Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T04:48:35.281460Z
Paper Citation Record · LEDGER
As of 15 August 2026, this Paper Citation Record lists 77 of 77 outbound references and 0 inbound Pith citation observations for arXiv:1909.02651.
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 2026-08-14T04:48:35.281460Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
77 of 77 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 7c3ce53a-3602-4f52-9f67-f59b20ae3ba8 · outbound
Semantic Correlation Promoted Shape-Variant Context for Segmentation Higher order conditional random fields in deep neural networks
Reference 1
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Observation 088e77f8-dd2f-4620-820a-9ee6610685c9 · outbound
Semantic Correlation Promoted Shape-Variant Context for Segmentation Segnet: A deep convolutional encoder-decoder architecture for image segmentation
Reference 2
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Observation fa8ef6fb-92f0-4e85-a409-188cfd2d9095 · outbound
Semantic Correlation Promoted Shape-Variant Context for Segmentation Dense decoder shortcut connections for single-pass semantic segmentation
Reference 3
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Observation 9a0fa942-e457-4005-b735-a9a98c67685c · outbound
Semantic Correlation Promoted Shape-Variant Context for Segmentation Segmentation and recognition using structure from motion point clouds
Reference 4
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Observation 0c9f833a-0b2a-4c25-af71-37ce883e56b5 · outbound
Semantic Correlation Promoted Shape-Variant Context for Segmentation Loss max-pooling for semantic image segmentation
Reference 5
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Semantic Correlation Promoted Shape-Variant Context for Segmentation Breuel, Federico Raue, and Marcus Liwicki
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Semantic Correlation Promoted Shape-Variant Context for Segmentation Coco- stuff: Thing and stuff classes in context
Reference 7
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Semantic Correlation Promoted Shape-Variant Context for Segmentation Semantic image segmentation with deep convolutional nets and fully connected crfs
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Observation 6692b5ed-94a5-428f-b934-aafddbb0f6e6 · outbound
Semantic Correlation Promoted Shape-Variant Context for Segmentation Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs
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Observation 9c7b46c4-bc12-4274-84eb-00aca40cfd24 · outbound
Semantic Correlation Promoted Shape-Variant Context for Segmentation Attention to scale: Scale-aware semantic image segmentation
Reference 10
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Observation 42ebf767-29f8-45e2-bd39-7bf0877f6130 · outbound
Semantic Correlation Promoted Shape-Variant Context for Segmentation Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
Reference 11
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Observation 7938991e-2f53-4fc1-8beb-53b5521f77f1 · outbound
Semantic Correlation Promoted Shape-Variant Context for Segmentation Detect what you can: Detecting and representing objects using holistic models and body parts
Reference 12
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Observation b9aa0e69-efee-4607-80c8-631f28dc0f18 · outbound
Semantic Correlation Promoted Shape-Variant Context for Segmentation Xception: Deep learning with depthwise separable convolutions
Reference 13
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Observation 6dd3d304-3e28-4a5f-9a71-417a5f8acb42 · outbound
Semantic Correlation Promoted Shape-Variant Context for Segmentation The cityscapes dataset for semantic urban scene understanding
Reference 14
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Observation 1e01be2d-87de-4599-a7e3-4e4a41f33a4f · outbound
Semantic Correlation Promoted Shape-Variant Context for Segmentation Boxsup: Exploiting bounding boxes to supervise convolutional networks for semantic segmentation
Reference 15
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Observation f5f1e3c3-800c-48ec-b80f-ac293fe2317e · outbound
Semantic Correlation Promoted Shape-Variant Context for Segmentation Deformable convolutional networks
Reference 16
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Observation 3b4dd7d9-41c6-4814-962b-53f94f12bcd0 · outbound
Semantic Correlation Promoted Shape-Variant Context for Segmentation A Classification Refinement Strategy for Semantic Segmentation
Reference 17
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Observation 3680fe68-72cb-47ef-866e-934b7ceee333 · outbound
Semantic Correlation Promoted Shape-Variant Context for Segmentation Context contrasted feature and gated multi- scale aggregation for scene segmentation
Reference 18
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Observation a0db8d25-5adb-4a3e-a86e-3088d0d6c85a · outbound
