{"total":122,"rows":[{"id":"2104.13415","title":"Semi-Supervised Semantic Segmentation with Pixel-Level Contrastive Learning from a Class-wise Memory Bank","created":"2021-04-27","cited_by_count":125,"area":null},{"id":"2104.03064","title":"DG-Font: Deformable Generative Networks for Unsupervised Font Generation","created":"2021-04-07","cited_by_count":70,"area":null},{"id":"2103.10226","title":"Beyond Trivial Counterfactual Explanations with Diverse Valuable Explanations","created":"2021-03-18","cited_by_count":56,"area":null},{"id":"2111.00772","title":"AdaPool: Exponential Adaptive Pooling for Information-Retaining Downsampling","created":"2021-11-01","cited_by_count":47,"area":null},{"id":"2103.02083","title":"Uncertainty guided semi-supervised segmentation of retinal layers in OCT images","created":"2021-03-02","cited_by_count":29,"area":null},{"id":"2105.02359","title":"MODS -- A USV-oriented object detection and obstacle segmentation benchmark","created":"2021-05-05","cited_by_count":27,"area":null},{"id":"2304.12600","title":"Application of Segment Anything Model for Civil Infrastructure Defect Assessment","created":"2023-04-25","cited_by_count":27,"area":null},{"id":"2103.11351","title":"Cross-Dataset Collaborative Learning for Semantic Segmentation in Autonomous Driving","created":"2021-03-21","cited_by_count":23,"area":null},{"id":"2106.15944","title":"A survey on computational spectral reconstruction methods from RGB to hyperspectral imaging","created":"2021-06-30","cited_by_count":20,"area":null},{"id":"2112.09654","title":"FastSurferVINN: Building Resolution-Independence into Deep Learning Segmentation Methods -- A Solution for HighRes Brain MRI","created":"2021-12-17","cited_by_count":19,"area":null},{"id":"2203.09566","title":"Leveraging Adversarial Examples to Quantify Membership Information Leakage","created":"2022-03-17","cited_by_count":19,"area":null},{"id":"2207.03450","title":"TFCNs: A CNN-Transformer Hybrid Network for Medical Image Segmentation","created":"2022-07-07","cited_by_count":18,"area":null},{"id":"2305.06314","title":"Scan2LoD3: Reconstructing semantic 3D building models at LoD3 using ray casting and Bayesian networks","created":"2023-05-10","cited_by_count":17,"area":null},{"id":"2206.07050","title":"Near-Exact Recovery for Tomographic Inverse Problems via Deep Learning","created":"2022-06-14","cited_by_count":13,"area":null},{"id":"2403.19588","title":"DenseNets Reloaded: Paradigm Shift Beyond ResNets and ViTs","created":"2024-03-28","cited_by_count":12,"area":null},{"id":"2207.09389","title":"Image Synthesis with Disentangled Attributes for Chest X-Ray Nodule Augmentation and Detection","created":"2022-07-19","cited_by_count":11,"area":null},{"id":"2201.05905","title":"SS-3DCapsNet: Self-supervised 3D Capsule Networks for Medical Segmentation on Less Labeled Data","created":"2022-01-15","cited_by_count":10,"area":null},{"id":"2208.06643","title":"Recent Progress in Transformer-based Medical Image Analysis","created":"2022-08-13","cited_by_count":9,"area":null},{"id":"2101.11943","title":"An Explainable AI System for Automated COVID-19 Assessment and Lesion Categorization from CT-scans","created":"2021-01-28","cited_by_count":7,"area":null},{"id":"2102.03858","title":"Damage detection using in-domain and cross-domain transfer learning","created":"2021-02-07","cited_by_count":7,"area":null},{"id":"2203.08965","title":"3D-UCaps: 3D Capsules Unet for Volumetric Image Segmentation","created":"2022-03-16","cited_by_count":7,"area":null},{"id":"2104.03577","title":"Stable deep neural network architectures for mitochondria segmentation on electron microscopy volumes","created":"2021-04-08","cited_by_count":6,"area":null},{"id":"2112.13559","title":"DAM-AL: Dilated Attention Mechanism with Attention Loss for 3D Infant Brain Image Segmentation","created":"2021-12-27","cited_by_count":6,"area":null},{"id":"2204.05818","title":"GlacierNet2: A Hybrid Multi-Model Learning Architecture for Alpine Glacier Mapping","created":"2022-04-06","cited_by_count":6,"area":null},{"id":"2205.01947","title":"EllSeg-Gen, towards Domain Generalization for head-mounted