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Paper Citation Record · LEDGER

SPGNet: Semantic Prediction Guidance for Scene Parsing

As of 16 August 2026, this Paper Citation Record lists 78 of 78 outbound references and 0 inbound Pith citation observations for arXiv:1908.09798.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
1908.09798 v1

Coverage vector

measured 78 of 78 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T11:06:43.215941Z

measured 78 of 78 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

78 of 78 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0552d092-1b95-4a5b-a9eb-18a981eeab67 · outbound

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

SPGNet: Semantic Prediction Guidance for Scene Parsing Gated feedback refinement network for dense image labeling

Reference 1

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Observation c154173c-01f2-4336-ae75-2175f42d618f · outbound

This paper cites 2d human pose estimation: New benchmark and state of the art analysis.

SPGNet: Semantic Prediction Guidance for Scene Parsing 2d human pose estimation: New benchmark and state of the art analysis

Reference 2

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Observation 259b388b-2c9e-411e-866b-62b4f648c7b5 · outbound

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

SPGNet: Semantic Prediction Guidance for Scene Parsing Segnet: A deep convolutional encoder-decoder architecture for image segmentation

Reference 3

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Observation 937cfdb5-2402-44f2-ad94-53dce0286c72 · outbound

This paper cites Loss maxpooling for semantic image segmentation.

SPGNet: Semantic Prediction Guidance for Scene Parsing Loss maxpooling for semantic image segmentation

Reference 4

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Observation 65ea9d41-564d-4dab-a1c8-0fa23fe2c153 · outbound

This paper cites Realtime multi-person 2d pose estimation using part affinity fields.

SPGNet: Semantic Prediction Guidance for Scene Parsing Realtime multi-person 2d pose estimation using part affinity fields

Reference 5

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Observation 6155d86a-9321-4e8d-9bad-97a2a1e486d0 · outbound

This paper cites Collins, Yukun Zhu, George Papandreou, Barret Zoph, Florian Schroff, Hartwig Adam, and Jonathon Shlens.

SPGNet: Semantic Prediction Guidance for Scene Parsing Collins, Yukun Zhu, George Papandreou, Barret Zoph, Florian Schroff, Hartwig Adam, and Jonathon Shlens

Reference 6

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Observation 6c4042f5-e182-4609-a868-e098f2655379 · outbound

This paper cites Semantic image segmen- tation with deep convolutional nets and fully connected crfs.

SPGNet: Semantic Prediction Guidance for Scene Parsing Semantic image segmen- tation with deep convolutional nets and fully connected crfs

Reference 7

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Observation 3c96e6f7-1548-410d-a357-e6b2a151cc10 · outbound

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

SPGNet: Semantic Prediction Guidance for Scene Parsing Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolu- tion, and fully connected crfs

Reference 8

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Observation 27b1428e-db93-41fa-9ddc-edc1dfac6895 · outbound

This paper cites Rethinking Atrous Convolution for Semantic Image Segmentation.

SPGNet: Semantic Prediction Guidance for Scene Parsing Rethinking Atrous Convolution for Semantic Image Segmentation

Reference 9

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Observation 53006e6d-7f49-493e-961a-b4b499c18e02 · outbound

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

SPGNet: Semantic Prediction Guidance for Scene Parsing Attention to scale: Scale-aware semantic im- age segmentation

Reference 10

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Observation b860fdcb-4e71-4666-aea8-20db2b169738 · outbound

This paper cites Encoder-decoder with atrous separable convolution for semantic image segmentation.

SPGNet: Semantic Prediction Guidance for Scene Parsing Encoder-decoder with atrous separable convolution for semantic image segmentation

Reference 11

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Observation 52e16129-7ebf-408e-b67c-1e341c022297 · outbound

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

SPGNet: Semantic Prediction Guidance for Scene Parsing Detect what you can: De- tecting and representing objects using holistic models and body parts

Reference 12

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Observation 429fbab3-ab3e-4daa-8030-7590a3c4c664 · outbound

This paper cites Aˆ 2-nets: Double attention networks.

