Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T20:17:46.957535Z
Paper Citation Record · LEDGER
As of 18 August 2026, this Paper Citation Record lists 100 of 185 outbound references and 1 inbound Pith citation observation for arXiv:2505.13584.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T20:17:46.957535Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T22:08:24.225019Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T22:08:28.205963Z
100 of 185 outbound references displayed
External citation measurements
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Observation 8a9a6b77-d201-49dd-8c50-c76ef6b5fafa · outbound
Self-Supervised Learning for Image Segmentation: A Comprehensive Survey Image segmentation with a unified graphical model,
Reference 1
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Self-Supervised Learning for Image Segmentation: A Comprehensive Survey Histogram-based au- tomatic segmentation of images,
Reference 2
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Self-Supervised Learning for Image Segmentation: A Comprehensive Survey Image segmentation using deep learning: A survey,
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Self-Supervised Learning for Image Segmentation: A Comprehensive Survey Ultrasound image segmentation: a deeply supervised network with attention to boundaries,
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Self-Supervised Learning for Image Segmentation: A Comprehensive Survey A brief survey on semantic segmentation with deep learning,
Reference 5
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Self-Supervised Learning for Image Segmentation: A Comprehensive Survey Single-stage semantic segmentation from image labels,
Reference 6
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Self-Supervised Learning for Image Segmentation: A Comprehensive Survey Generative semantic segmen- tation,
Reference 7
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Reference 8
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Self-Supervised Learning for Image Segmentation: A Comprehensive Survey Self-supervised pretraining for 2d medical image segmentation,
Reference 9
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Self-Supervised Learning for Image Segmentation: A Comprehensive Survey Self-supervised model adap- tation for multimodal semantic segmentation,
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Observation a4999a8d-ad4d-45fd-8041-a933e6a4d98c · outbound
Self-Supervised Learning for Image Segmentation: A Comprehensive Survey Improved semi-supervised attention gan for semantic segmentation,
Reference 12
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Observation 0d7256b0-3f1a-417a-a64c-a8d552948965 · outbound
Self-Supervised Learning for Image Segmentation: A Comprehensive Survey A unified architecture for instance and semantic segmentation,
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Observation 6c1a67e2-7891-47c6-8cf8-be6416e0c918 · outbound
Self-Supervised Learning for Image Segmentation: A Comprehensive Survey Unsupervised dense prediction using differen- tiable normalized cuts,
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Observation 763664a9-4395-41e6-a199-d702f86af1fc · outbound
Self-Supervised Learning for Image Segmentation: A Comprehensive Survey A survey on self-supervised learning: Algorithms, applicati., and future trends,
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Self-Supervised Learning for Image Segmentation: A Comprehensive Survey Mine your own anatomy: Revisiting medical image segmentation with extremely limited labels,
Reference 16
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Self-Supervised Learning for Image Segmentation: A Comprehensive Survey Self-supervised learning of pretext- invariant representations,
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Observation 7cce1610-7e41-4515-bf2d-b9b285609c89 · outbound
Self-Supervised Learning for Image Segmentation: A Comprehensive Survey Improving open-set semi-supervised learning with self-supervision,
Reference 18
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Observation 3d0204b4-6ca2-49a7-9c7f-7f6fa79f081d · outbound
Self-Supervised Learning for Image Segmentation: A Comprehensive Survey Location-aware self-supervised transformers for semantic segmentation,
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Self-Supervised Learning for Image Segmentation: A Comprehensive Survey Self-supervised learning of audio-visual objects from video,
Reference 21
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Observation 5c291ac7-2fe9-445a-8726-1dc5b7bda8aa · outbound
Self-Supervised Learning for Image Segmentation: A Comprehensive Survey Big self- supervised models advance medical image classification,
Reference 22
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Self-Supervised Learning for Image Segmentation: A Comprehensive Survey Self-supervised learning by estimating twin class distribution,
Reference 23
