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Paper Citation Record · LEDGER

Semantic Correlation Promoted Shape-Variant Context for Segmentation

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.

pith.paper-citation-record.v1
1909.02651 v1

Coverage vector

measured 77 of 77 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:48:35.281460Z

measured 77 of 77 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

77 of 77 outbound references displayed

  • verified exact4
  • verified fuzzy54
  • unresolved19
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7c3ce53a-3602-4f52-9f67-f59b20ae3ba8 · outbound

This paper cites Higher order conditional random fields in deep neural networks.

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

This paper cites Segnet: A deep convolutional encoder-decoder architecture for image segmentation.

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

This paper cites Dense decoder shortcut connections for single-pass semantic segmentation.

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

This paper cites Segmentation and recognition using structure from motion point clouds.

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

This paper cites Loss max-pooling for semantic image segmentation.

Semantic Correlation Promoted Shape-Variant Context for Segmentation Loss max-pooling for semantic image segmentation

Reference 5

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Source-reported events for the cited work

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Observation 4f8bf953-90e8-4e83-b06a-f96785b08f8e · outbound

This paper cites Breuel, Federico Raue, and Marcus Liwicki.

Semantic Correlation Promoted Shape-Variant Context for Segmentation Breuel, Federico Raue, and Marcus Liwicki

Reference 6

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Source-reported events for the cited work

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Observation 5da91576-b384-48c9-b4ae-5425763f10eb · outbound

This paper cites Coco- stuff: Thing and stuff classes in context.

Semantic Correlation Promoted Shape-Variant Context for Segmentation Coco- stuff: Thing and stuff classes in context

Reference 7

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Source-reported events for the cited work

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Observation 1b3ce2fe-7f13-465b-913e-f201941ed3c9 · outbound

This paper cites Semantic image segmentation with deep convolutional nets and fully connected crfs.

Semantic Correlation Promoted Shape-Variant Context for Segmentation Semantic image segmentation with deep convolutional nets and fully connected crfs

Reference 8

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Source-reported events for the cited work

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Observation 6692b5ed-94a5-428f-b934-aafddbb0f6e6 · outbound

This paper cites Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs.

Semantic Correlation Promoted Shape-Variant Context for Segmentation Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs

Reference 9

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Source-reported events for the cited work

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Observation 9c7b46c4-bc12-4274-84eb-00aca40cfd24 · outbound

This paper cites Attention to scale: Scale-aware semantic image segmentation.

Semantic Correlation Promoted Shape-Variant Context for Segmentation Attention to scale: Scale-aware semantic image segmentation

Reference 10

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Source-reported events for the cited work

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Observation 42ebf767-29f8-45e2-bd39-7bf0877f6130 · outbound

This paper cites Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation.

Semantic Correlation Promoted Shape-Variant Context for Segmentation Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

Reference 11

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Source-reported events for the cited work

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Observation 7938991e-2f53-4fc1-8beb-53b5521f77f1 · outbound

This paper cites Detect what you can: Detecting and representing objects using holistic models and body parts.

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

This paper cites Xception: Deep learning with depthwise separable convolutions.

Semantic Correlation Promoted Shape-Variant Context for Segmentation Xception: Deep learning with depthwise separable convolutions

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 6dd3d304-3e28-4a5f-9a71-417a5f8acb42 · outbound

This paper cites The cityscapes dataset for semantic urban scene understanding.

Semantic Correlation Promoted Shape-Variant Context for Segmentation The cityscapes dataset for semantic urban scene understanding

Reference 14

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 1e01be2d-87de-4599-a7e3-4e4a41f33a4f · outbound

This paper cites Boxsup: Exploiting bounding boxes to supervise convolutional networks for semantic segmentation.

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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no resolver link, observed 2026-08-14T04:48:33.837230Z

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Observation f5f1e3c3-800c-48ec-b80f-ac293fe2317e · outbound

This paper cites Deformable convolutional networks.