Semantic Correlation Promoted Shape-Variant Context for Segmentation Learning hierarchical features for scene labeling
Reference 19
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Observation 4bfebaef-7744-4a05-b093-d4caa0387604 · outbound
Semantic Correlation Promoted Shape-Variant Context for Segmentation A Network Structure to Explicitly Reduce Confusion Errors in Semantic Segmentation
Reference 20
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Observation 52299eac-7ed4-4067-b9c6-5041d2c2e8e4 · outbound
Semantic Correlation Promoted Shape-Variant Context for Segmentation Laplacian pyramid reconstruction and refinement for semantic segmentation
Reference 21
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Observation 34434f9b-d821-42d6-b464-70ddd5ec9112 · outbound
Semantic Correlation Promoted Shape-Variant Context for Segmentation Unpaired image captioning by language pivoting
Reference 22
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Observation 2a2450eb-c7e1-42c1-901d-0ca24037addb · outbound
Semantic Correlation Promoted Shape-Variant Context for Segmentation Recent advances in convolutional neural networks
Reference 23
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Observation c5b6f31f-4c39-4c27-9e8f-e85262d65946 · outbound
Semantic Correlation Promoted Shape-Variant Context for Segmentation Scene graph generation with external knowledge and image reconstruction
Reference 24
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Observation 845c9440-b257-492b-854c-efa610436100 · outbound
Semantic Correlation Promoted Shape-Variant Context for Segmentation Hypercolumns for object segmentation and fine-grained localization
Reference 25
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Observation 6e56cf85-0996-487e-a074-6fa78b63f093 · outbound
Semantic Correlation Promoted Shape-Variant Context for Segmentation Deep residual learning for image recognition
Reference 26
Source-reported events for the cited work
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Observation ffff5253-70a0-4f42-96aa-1b273043ba25 · outbound
Semantic Correlation Promoted Shape-Variant Context for Segmentation LabelBank: Revisiting Global Perspectives for Semantic Segmentation
Reference 27
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Observation 05c1de69-443b-4045-bfad-cb661485c023 · outbound
Semantic Correlation Promoted Shape-Variant Context for Segmentation Weinberger
Reference 28
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Observation a4369249-409b-4f4e-8956-9dd38ea1f176 · outbound
Semantic Correlation Promoted Shape-Variant Context for Segmentation Error Correction for Dense Semantic Image Labeling
Reference 29
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Observation fe82e3d3-f9bb-4c66-ab44-4bab496bb76b · outbound
Semantic Correlation Promoted Shape-Variant Context for Segmentation Scene parsing with global context embedding
Reference 30
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Observation d879acb2-ad9c-41a6-b0d3-829382979af6 · outbound
Semantic Correlation Promoted Shape-Variant Context for Segmentation Batch normalization: Accelerating deep network training by reducing internal covariate shift
Reference 31
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Observation 08f1d1eb-26e0-46a2-bca1-f46ebc78fa11 · outbound
Semantic Correlation Promoted Shape-Variant Context for Segmentation Gated feedback refinement network for dense image labeling
Reference 32
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Observation c9883b1c-0695-457e-9278-63798262bd29 · outbound
Semantic Correlation Promoted Shape-Variant Context for Segmentation The one hundred layers tiramisu: Fully convolutional densenets for semantic segmentation
Reference 33
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Observation ad6a42be-dc35-45c0-b353-cc331f1fbc26 · outbound
Semantic Correlation Promoted Shape-Variant Context for Segmentation Adaptive affinity fields for semantic segmentation
Reference 34
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Observation 8a6207ba-fd98-4d9d-81b1-833e2117429a · outbound
Semantic Correlation Promoted Shape-Variant Context for Segmentation Recurrent scene parsing with perspective understanding in the loop
Reference 35
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Observation f7ec7ca8-c43d-4f2c-947e-33e97d770f24 · outbound
Semantic Correlation Promoted Shape-Variant Context for Segmentation Efficient inference in fully connected crfs with gaussian edge potentials
Reference 36
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Observation 86f12815-cf6e-4348-a3b2-b982cbe3ab4a · outbound
Semantic Correlation Promoted Shape-Variant Context for Segmentation Imagenet classification with deep convolutional neural networks
Reference 37
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Observation 55186a66-1274-42dc-b1cc-fc47b48bb597 · outbound