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Self-Supervised Learning for Image Segmentation: A Comprehensive Survey PGL: Prior-Guided Local Self-supervised Learning for 3D Medical Image Segmentation
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Self-Supervised Learning for Image Segmentation: A Comprehensive Survey Self- supervised edge detection reconstruction for topology-informed 3d axon segmentation and centerline detection,
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Self-Supervised Learning for Image Segmentation: A Comprehensive Survey A joint speech enhancement and self-supervised representation learning framework for noise-robust speech recognition,
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Reference 29
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Self-Supervised Learning for Image Segmentation: A Comprehensive Survey Self-supervised visual feature learning with deep neural networks: A survey,
Reference 30
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Observation e2479a8e-25ef-49dc-b858-df1322c3cb7d · outbound
Self-Supervised Learning for Image Segmentation: A Comprehensive Survey Review on self-supervised image recogni. using deep neural networks,
Reference 31
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Observation 24faf5d4-74cb-42a4-b5ab-9be2de6c09d7 · outbound
Self-Supervised Learning for Image Segmentation: A Comprehensive Survey A review of self-supervised learning methods in the field of medical image analy.,
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Observation a32adbe3-9bd4-4637-a362-21b6ca7b0b4d · outbound
Self-Supervised Learning for Image Segmentation: A Comprehensive Survey Self-supervised learning methods and applicati. in medical imaging analysis: A survey,
Reference 33
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Self-Supervised Learning for Image Segmentation: A Comprehensive Survey Survey on self-supervised learning: auxiliary pretext tasks and contrastive learning methods in imaging,
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Self-Supervised Learning for Image Segmentation: A Comprehensive Survey Deep learning for cardiac image segmentation: a review,
Reference 35
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Observation 1014e4e2-1db0-4bf3-a80c-b148657f7333 · outbound
Self-Supervised Learning for Image Segmentation: A Comprehensive Survey Deep learning based brain tumor segmentation: a survey,
Reference 36
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Observation 8e5910d0-59a6-4ac9-882b-f7666a2a0e1b · outbound
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Observation 32c9c51e-92f3-4c15-a984-135a79200ee4 · outbound
Self-Supervised Learning for Image Segmentation: A Comprehensive Survey Self-supervised Learning in Remote Sensing: A Review
Reference 38
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Self-Supervised Learning for Image Segmentation: A Comprehensive Survey A visual vocabulary for flower classification,
Reference 40
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Self-Supervised Learning for Image Segmentation: A Comprehensive Survey Scene parsing through ade20k dataset,
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Observation e36f407e-46dd-4d87-8622-791d7f7f35e8 · outbound
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Self-Supervised Learning for Image Segmentation: A Comprehensive Survey Context encoders: Feature learning by inpainting,
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Self-Supervised Learning for Image Segmentation: A Comprehensive Survey Improving cytoarchitectonic segmentation of human brain areas with self-supervised siamese networks,
Reference 95
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Self-Supervised Learning for Image Segmentation: A Comprehensive Survey Order matters: Shuffling sequence generation for video prediction,
Reference 96
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Self-Supervised Learning for Image Segmentation: A Comprehensive Survey Self-supervised representation learning by rotation feature decoupling,
Reference 97
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Self-Supervised Learning for Image Segmentation: A Comprehensive Survey What does rotation prediction tell us about classifier accuracy under varying testing environments?,
Reference 98
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Self-Supervised Learning for Image Segmentation: A Comprehensive Survey Sample Efficient Semantic Segmentation using Rotation Equivariant Convolutional Networks
Reference 99
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Self-Supervised Learning for Image Segmentation: A Comprehensive Survey Self- supervised feature learning for 3d medical images by playing a rubik’s cube,
Reference 100
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Reference 101
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Dual Atrous Separable Convolution for Improving Agricultural Semantic Segmentation Self-Supervised Learning for Image Segmentation: A Comprehensive Survey
Reference 1
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