eyetracking","created":"2022-05-04","cited_by_count":6,"area":null},{"id":"2310.08143","title":"A Deep Learning Framework for Spatiotemporal Ultrasound Localization Microscopy","created":"2023-10-12","cited_by_count":6,"area":null},{"id":"2205.08416","title":"Semi-Supervised Building Footprint Generation with Feature and Output Consistency Training","created":"2022-05-17","cited_by_count":5,"area":null},{"id":"2101.01659","title":"Spatial Attention Improves Iterative 6D Object Pose Estimation","created":"2021-01-05","cited_by_count":4,"area":null},{"id":"2103.07240","title":"Longitudinal Quantitative Assessment of COVID-19 Infection Progression from Chest CTs","created":"2021-03-12","cited_by_count":4,"area":null},{"id":"2103.11594","title":"Deep Neural Networks Learn Meta-Structures from Noisy Labels in Semantic Segmentation","created":"2021-03-22","cited_by_count":4,"area":null},{"id":"2111.08591","title":"Robustness of Bayesian Neural Networks to White-Box Adversarial Attacks","created":"2021-11-16","cited_by_count":4,"area":null},{"id":"2208.10851","title":"Bayesian Floor Field: Transferring people flow predictions across environments","created":"2022-08-23","cited_by_count":4,"area":null},{"id":"2301.06187","title":"CNN-Based Action Recognition and Pose Estimation for Classifying Animal Behavior from Videos: A Survey","created":"2023-01-15","cited_by_count":4,"area":null},{"id":"2302.03064","title":"Investigating Pulse-Echo Sound Speed Estimation in Breast Ultrasound with Deep Learning","created":"2023-02-06","cited_by_count":4,"area":null},{"id":"2303.04506","title":"Radio astronomical images object detection and segmentation: A benchmark on deep learning methods","created":"2023-03-08","cited_by_count":4,"area":null},{"id":"2303.12394","title":"Road Extraction with Satellite Images and Partial Road Maps","created":"2023-03-22","cited_by_count":4,"area":null},{"id":"2402.14393","title":"Graph Parsing Networks","created":"2024-02-22","cited_by_count":4,"area":null},{"id":"2106.00280","title":"AAPM DL-Sparse-View CT Challenge Submission Report: Designing an Iterative Network for Fanbeam-CT with Unknown Geometry","created":"2021-06-01","cited_by_count":3,"area":null},{"id":"2201.03597","title":"Cross-Modality Sub-Image Retrieval using Contrastive Multimodal Image Representations","created":"2022-01-10","cited_by_count":3,"area":null},{"id":"2210.04218","title":"Transformer-based Flood Scene Segmentation for Developing Countries","created":"2022-10-09","cited_by_count":3,"area":null},{"id":"2307.01115","title":"MeT: A Graph Transformer for Semantic Segmentation of 3D Meshes","created":"2023-07-03","cited_by_count":3,"area":null},{"id":"2501.10615","title":"Hierarchical LoG Bayesian Neural Network for Enhanced Aorta Segmentation","created":"2025-01-18","cited_by_count":3,"area":null},{"id":"2503.15563","title":"DPFAGA-Dynamic Power Flow Analysis and Fault Characteristics: A Graph Attention Neural Network","created":"2025-03-19","cited_by_count":3,"area":null},{"id":"2103.12213","title":"Temporal Feature Networks for CNN based Object Detection","created":"2021-03-22","cited_by_count":2,"area":null},{"id":"2107.07985","title":"Unpaired cross-modality educed distillation (CMEDL) for medical image segmentation","created":"2021-07-16","cited_by_count":2,"area":null},{"id":"2110.00948","title":"Interactive Segmentation for COVID-19 Infection Quantification on Longitudinal CT scans","created":"2021-10-03","cited_by_count":2,"area":null},{"id":"2202.10244","title":"Stochastic Modeling of Inhomogeneities in the Aortic Wall and Uncertainty Quantification using a Bayesian Encoder-Decoder Surrogate","created":"2022-02-21","cited_by_count":2,"area":null},{"id":"2205.13199","title":"Decoupled Pyramid Correlation Network for Liver Tumor Segmentation from CT images","created":"2022-05-26","cited_by_count":2,"area":null},{"id":"2206.05289","title":"Localized adversarial artifacts for compressed sensing MRI","created":"2022-06-10","cited_by_count":2,"area":null},{"id":"2207.13572","title":"Membership Inference Attacks via Adversarial Examples","created":"2022-07-27","cited_by_count":2,"area":"safety"},{"id":"2212.14742","title":"DGFont++: