{"list":"other","total":61,"rows":[{"id":"2006.11239","title":"Denoising Diffusion Probabilistic Models","created":"2020-06-19","cited_by_count":21076},{"id":"2010.02502","title":"Denoising Diffusion Implicit Models","created":"2020-10-06","cited_by_count":9781},{"id":"2105.05233","title":"Diffusion Models Beat GANs on Image Synthesis","created":"2021-05-11","cited_by_count":8255},{"id":"1503.03585","title":"Deep Unsupervised Learning using Nonequilibrium Thermodynamics","created":"2015-03-12","cited_by_count":7058},{"id":"2102.09672","title":"Improved Denoising Diffusion Probabilistic Models","created":"2021-02-18","cited_by_count":3761},{"id":"2112.10741","title":"GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models","created":"2021-12-20","cited_by_count":3614},{"id":"2204.03458","title":"Video Diffusion Models","created":"2022-04-07","cited_by_count":2305},{"id":"2001.07685","title":"FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence","created":"2020-01-21","cited_by_count":2085},{"id":"2104.07636","title":"Image Super-Resolution via Iterative Refinement","created":"2021-04-15","cited_by_count":1511},{"id":"1711.03213","title":"CyCADA: Cycle-Consistent Adversarial Domain Adaptation","created":"2017-11-08","cited_by_count":1082},{"id":"1802.10349","title":"Learning to Adapt Structured Output Space for Semantic Segmentation","created":"2018-02-28","cited_by_count":584},{"id":"2106.01226","title":"Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision","created":"2021-06-02","cited_by_count":463},{"id":"1907.07034","title":"Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation","created":"2019-07-16","cited_by_count":379},{"id":"2003.09005","title":"Semi-Supervised Semantic Segmentation with Cross-Consistency Training","created":"2020-03-19","cited_by_count":376},{"id":"2112.00390","title":"SegDiff: Image Segmentation with Diffusion Probabilistic Models","created":"2021-12-01","cited_by_count":280},{"id":"2206.04119","title":"Diffusion probabilistic modeling of protein backbones in 3D for the motif-scaffolding problem","created":"2022-06-08","cited_by_count":236},{"id":"2203.03884","title":"Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels","created":"2022-03-08","cited_by_count":218},{"id":"2009.04448","title":"Semi-supervised Medical Image Segmentation through Dual-task Consistency","created":"2020-09-09","cited_by_count":216},{"id":"2112.03145","title":"Diffusion Models for Implicit Image Segmentation Ensembles","created":"2021-12-06","cited_by_count":198},{"id":"2211.00611","title":"MedSegDiff: Medical Image Segmentation with Diffusion Probabilistic Model","created":"2022-11-01","cited_by_count":180},{"id":"2102.09559","title":"CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning","created":"2021-02-18","cited_by_count":175},{"id":"2012.00321","title":"Disentangling Label Distribution for Long-tailed Visual Recognition","created":"2020-12-01","cited_by_count":172},{"id":"2007.10732","title":"Shape-aware Semi-supervised 3D Semantic Segmentation for Medical Images","created":"2020-07-21","cited_by_count":152},{"id":"2303.17559","title":"DDP: Diffusion Model for Dense Visual Prediction","created":"2023-03-30","cited_by_count":148},{"id":"1903.00348","title":"Transformation Consistent Self-ensembling Model for Semi-supervised Medical Image Segmentation","created":"2019-02-28","cited_by_count":140},{"id":"2002.02255","title":"Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image Segmentation","created":"2020-02-06","cited_by_count":134},{"id":"2007.02035","title":"Shape-aware Meta-learning for Generalizing Prostate MRI Segmentation to Unseen Domains","created":"2020-07-04","cited_by_count":124},{"id":"2009.12829","title":"Domain Generalization for Medical Imaging Classification with Linear-Dependency Regularization","created":"2020-09-27","cited_by_count":123},{"id":"1901.08211","title":"Synergistic Image and Feature Adaptation: Towards Cross-Modality Domain Adaptation for Medical Image Segmentation","created":"2019-01-24","cited_by_count":121},{"id":"2305.00673","title":"Bidirectional Copy-Paste for Semi-Supervised Medical Image Segmentation","created":"2023-05-01","cited_by_count":116},{"id":"2103.02911","title":"Semi-supervised Left Atrium Segmentation with Mutual Consistency Training","created":"2021-03-04","cited_by_count":104},{"id":"2012.07042","title":"Efficient Semi-Supervised Gross Target Volume of Nasopharyngeal Carcinoma Segmentation via Uncertainty Rectified Pyramid Consistency","created":"2020-12-13","cited_by_count":102},{"id":"2210.06366","title":"A