Semantic Correlation Promoted Shape-Variant Context for Segmentation Feature space optimization for semantic video segmentation
Reference 38
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Observation 8da4b004-a178-40b0-a03e-8c16f9a3d82b · outbound
Semantic Correlation Promoted Shape-Variant Context for Segmentation Semantic object parsing with graph lstm
Reference 39
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Observation e33d7bc2-62a6-4e9a-a0a7-b38df615a9c8 · outbound
Semantic Correlation Promoted Shape-Variant Context for Segmentation Semantic object parsing with local-global long short-term memory
Reference 40
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Observation d744d208-4d56-4e53-bb7d-bcbf55b7ed99 · outbound
Semantic Correlation Promoted Shape-Variant Context for Segmentation Dynamic- structured semantic propagation network
Reference 41
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Observation c3a2545b-bee2-4413-b961-44ee7092c8d1 · outbound
Semantic Correlation Promoted Shape-Variant Context for Segmentation Multi-scale context intertwining for semantic segmentation
Reference 42
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Observation 13e7125b-5fdd-4bda-a7e0-84e7c6ba13bd · outbound
Semantic Correlation Promoted Shape-Variant Context for Segmentation Refinenet: Multi-path refinement networks for high- resolution semantic segmentation
Reference 43
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Observation 0f411673-132d-4941-8723-d353539fbca8 · outbound
Semantic Correlation Promoted Shape-Variant Context for Segmentation Unresolved cited work
Reference 44
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Observation c46c0cb9-d5c1-4441-9f85-386edba37d51 · outbound
Semantic Correlation Promoted Shape-Variant Context for Segmentation Nonparametric scene parsing: Label transfer via dense scene alignment
Reference 45
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Observation eb6bee52-d818-4e75-a506-457c1a8e6907 · outbound
Semantic Correlation Promoted Shape-Variant Context for Segmentation Sift flow: Dense correspondence across scenes and its applications
Reference 46
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Observation 6bfcbb6b-8b60-4601-8ff2-d2658d3a0867 · outbound
Semantic Correlation Promoted Shape-Variant Context for Segmentation Feature boosting network for 3d pose estimation
Reference 47
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Observation 8ec8ff5b-a2a7-4f36-a6a8-fbf33a1bce68 · outbound
Semantic Correlation Promoted Shape-Variant Context for Segmentation Semantic image segmentation via deep parsing network
Reference 48
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Observation 81b61773-cb04-4b08-a23a-cf86e891622f · outbound
Semantic Correlation Promoted Shape-Variant Context for Segmentation Learning markov clustering networks for scene text detection
Reference 49
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Observation 992febf4-22b8-4591-8dfd-092140e23be9 · outbound
Semantic Correlation Promoted Shape-Variant Context for Segmentation Towards robust curve text detection with conditional spatial expansion
Reference 50
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Observation 05040ec7-5294-4a09-a664-e13cac1ceada · outbound
Semantic Correlation Promoted Shape-Variant Context for Segmentation Fully convolutional networks for semantic segmentation
Reference 51
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Observation 2b83853b-1e38-4f2d-9143-14810a3bda9d · outbound
Semantic Correlation Promoted Shape-Variant Context for Segmentation Are spatial and global constraints really necessary for segmentation? In ICCV, 2011
Reference 52
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Observation e1fe88b6-5e06-4631-8a42-c7431a3a8f08 · outbound
Semantic Correlation Promoted Shape-Variant Context for Segmentation Feedforward semantic segmentation with zoom-out features
Reference 53
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Observation b319f525-13e8-478c-ac47-e0ab17affe51 · outbound
Semantic Correlation Promoted Shape-Variant Context for Segmentation The role of context for object detection and semantic segmentation in the wild
Reference 54
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Observation 9eb48a07-0bc6-4574-bab5-074b64d94a4d · outbound
Semantic Correlation Promoted Shape-Variant Context for Segmentation Learning deconvolution network for semantic segmentation
Reference 55
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Observation 0cb01754-c81f-4d92-9718-59df7881955d · outbound
Semantic Correlation Promoted Shape-Variant Context for Segmentation Large kernel matters – improve semantic segmentation by global convolutional network
Reference 56
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Reference 57