Semantic Correlation Promoted Shape-Variant Context for Segmentation Deformable convolutional networks

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 3b4dd7d9-41c6-4814-962b-53f94f12bcd0 · outbound

This paper cites A Classification Refinement Strategy for Semantic Segmentation.

Semantic Correlation Promoted Shape-Variant Context for Segmentation A Classification Refinement Strategy for Semantic Segmentation

Reference 17

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Source-reported events for the cited work

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Observation 3680fe68-72cb-47ef-866e-934b7ceee333 · outbound

This paper cites Context contrasted feature and gated multi- scale aggregation for scene segmentation.

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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Source-reported events for the cited work

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Observation a0db8d25-5adb-4a3e-a86e-3088d0d6c85a · outbound

This paper cites Learning hierarchical features for scene labeling.

Semantic Correlation Promoted Shape-Variant Context for Segmentation Learning hierarchical features for scene labeling

Reference 19

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Source-reported events for the cited work

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Observation 4bfebaef-7744-4a05-b093-d4caa0387604 · outbound

This paper cites A Network Structure to Explicitly Reduce Confusion Errors in Semantic Segmentation.

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 52299eac-7ed4-4067-b9c6-5041d2c2e8e4 · outbound

This paper cites Laplacian pyramid reconstruction and refinement for semantic segmentation.

Semantic Correlation Promoted Shape-Variant Context for Segmentation Laplacian pyramid reconstruction and refinement for semantic segmentation

Reference 21

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Source-reported events for the cited work

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Observation 34434f9b-d821-42d6-b464-70ddd5ec9112 · outbound

This paper cites Unpaired image captioning by language pivoting.

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

This paper cites Recent advances in convolutional neural networks.

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

This paper cites Scene graph generation with external knowledge and image reconstruction.

Semantic Correlation Promoted Shape-Variant Context for Segmentation Scene graph generation with external knowledge and image reconstruction

Reference 24

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Source-reported events for the cited work

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Observation 845c9440-b257-492b-854c-efa610436100 · outbound

This paper cites Hypercolumns for object segmentation and fine-grained localization.

Semantic Correlation Promoted Shape-Variant Context for Segmentation Hypercolumns for object segmentation and fine-grained localization

Reference 25

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Source-reported events for the cited work

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Observation 6e56cf85-0996-487e-a074-6fa78b63f093 · outbound

This paper cites Deep residual learning for image recognition.

Semantic Correlation Promoted Shape-Variant Context for Segmentation Deep residual learning for image recognition

Reference 26

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Observation ffff5253-70a0-4f42-96aa-1b273043ba25 · outbound

This paper cites LabelBank: Revisiting Global Perspectives for Semantic Segmentation.

Semantic Correlation Promoted Shape-Variant Context for Segmentation LabelBank: Revisiting Global Perspectives for Semantic Segmentation

Reference 27

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Source-reported events for the cited work

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Observation 05c1de69-443b-4045-bfad-cb661485c023 · outbound

This paper cites Weinberger.

Semantic Correlation Promoted Shape-Variant Context for Segmentation Weinberger

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation a4369249-409b-4f4e-8956-9dd38ea1f176 · outbound

This paper cites Error Correction for Dense Semantic Image Labeling.

Semantic Correlation Promoted Shape-Variant Context for Segmentation Error Correction for Dense Semantic Image Labeling

Reference 29

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verified exact
local_arxiv, observed 2026-08-14T04:48:35.415210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation fe82e3d3-f9bb-4c66-ab44-4bab496bb76b · outbound

This paper cites Scene parsing with global context embedding.

Semantic Correlation Promoted Shape-Variant Context for Segmentation Scene parsing with global context embedding

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation d879acb2-ad9c-41a6-b0d3-829382979af6 · outbound

This paper cites Batch normalization: Accelerating deep network training by reducing internal covariate shift.

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 08f1d1eb-26e0-46a2-bca1-f46ebc78fa11 · outbound

This paper cites Gated feedback refinement network for dense image labeling.