Robust Deformable Generative Networks for Unsupervised Font Generation","created":"2022-12-30","cited_by_count":2,"area":null},{"id":"2302.05803","title":"TPE-Net: Track Point Extraction and Association Network for Rail Path Proposal Generation","created":"2023-02-11","cited_by_count":2,"area":null},{"id":"2303.00403","title":"Can representation learning for multimodal image registration be improved by supervision of intermediate layers?","created":"2023-03-01","cited_by_count":2,"area":null},{"id":"2307.02392","title":"RADiff: Controllable Diffusion Models for Radio Astronomical Maps Generation","created":"2023-07-05","cited_by_count":2,"area":"diffusion"},{"id":"2403.13094","title":"Train Ego-Path Detection on Railway Tracks Using End-to-End Deep Learning","created":"2024-03-19","cited_by_count":2,"area":null},{"id":"2404.13911","title":"GlobalBuildingMap -- Unveiling the Mystery of Global Buildings","created":"2024-04-22","cited_by_count":2,"area":null},{"id":"2409.12034","title":"Multi-Sensor Deep Learning for Glacier Mapping","created":"2024-09-18","cited_by_count":2,"area":null},{"id":"2411.09553","title":"OOD-SEG: Exploiting out-of-distribution detection techniques for learning image segmentation from sparse multi-class positive-only annotations","created":"2024-11-14","cited_by_count":2,"area":null},{"id":"2505.01884","title":"Adversarial Robustness of Deep Learning Models for Inland Water Body Segmentation from SAR Images","created":"2025-05-03","cited_by_count":2,"area":null},{"id":"2505.18857","title":"Hierarchical-embedding autoencoder with a predictor (HEAP) as efficient architecture for learning long-term evolution of complex multi-scale physical systems","created":"2025-05-24","cited_by_count":2,"area":null},{"id":"2508.03982","title":"UNISELF: A Unified Network with Instance Normalization and Self-Ensembled Lesion Fusion for Multiple Sclerosis Lesion Segmentation","created":"2025-08-06","cited_by_count":2,"area":null},{"id":"2101.10837","title":"The Ikshana Hypothesis of Human Scene Understanding","created":"2021-01-21","cited_by_count":1,"area":null},{"id":"2102.08556","title":"Deep cross-modality (MR-CT) educed distillation learning for cone beam CT lung tumor segmentation","created":"2021-02-17","cited_by_count":1,"area":null},{"id":"2103.04989","title":"Deep learning-based super-resolution fluorescence microscopy on small datasets","created":"2021-03-07","cited_by_count":1,"area":null},{"id":"2103.09056","title":"A Bayesian Multiscale Deep Learning Framework for Flows in Random Media","created":"2021-03-08","cited_by_count":1,"area":null},{"id":"2103.12434","title":"Recent Ice Trends in Swiss Mountain Lakes: 20-year Analysis of MODIS Imagery","created":"2021-03-23","cited_by_count":1,"area":null},{"id":"2104.06957","title":"ComBiNet: Compact Convolutional Bayesian Neural Network for Image Segmentation","created":"2021-04-14","cited_by_count":1,"area":null},{"id":"2105.04103","title":"BIM Hyperreality: Data Synthesis Using BIM and Hyperrealistic Rendering for Deep Learning","created":"2021-05-10","cited_by_count":1,"area":null},{"id":"2105.13531","title":"Empirical Study of Multi-Task Hourglass Model for Semantic Segmentation Task","created":"2021-05-28","cited_by_count":1,"area":null},{"id":"2107.00693","title":"Inter-Beat Interval Estimation with Tiramisu Model: A Novel Approach with Reduced Error","created":"2021-07-01","cited_by_count":1,"area":null},{"id":"2107.09092","title":"Learning a Joint Embedding of Multiple Satellite Sensors: A Case Study for Lake Ice Monitoring","created":"2021-07-19","cited_by_count":1,"area":null},{"id":"2201.09633","title":"Paired Image to Image Translation for Strikethrough Removal From Handwritten Words","created":"2022-01-24","cited_by_count":1,"area":null},{"id":"2203.01882","title":"DenseUNets with feedback non-local attention for the segmentation of specular microscopy images of the corneal endothelium with guttae","created":"2022-03-03","cited_by_count":1,"area":null},{"id":"2203.08951","title":"Meta-Learning of NAS for Few-shot Learning in Medical Image Applications","created":"2022-03-16","cited_by_count":1,"area":null},{"id":"2203.10804","title":"Longitudinal