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Semantic Correlation Promoted Shape-Variant Context for Segmentation Imagenet large scale visual recognition challenge
Reference 58
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Observation 7eb60104-2b0b-400d-9dd9-e1682a0fda46 · outbound
Semantic Correlation Promoted Shape-Variant Context for Segmentation Recursive context propagation network for semantic scene labeling
Reference 59
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Observation 395f01eb-b1b6-4596-8535-53e1ef5fd0a6 · outbound
Semantic Correlation Promoted Shape-Variant Context for Segmentation Fully convolutional networks for semantic segmentation
Reference 60
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Observation 10209157-8a0e-4177-a6cf-6e4495ead889 · outbound
Semantic Correlation Promoted Shape-Variant Context for Segmentation Toward achieving robust low-level and high- level scene parsing
Reference 61
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Observation 842656dd-9e08-4933-b673-b6fc2210d7b4 · outbound
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Reference 62
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Observation 0c3d756b-b132-46d9-b8fd-fc3b56b37b91 · outbound
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Reference 63
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Observation 931eaeac-19fe-4141-b907-ed3778e520b0 · outbound
Semantic Correlation Promoted Shape-Variant Context for Segmentation Going deeper with convolutions
Reference 64
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Observation 3a90efed-97e9-445f-b1ae-f2574b1cb0b7 · outbound
Semantic Correlation Promoted Shape-Variant Context for Segmentation Aanet: Attribute attention network for person re-identification
Reference 65
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Observation 6590a6e2-8afd-4742-b2ee-d953be39a5a0 · outbound
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Reference 66
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Observation 5067652f-afaf-4679-afde-fe78ca1989f8 · outbound
Semantic Correlation Promoted Shape-Variant Context for Segmentation Bridging Category-level and Instance-level Semantic Image Segmentation
Reference 67
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Observation 6ec2f1fc-217c-444e-8648-64e05cdbfe78 · outbound
Semantic Correlation Promoted Shape-Variant Context for Segmentation Zoom better to see clearer: Human and object parsing with hierarchical auto-zoom net
Reference 68
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Observation 4ae8b2ab-3d11-4ccc-af4f-d299a93e015b · outbound
Semantic Correlation Promoted Shape-Variant Context for Segmentation Combining the Best of Convolutional Layers and Recurrent Layers: A Hybrid Network for Semantic Segmentation
Reference 69
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Observation cec7420e-d11a-4738-96f0-05af710fc298 · outbound
Semantic Correlation Promoted Shape-Variant Context for Segmentation Context driven scene parsing with attention to rare classes
Reference 70
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Observation 31b826e3-0e51-494c-97eb-866e15f324be · outbound
Semantic Correlation Promoted Shape-Variant Context for Segmentation Denseaspp for semantic segmentation in street scenes
Reference 71
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Observation 4bb659e7-f5f9-45bb-a8c5-1a9bc459317a · outbound
Semantic Correlation Promoted Shape-Variant Context for Segmentation Learning a discriminative feature network for semantic segmentation
Reference 72
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Observation 1bb6565f-e6b6-4d50-b67a-4ee2b828e6cd · outbound
Semantic Correlation Promoted Shape-Variant Context for Segmentation Multi-Scale Context Aggregation by Dilated Convolutions
Reference 73
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Observation 9b42f97a-0766-4aa6-9b47-aff144d56970 · outbound
Semantic Correlation Promoted Shape-Variant Context for Segmentation Context encoding for semantic segmentation
Reference 74
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Observation b157e4ad-e84e-4fc4-a3a3-02595d306941 · outbound
Semantic Correlation Promoted Shape-Variant Context for Segmentation Pyramid scene parsing network
Reference 75
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Observation b6f0d098-a890-453f-af1f-8e0c4c848804 · outbound
Semantic Correlation Promoted Shape-Variant Context for Segmentation Psanet: Point-wise spatial attention network for scene parsing
Reference 76
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Observation 746d3337-2eee-4df4-b82b-8194d9a121c1 · outbound
Semantic Correlation Promoted Shape-Variant Context for Segmentation Conditional random fields as recurrent neural networks
Reference 77
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No inbound Pith citation observations are available.