Semantic Correlation Promoted Shape-Variant Context for Segmentation Gated feedback refinement network for dense image labeling

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation c9883b1c-0695-457e-9278-63798262bd29 · outbound

This paper cites The one hundred layers tiramisu: Fully convolutional densenets for semantic segmentation.

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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raw_fallback, observed 2026-08-14T04:48:37.882369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation ad6a42be-dc35-45c0-b353-cc331f1fbc26 · outbound

This paper cites Adaptive affinity fields for semantic segmentation.

Semantic Correlation Promoted Shape-Variant Context for Segmentation Adaptive affinity fields for semantic segmentation

Reference 34

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verified fuzzy
raw_fallback, observed 2026-08-14T04:48:37.872252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 8a6207ba-fd98-4d9d-81b1-833e2117429a · outbound

This paper cites Recurrent scene parsing with perspective understanding in the loop.

Semantic Correlation Promoted Shape-Variant Context for Segmentation Recurrent scene parsing with perspective understanding in the loop

Reference 35

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raw_fallback, observed 2026-08-14T04:48:37.863964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation f7ec7ca8-c43d-4f2c-947e-33e97d770f24 · outbound

This paper cites Efficient inference in fully connected crfs with gaussian edge potentials.

Semantic Correlation Promoted Shape-Variant Context for Segmentation Efficient inference in fully connected crfs with gaussian edge potentials

Reference 36

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raw_fallback, observed 2026-08-14T04:48:37.853484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:48:34.340333Z digest=sha256:2a172236b078d6f57c77df2f0a53fbf2e08d640b40c5ea4cbea60078bb871259

Observation 86f12815-cf6e-4348-a3b2-b982cbe3ab4a · outbound

This paper cites Imagenet classification with deep convolutional neural networks.

Semantic Correlation Promoted Shape-Variant Context for Segmentation Imagenet classification with deep convolutional neural networks

Reference 37

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unresolved
no resolver link, observed 2026-08-14T04:48:34.405198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:48:34.405198Z digest=sha256:a41165b30ea9418c646cb171ce51583e66fd8addd8a8d596a0f2044eafe146c7

Observation 55186a66-1274-42dc-b1cc-fc47b48bb597 · outbound

This paper cites Feature space optimization for semantic video segmentation.

Semantic Correlation Promoted Shape-Variant Context for Segmentation Feature space optimization for semantic video segmentation

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:48:37.758583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:48:34.409548Z digest=sha256:f9cc43093f7221163b1c407bc51c7556dfe385c83e4cc4d6d1fa7df285a22166

Observation 8da4b004-a178-40b0-a03e-8c16f9a3d82b · outbound

This paper cites Semantic object parsing with graph lstm.

Semantic Correlation Promoted Shape-Variant Context for Segmentation Semantic object parsing with graph lstm

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:48:37.617836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:48:34.413432Z digest=sha256:3a7d41dd0c8eb4ea735e3dda234a2070aa85862426e3cca2ffe12c92242c22db

Observation e33d7bc2-62a6-4e9a-a0a7-b38df615a9c8 · outbound

This paper cites Semantic object parsing with local-global long short-term memory.

Semantic Correlation Promoted Shape-Variant Context for Segmentation Semantic object parsing with local-global long short-term memory

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:48:37.607676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:48:34.417656Z digest=sha256:06fc5694aa3e44a7390ff479a513534cd5ce04fcdc3056c7e03bbedf6f363ccc

Observation d744d208-4d56-4e53-bb7d-bcbf55b7ed99 · outbound

This paper cites Dynamic- structured semantic propagation network.

Semantic Correlation Promoted Shape-Variant Context for Segmentation Dynamic- structured semantic propagation network

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:48:37.596957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:48:34.420581Z digest=sha256:93bb904d4de7af92084f246937db7eb27cc851f6b99ba7b33b1a173285773126

Observation c3a2545b-bee2-4413-b961-44ee7092c8d1 · outbound

This paper cites Multi-scale context intertwining for semantic segmentation.