Generalist Framework for Panoptic Segmentation of Images and Videos","created":"2022-10-12","cited_by_count":99},{"id":"1811.06042","title":"Unsupervised domain adaptation for medical imaging segmentation with self-ensembling","created":"2018-11-14","cited_by_count":94},{"id":"2203.01324","title":"Exploring Smoothness and Class-Separation for Semi-supervised Medical Image Segmentation","created":"2022-03-02","cited_by_count":93},{"id":"2201.01490","title":"Debiased Learning from Naturally Imbalanced Pseudo-Labels","created":"2022-01-05","cited_by_count":85},{"id":"2006.16806","title":"Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation","created":"2020-06-28","cited_by_count":81},{"id":"1810.06498","title":"SynSeg-Net: Synthetic Segmentation Without Target Modality Ground Truth","created":"2018-10-15","cited_by_count":68},{"id":"2202.07136","title":"Debiased Self-Training for Semi-Supervised Learning","created":"2022-02-15","cited_by_count":62},{"id":"2005.03697","title":"Source-Relaxed Domain Adaptation for Image Segmentation","created":"2020-05-07","cited_by_count":52},{"id":"2106.05682","title":"DASO: Distribution-Aware Semantics-Oriented Pseudo-label for Imbalanced Semi-Supervised Learning","created":"2021-06-10","cited_by_count":51},{"id":"2201.08657","title":"Enhancing Pseudo Label Quality for Semi-Supervised Domain-Generalized Medical Image Segmentation","created":"2022-01-21","cited_by_count":51},{"id":"2105.07059","title":"Momentum Contrastive Voxel-wise Representation Learning for Semi-supervised Volumetric Medical Image Segmentation","created":"2021-05-14","cited_by_count":49},{"id":"1808.03887","title":"Semi-supervised Skin Lesion Segmentation via Transformation Consistent Self-ensembling Model","created":"2018-08-12","cited_by_count":45},{"id":"2205.10334","title":"UCC: Uncertainty guided Cross-head Co-training for Semi-Supervised Semantic Segmentation","created":"2022-05-20","cited_by_count":45},{"id":"2112.04564","title":"CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learning","created":"2021-12-08","cited_by_count":41},{"id":"2303.10326","title":"Diff-UNet: A Diffusion Embedded Network for Volumetric Segmentation","created":"2023-03-18","cited_by_count":41},{"id":"2101.06853","title":"Deep Symmetric Adaptation Network for Cross-modality Medical Image Segmentation","created":"2021-01-18","cited_by_count":39},{"id":"2106.13292","title":"Semi-supervised Meta-learning with Disentanglement for Domain-generalised Medical Image Segmentation","created":"2021-06-24","cited_by_count":36},{"id":"2205.03644","title":"Calibrating Label Distribution for Class-Imbalanced Barely-Supervised Knee Segmentation","created":"2022-05-07","cited_by_count":27},{"id":"2307.11960","title":"DHC: Dual-debiased Heterogeneous Co-training Framework for Class-imbalanced Semi-supervised Medical Image Segmentation","created":"2023-07-22","cited_by_count":25},{"id":"2206.09293","title":"Rethinking Bayesian Deep Learning Methods for Semi-Supervised Volumetric Medical Image Segmentation","created":"2022-06-18","cited_by_count":21},{"id":"2203.16557","title":"COSMOS: Cross-Modality Unsupervised Domain Adaptation for 3D Medical Image Segmentation based on Target-aware Domain Translation and Iterative Self-Training","created":"2022-03-30","cited_by_count":20},{"id":"2206.02288","title":"ACT: Semi-supervised Domain-adaptive Medical Image Segmentation with Asymmetric Co-training","created":"2022-06-05","cited_by_count":20},{"id":"2008.11514","title":"Disentangled Representations for Domain-generalized Cardiac Segmentation","created":"2020-08-26","cited_by_count":14},{"id":"2209.00123","title":"Addressing Class Imbalance in Semi-supervised Image Segmentation: A Study on Cardiac MRI","created":"2022-08-31","cited_by_count":14},{"id":"2211.11086","title":"An Embarrassingly Simple Baseline for Imbalanced Semi-Supervised Learning","created":"2022-11-20","cited_by_count":12},{"id":"2111.10989","title":"Exploring Feature Representation Learning for Semi-supervised Medical Image Segmentation","created":"2021-11-22","cited_by_count":11},{"id":"2206.14538","title":"vMFNet: Compositionality Meets Domain-generalised Segmentation","created":"2022-06-29","cited_by_count":11},{"id":"2304.07519","title":"Compete to Win: Enhancing Pseudo Labels for Barely-supervised Medical Image Segmentation","created":"2023-04-15","cited_by_count":10},{"id":"2206.03888","title":"ConFUDA: Contrastive Fewshot Unsupervised Domain Adaptation for Medical Image Segmentation","created":"2022-06-08","cited_by_count":3}],"next_cursor":null}