image segmentation

962 papers

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Also known as

RIS

Co-occurring keywords

semantic segmentation (3179) convolutional neural network (4216) medical imaging (960) object detection (2759) neural network (6616) instance segmentation (733) unsupervised learning (3255) zero-shot learning (3637) weakly supervised learning (1323) multimodal learning (4622)

Papers

Memory-Aided Contrastive Consensus Learning for Co-salient Object Detection AAAI 2023

Robust One-Shot Segmentation of Brain Tissues via Image-Aligned Style Transformation AAAI 2023

Rethinking Data Augmentation for Single-Source Domain Generalization in Medical Image Segmentation AAAI 2023

LD-ZNet: A Latent Diffusion Approach for Text-Based Image Segmentation ICCV 2023

AmnioML: Amniotic Fluid Segmentation and Volume Prediction with Uncertainty Quantification AAAI 2023

Regularized Primitive Graph Learning for Unified Vector Mapping ICCV 2023

ILSGAN: Independent Layer Synthesis for Unsupervised Foreground-Background Segmentation AAAI 2023

One-Shot Synthesis of Images and Segmentation Masks WACV 2023

Joint Self-Supervised Image-Volume Representation Learning with Intra-inter Contrastive Clustering AAAI 2023

Disentangling the Benefits of Self-Supervised Learning to Deployment-Driven Downstream Tasks of Satellite Images (Student Abstract) AAAI 2023

Topologically Faithful Image Segmentation via Induced Matching of Persistence Barcodes ICML 2023

Attribution-Aware Weight Transfer: A Warm-Start Initialization for Class-Incremental Semantic Segmentation WACV 2023

USAGE: A Unified Seed Area Generation Paradigm for Weakly Supervised Semantic Segmentation ICCV 2023

nnUNet meets pathology: Bridging the gap for application to whole slide images and computational biomarkers MIDL 2023

Predictive Flows for Faster Ford-Fulkerson ICML 2023

Toward Unpaired Multi-modal Medical Image Segmentation via Learning Structured Semantic Consistency MIDL 2023

Improving Segmentation of Objects with Varying Sizes in Biomedical Images using Instance-wise and Center-of-Instance Segmentation Loss Function MIDL 2023

Symmetry-Aware Transformer-Based Mirror Detection AAAI 2023

Spatial Correspondence between Graph Neural Network-Segmented Images MIDL 2023

Learning Clinically Acceptable Segmentation of Organs at Risk in Cervical Cancer Radiation Treatment from Clinically Available Annotations MIDL 2023

Memory-Efficient 3D Denoising Diffusion Models for Medical Image Processing MIDL 2023

SuperMask: Generating High-resolution object masks from multi-view, unaligned low-resolution MRIs MIDL 2023

Towards better certified segmentation via diffusion models UAI 2023

CLUSTSEG: Clustering for Universal Segmentation ICML 2023

AnoLeaf: Unsupervised Leaf Disease Segmentation via Structurally Robust Generative Inpainting WACV 2023