Semantic Correlation Promoted Shape-Variant Context for Segmentation Multi-scale context intertwining for semantic segmentation

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-14T04:48:34.425117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:48:34.425117Z digest=sha256:9894939ce5fd1a238c693b06b9a08c8f8ff2d2a17f3675d77d320c86dba355c4

Observation 13e7125b-5fdd-4bda-a7e0-84e7c6ba13bd · outbound

This paper cites Refinenet: Multi-path refinement networks for high- resolution semantic segmentation.

Semantic Correlation Promoted Shape-Variant Context for Segmentation Refinenet: Multi-path refinement networks for high- resolution semantic segmentation

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:48:37.580107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:48:34.428405Z digest=sha256:89327f234b996fced20d7655bf46f300815d9e38d93d07e224c8e2b670fc264c

Observation 0f411673-132d-4941-8723-d353539fbca8 · outbound

This paper cites an unresolved cited work.

Semantic Correlation Promoted Shape-Variant Context for Segmentation Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-08-14T04:48:37.569265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:48:34.431079Z digest=sha256:b47c0fff7661ee1ed13cf10aa477ccda1d222024f0abec3d2ac5ec5041243659

Observation c46c0cb9-d5c1-4441-9f85-386edba37d51 · outbound

This paper cites Nonparametric scene parsing: Label transfer via dense scene alignment.

Semantic Correlation Promoted Shape-Variant Context for Segmentation Nonparametric scene parsing: Label transfer via dense scene alignment

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:48:37.527770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:48:34.434779Z digest=sha256:311cd04045f022405a7382eb750b4ee53b2ed399c0008031d458298234a5e417

Observation eb6bee52-d818-4e75-a506-457c1a8e6907 · outbound

This paper cites Sift flow: Dense correspondence across scenes and its applications.

Semantic Correlation Promoted Shape-Variant Context for Segmentation Sift flow: Dense correspondence across scenes and its applications

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:48:37.335612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:48:34.438714Z digest=sha256:696fdc0576802b2e1e006d7c0e1a3ec026a8b971c0e641f67eb37f2d69672bf1

Observation 6bfcbb6b-8b60-4601-8ff2-d2658d3a0867 · outbound

This paper cites Feature boosting network for 3d pose estimation.

Semantic Correlation Promoted Shape-Variant Context for Segmentation Feature boosting network for 3d pose estimation

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:48:37.205322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:48:34.446427Z digest=sha256:1e04943199b37a09a9327e380b036f0036d22e72e479918127f687f6ba87eb21

Observation 8ec8ff5b-a2a7-4f36-a6a8-fbf33a1bce68 · outbound

This paper cites Semantic image segmentation via deep parsing network.

Semantic Correlation Promoted Shape-Variant Context for Segmentation Semantic image segmentation via deep parsing network

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:48:37.194001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:48:34.450369Z digest=sha256:4422efbdfda8f0b933cb47e20c00392e5f3d9ac51c514b2f6fd94d7df4b565d2

Observation 81b61773-cb04-4b08-a23a-cf86e891622f · outbound

This paper cites Learning markov clustering networks for scene text detection.

Semantic Correlation Promoted Shape-Variant Context for Segmentation Learning markov clustering networks for scene text detection

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:48:37.184049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:48:34.455524Z digest=sha256:1197e4c1efb9ffbd6b4c334d4a5b151a550253d5a10ddcdefe263e062ba218b8

Observation 992febf4-22b8-4591-8dfd-092140e23be9 · outbound

This paper cites Towards robust curve text detection with conditional spatial expansion.

Semantic Correlation Promoted Shape-Variant Context for Segmentation Towards robust curve text detection with conditional spatial expansion

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:48:37.172997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:48:34.459169Z digest=sha256:2562865af505e71fea5909b99e8fec79e58fc3f918efb88d2969d5ff6b7a540f

Observation 05040ec7-5294-4a09-a664-e13cac1ceada · outbound

This paper cites Fully convolutional networks for semantic segmentation.

