Cosine Similarity Fusion Network for Real-Time RGB-X Semantic Segmentation of Driving Scenes","created":"2024-07-01","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":"2504.10123","title":"M2S-RoAD: Multi-Modal Semantic Segmentation for Road Damage Using Camera and LiDAR Data","created":"2025-04-14","cited_by_count":1,"area":null},{"id":"2506.08629","title":"ECMNet:Lightweight Semantic Segmentation with Efficient CNN-Mamba Network","created":"2025-06-10","cited_by_count":1,"area":"ssm"},{"id":"2512.12941","title":"UAGLNet: Uncertainty-Aggregated Global-Local Fusion Network with Cooperative CNN-Transformer for Building Extraction","created":"2025-12-15","cited_by_count":1,"area":null},{"id":"2601.11310","title":"Context-Aware Semantic Segmentation via Stage-Wise Attention","created":"2026-01-16","cited_by_count":1,"area":null},{"id":"2111.00509","title":"DRBANET: A Lightweight Dual-Resolution Network for Semantic Segmentation with Boundary Auxiliary","created":"2021-10-31","cited_by_count":0,"area":null},{"id":"2112.12939","title":"Realtime Global Attention Network for Semantic Segmentation","created":"2021-12-24","cited_by_count":0,"area":null},{"id":"2202.05748","title":"Borrowing from yourself: Faster future video segmentation with partial channel update","created":"2022-02-11","cited_by_count":0,"area":null},{"id":"2202.08399","title":"Shift-Memory Network for Temporal Scene Segmentation","created":"2022-02-17","cited_by_count":0,"area":null},{"id":"2205.04639","title":"STDC-MA Network for Semantic Segmentation","created":"2022-05-10","cited_by_count":0,"area":null},{"id":"2206.09604","title":"Distortion-Aware Network Pruning and Feature Reuse for Real-time Video Segmentation","created":"2022-06-20","cited_by_count":0,"area":null},{"id":"2207.01871","title":"Latents2Segments: Disentangling the Latent Space of Generative Models for Semantic Segmentation of Face Images","created":"2022-07-05","cited_by_count":0,"area":null},{"id":"2207.04297","title":"SHDM-NET: Heat Map Detail Guidance with Image Matting for Industrial Weld Semantic Segmentation Network","created":"2022-07-09","cited_by_count":0,"area":null}],"next_cursor":"100"}