Self-Supervision for COVID-19 Pathology Quantification","created":"2022-03-21","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":"2209.00232","title":"Hybrid Gromov-Wasserstein Embedding for Capsule Learning","created":"2022-09-01","cited_by_count":1,"area":null},{"id":"2211.11607","title":"Semantic Segmentation for Fully Automated Macrofouling Analysis on Coatings after Field Exposure","created":"2022-11-21","cited_by_count":1,"area":null},{"id":"2302.02289","title":"Selecting the Best Optimizers for Deep Learning based Medical Image Segmentation","created":"2023-02-05","cited_by_count":1,"area":null},{"id":"2302.10904","title":"Deep Learning in Healthcare: An In-Depth Analysis","created":"2023-02-12","cited_by_count":1,"area":null},{"id":"2307.13361","title":"Of Mice and Pose: 2D Mouse Pose Estimation from Unlabelled Data and Synthetic Prior","created":"2023-07-25","cited_by_count":1,"area":null},{"id":"2311.11782","title":"Robust Tumor Segmentation with Hyperspectral Imaging and Graph Neural Networks","created":"2023-11-20","cited_by_count":1,"area":null},{"id":"2311.17546","title":"VINNA for Neonates -- Orientation Independence through Latent Augmentations","created":"2023-11-29","cited_by_count":1,"area":null},{"id":"2402.12072","title":"Robustness and Exploration of Variational and Machine Learning Approaches to Inverse Problems: An Overview","created":"2024-02-19","cited_by_count":1,"area":null},{"id":"2403.14002","title":"Uncertainty Driven Active Learning for Image Segmentation in Underwater Inspection","created":"2024-03-20","cited_by_count":1,"area":null},{"id":"2409.07736","title":"Transfer Learning Applied to Computer Vision Problems: Survey on Current Progress, Limitations, and Opportunities","created":"2024-09-12","cited_by_count":1,"area":null},{"id":"2503.10717","title":"Deep Learning-Based Automated Workflow for Accurate Segmentation and Measurement of Abdominal Organs in CT Scans","created":"2025-03-13","cited_by_count":1,"area":null},{"id":"2508.06537","title":"Benchmarking Deep Learning-Based Object Detection Models on Feature Deficient Astrophotography Imagery Dataset","created":"2025-08-04","cited_by_count":1,"area":null},{"id":"2101.04823","title":"A reusable pipeline for large-scale fiber segmentation on unidirectional fiber beds using fully convolutional neural networks","created":"2021-01-13","cited_by_count":0,"area":null},{"id":"2102.02588","title":"Lookup subnet based Spatial Graph Convolutional neural Network","created":"2021-02-04","cited_by_count":0,"area":null},{"id":"2102.13541","title":"Nested-block self-attention for robust radiotherapy planning segmentation","created":"2021-02-26","cited_by_count":0,"area":null},{"id":"2103.10084","title":"TPPI-Net: Towards Efficient and Practical Hyperspectral Image Classification","created":"2021-03-18","cited_by_count":0,"area":null},{"id":"2103.10670","title":"Improving Image co-segmentation via Deep Metric Learning","created":"2021-03-19","cited_by_count":0,"area":null},{"id":"2108.02676","title":"Redesigning Fully Convolutional DenseUNets for Large Histopathology Images","created":"2021-08-05","cited_by_count":0,"area":null},{"id":"2109.10083","title":"PDFNet: Pointwise Dense Flow Network for Urban-Scene Segmentation","created":"2021-09-21","cited_by_count":0,"area":null},{"id":"2110.14484","title":"PL-Net: Progressive Learning Network for Medical Image Segmentation","created":"2021-10-27","cited_by_count":0,"area":null},{"id":"2111.05408","title":"Robust deep learning-based semantic organ segmentation in hyperspectral images","created":"2021-11-09","cited_by_count":0,"area":null},{"id":"2111.14605","title":"Weakly-supervised Generative Adversarial Networks for medical image classification","created":"2021-11-29","cited_by_count":0,"area":null},{"id":"2201.12010","title":"Unfolding a blurred image","created":"2022-01-28","cited_by_count":0,"area":null},{"id":"2202.06465","title":"A State-of-the-art Survey of U-Net in Microscopic Image Analysis: from Simple Usage to Structure Mortification","created":"2022-02-14","cited_by_count":0,"area":null}],"next_cursor":"100"}