Semantic Correlation Promoted Shape-Variant Context for Segmentation Fully convolutional networks for semantic segmentation

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-14T04:48:34.506313Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:48:34.506313Z digest=sha256:0218e9b582b562af44b64e1aee68d5f22653e1103405c153e52cfe246f17986d

Observation 2b83853b-1e38-4f2d-9143-14810a3bda9d · outbound

This paper cites Are spatial and global constraints really necessary for segmentation? In ICCV, 2011.

Semantic Correlation Promoted Shape-Variant Context for Segmentation Are spatial and global constraints really necessary for segmentation? In ICCV, 2011

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:48:36.914516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:48:34.625553Z digest=sha256:e6a46653520742247414c0dbb82a237c3c405d57fc44e22db6930dcb2dad25a1

Observation e1fe88b6-5e06-4631-8a42-c7431a3a8f08 · outbound

This paper cites Feedforward semantic segmentation with zoom-out features.

Semantic Correlation Promoted Shape-Variant Context for Segmentation Feedforward semantic segmentation with zoom-out features

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:48:36.825543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:48:34.710468Z digest=sha256:b33d3f572c7fe3c425ee9877266db6ff7e1d9ba643876586b4943bc93ca02ccf

Observation b319f525-13e8-478c-ac47-e0ab17affe51 · outbound

This paper cites The role of context for object detection and semantic segmentation in the wild.

Semantic Correlation Promoted Shape-Variant Context for Segmentation The role of context for object detection and semantic segmentation in the wild

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-14T04:48:34.713599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:48:34.713599Z digest=sha256:48e5c30811470aec2ff06343c6d34782b4fee46725abb376924854d8a0fb9b53

Observation 9eb48a07-0bc6-4574-bab5-074b64d94a4d · outbound

This paper cites Learning deconvolution network for semantic segmentation.

Semantic Correlation Promoted Shape-Variant Context for Segmentation Learning deconvolution network for semantic segmentation

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:48:36.720863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:48:34.718690Z digest=sha256:d4610b38d72e4d23ec4e469fb99cf7464fcf7944118f32ea3b84e85af62f7414

Observation 0cb01754-c81f-4d92-9718-59df7881955d · outbound

This paper cites Large kernel matters – improve semantic segmentation by global convolutional network.

Semantic Correlation Promoted Shape-Variant Context for Segmentation Large kernel matters – improve semantic segmentation by global convolutional network

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:48:36.548832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:48:34.721793Z digest=sha256:554e88bf0b42d8bc34f7483fd756520a6ebe7f287c32334bb0ce03071582c9eb

Observation 1b7f9586-619b-4a44-9da5-1014ca0cc21c · outbound

This paper cites Recurrent convolu- tional neural networks for scene labeling.

Semantic Correlation Promoted Shape-Variant Context for Segmentation Recurrent convolu- tional neural networks for scene labeling

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:48:36.538093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:48:34.724591Z digest=sha256:b06a17018cbba1192d9f24a0afe0481ab553c32c9c4057a0541a41d0e4338ea1

Observation 0bda56b4-5420-450b-8fdd-52c973cd0e5d · outbound

This paper cites Imagenet large scale visual recognition challenge.

Semantic Correlation Promoted Shape-Variant Context for Segmentation Imagenet large scale visual recognition challenge

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-14T04:48:34.726933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:48:34.726933Z digest=sha256:466dffff91f5b1fb1631884152b877c3a4ce53be617ea1a98e85fb16b54cc516

Observation 7eb60104-2b0b-400d-9dd9-e1682a0fda46 · outbound

This paper cites Recursive context propagation network for semantic scene labeling.

Semantic Correlation Promoted Shape-Variant Context for Segmentation Recursive context propagation network for semantic scene labeling

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:48:36.521563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:48:34.730533Z digest=sha256:3255d1ce5ec061132fab7786ab8a3a4262ac9e8331757537f0d8d2a7fa91f2a1

Observation 395f01eb-b1b6-4596-8535-53e1ef5fd0a6 · outbound

This paper cites Fully convolutional networks for semantic segmentation.

Semantic Correlation Promoted Shape-Variant Context for Segmentation Fully convolutional networks for semantic segmentation

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:48:36.455915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:48:34.734878Z digest=sha256:c8d8fe1aae0270026c5bb5c214276623300da552e83ef0058c86af15bbd986b8

Observation 10209157-8a0e-4177-a6cf-6e4495ead889 · outbound

This paper cites Toward achieving robust low-level and high- level scene parsing.

Semantic Correlation Promoted Shape-Variant Context for Segmentation Toward achieving robust low-level and high- level scene parsing

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:48:36.236200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:48:34.740331Z digest=sha256:5bfa5da3a54abd5c2e85915ca318316126ed648f9e1bb07a6a2c0b6c42c691e2

Observation 842656dd-9e08-4933-b673-b6fc2210d7b4 · outbound

This paper cites Scene segmentation with dag-recurrent neural networks.

Semantic Correlation Promoted Shape-Variant Context for Segmentation Scene segmentation with dag-recurrent neural networks

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:48:36.226288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:48:34.743591Z digest=sha256:e2fcc772696160630f881ed9aed0aef9b0d6fb19461be055fc0ed1f2c7c6962d

Observation 0c3d756b-b132-46d9-b8fd-fc3b56b37b91 · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Semantic Correlation Promoted Shape-Variant Context for Segmentation Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 63

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unresolved
no resolver link, observed 2026-08-14T04:48:34.748490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:48:34.748490Z digest=sha256:c370f9b6d176896b91a85621dcee99b4e30f8906ce26dfe419707d2c747fb1af

Observation 931eaeac-19fe-4141-b907-ed3778e520b0 · outbound

This paper cites Going deeper with convolutions.

Semantic Correlation Promoted Shape-Variant Context for Segmentation Going deeper with convolutions

Reference 64

Resolution
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no resolver link, observed 2026-08-14T04:48:34.904784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:48:34.904784Z digest=sha256:a63acfc7616c39de4be3e136cba0fa0932be623c5edf9f3ba7a55e35a5a6cd80

Observation 3a90efed-97e9-445f-b1ae-f2574b1cb0b7 · outbound

This paper cites Aanet: Attribute attention network for person re-identification.

Semantic Correlation Promoted Shape-Variant Context for Segmentation Aanet: Attribute attention network for person re-identification

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:48:36.210541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:48:34.971276Z digest=sha256:499366b66f12d348dd64f4eb71bc88268ad7961d7aff56251f297e694b484e17

Observation 6590a6e2-8afd-4742-b2ee-d953be39a5a0 · outbound

This paper cites Finding things: Image parsing with regions and per-exemplar detectors.

Semantic Correlation Promoted Shape-Variant Context for Segmentation Finding things: Image parsing with regions and per-exemplar detectors

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:48:36.152581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:48:34.975777Z digest=sha256:612bd436cd8fdf5316cf2d247d4207f170193b6fdf4ff2dbe653c1ddcd4dd664

Observation 5067652f-afaf-4679-afde-fe78ca1989f8 · outbound

This paper cites Bridging Category-level and Instance-level Semantic Image Segmentation.

Semantic Correlation Promoted Shape-Variant Context for Segmentation Bridging Category-level and Instance-level Semantic Image Segmentation

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-14T04:48:34.981357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:48:34.981357Z digest=sha256:811fd2552c0d59b1a523a28dac1af2053c3fb84aab208d524c2481cf08a5f5a1

Observation 6ec2f1fc-217c-444e-8648-64e05cdbfe78 · outbound

This paper cites Zoom better to see clearer: Human and object parsing with hierarchical auto-zoom net.

Semantic Correlation Promoted Shape-Variant Context for Segmentation Zoom better to see clearer: Human and object parsing with hierarchical auto-zoom net

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:48:36.093358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:48:34.988209Z digest=sha256:de1e85097a90b9396b076878b1af23347fee22292de8e589b8ed7e84debeaaa0

Observation 4ae8b2ab-3d11-4ccc-af4f-d299a93e015b · outbound

This paper cites Combining the Best of Convolutional Layers and Recurrent Layers: A Hybrid Network for Semantic Segmentation.

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

Resolution
unresolved
no resolver link, observed 2026-08-14T04:48:34.991090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:48:34.991090Z digest=sha256:22115e8944a8e775d66d8906a39c56cb4a9db93bb3d46193fba5b557bbe3e991

Observation cec7420e-d11a-4738-96f0-05af710fc298 · outbound

This paper cites Context driven scene parsing with attention to rare classes.

Semantic Correlation Promoted Shape-Variant Context for Segmentation Context driven scene parsing with attention to rare classes

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:48:36.081835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:48:34.994212Z digest=sha256:46ef67db86b712965dc80197e6b35f595d50978655fd0f5e568715e273d6ed4a

Observation 31b826e3-0e51-494c-97eb-866e15f324be · outbound

This paper cites Denseaspp for semantic segmentation in street scenes.

Semantic Correlation Promoted Shape-Variant Context for Segmentation Denseaspp for semantic segmentation in street scenes

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:48:36.012285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:48:34.997284Z digest=sha256:1f2be77934f260ad9925439e896fe5bf33c4e00ba59feff4007cc359d39c0616

Observation 4bb659e7-f5f9-45bb-a8c5-1a9bc459317a · outbound

This paper cites Learning a discriminative feature network for semantic segmentation.

Semantic Correlation Promoted Shape-Variant Context for Segmentation Learning a discriminative feature network for semantic segmentation

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:48:35.933420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T04:48:35.000073Z digest=sha256:d0d493625030da8a5072c70fad5dfbe110876a35bc21d06e28db36cfd9c1ff2c

Observation 1bb6565f-e6b6-4d50-b67a-4ee2b828e6cd · outbound

This paper cites Multi-Scale Context Aggregation by Dilated Convolutions.

Semantic Correlation Promoted Shape-Variant Context for Segmentation Multi-Scale Context Aggregation by Dilated Convolutions

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-14T04:48:35.002941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:48:35.002941Z digest=sha256:440c5ab69f68cc98c7f951eae53354ffd3777443dc06d0a0d962e4d5fbacf26d

Observation 9b42f97a-0766-4aa6-9b47-aff144d56970 · outbound

This paper cites Context encoding for semantic segmentation.

Semantic Correlation Promoted Shape-Variant Context for Segmentation Context encoding for semantic segmentation

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:48:35.822120Z

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Observation b157e4ad-e84e-4fc4-a3a3-02595d306941 · outbound

This paper cites Pyramid scene parsing network.

Semantic Correlation Promoted Shape-Variant Context for Segmentation Pyramid scene parsing network

Reference 75

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unresolved
no resolver link, observed 2026-08-14T04:48:35.080634Z

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source=pdf_text observed=2026-08-14T04:48:35.080634Z digest=sha256:89c78d7fc3b5c74235f6dfb24aeeb0e478bdfb4a7d66a019f1c68c9345cad75e

Observation b6f0d098-a890-453f-af1f-8e0c4c848804 · outbound

This paper cites Psanet: Point-wise spatial attention network for scene parsing.

Semantic Correlation Promoted Shape-Variant Context for Segmentation Psanet: Point-wise spatial attention network for scene parsing

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:48:35.741750Z

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Observation 746d3337-2eee-4df4-b82b-8194d9a121c1 · outbound

This paper cites Conditional random fields as recurrent neural networks.

Semantic Correlation Promoted Shape-Variant Context for Segmentation Conditional random fields as recurrent neural networks

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:48:35.730786Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Pith citing papers

No inbound Pith citation observations are available.