SPGNet: Semantic Prediction Guidance for Scene Parsing Aˆ 2-nets: Double attention networks

Reference 13

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Observation 868acc13-0cd1-41da-add7-c6b652505952 · outbound

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

SPGNet: Semantic Prediction Guidance for Scene Parsing The cityscapes dataset for semantic urban scene understanding

Reference 14

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Observation be18019b-226c-4f4e-a2cc-a958c59a151c · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

SPGNet: Semantic Prediction Guidance for Scene Parsing Imagenet: A large-scale hierarchical image database

Reference 15

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Observation f4f014b4-2741-462f-9147-3937bef3ae9e · outbound

This paper cites Everingham, L.

SPGNet: Semantic Prediction Guidance for Scene Parsing Everingham, L

Reference 16

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Source-reported events for the cited work

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Observation d1212df9-fdd6-4e59-b569-9d9c28272572 · outbound

This paper cites Weakly and Semi Supervised Human Body Part Parsing via Pose-Guided Knowledge Transfer.

SPGNet: Semantic Prediction Guidance for Scene Parsing Weakly and Semi Supervised Human Body Part Parsing via Pose-Guided Knowledge Transfer

Reference 17

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Observation 4adfd29d-94cb-435c-a6fd-733263b099a4 · outbound

This paper cites Dual attention network for scene segmentation.

SPGNet: Semantic Prediction Guidance for Scene Parsing Dual attention network for scene segmentation

Reference 18

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Observation 52069193-4cf4-4184-a0b2-af9b9fc33ece · outbound

This paper cites Stacked deconvolutional network for se- mantic segmentation.

SPGNet: Semantic Prediction Guidance for Scene Parsing Stacked deconvolutional network for se- mantic segmentation

Reference 19

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Observation c9bd4f07-a525-4547-8fbc-0444f4e61c13 · outbound

This paper cites Deep residual learning for image recognition.

SPGNet: Semantic Prediction Guidance for Scene Parsing Deep residual learning for image recognition

Reference 20

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Observation 7c221331-781c-454a-b802-e3d9f2b31dab · outbound

This paper cites Zemel, and Miguel ´A.

SPGNet: Semantic Prediction Guidance for Scene Parsing Zemel, and Miguel ´A

Reference 21

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Source-reported events for the cited work

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Observation 5b88eae8-afd2-4247-998a-71b556d43120 · outbound

This paper cites A real-time algorithm for signal analysis with the help of the wavelet transform.

SPGNet: Semantic Prediction Guidance for Scene Parsing A real-time algorithm for signal analysis with the help of the wavelet transform

Reference 22

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Observation 8613eaa2-1016-40c2-b6b6-61492c492253 · outbound

This paper cites Relation networks for object detection.

SPGNet: Semantic Prediction Guidance for Scene Parsing Relation networks for object detection

Reference 23

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Observation e88f1e13-7171-4c91-91f2-2965c4707d98 · outbound

This paper cites Gather-excite: Exploiting feature context in convo- lutional neural networks.

SPGNet: Semantic Prediction Guidance for Scene Parsing Gather-excite: Exploiting feature context in convo- lutional neural networks

Reference 24

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Observation a78842bd-c06f-410e-8185-f2824c798e86 · outbound

This paper cites Squeeze-and-excitation net- works.

SPGNet: Semantic Prediction Guidance for Scene Parsing Squeeze-and-excitation net- works

Reference 25

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Observation f0d34ac6-ab35-4065-ba70-8a75fceca4e0 · outbound

This paper cites Ccnet: Criss-cross attention for semantic segmentation.

SPGNet: Semantic Prediction Guidance for Scene Parsing Ccnet: Criss-cross attention for semantic segmentation

Reference 26

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Observation 8d3f6db2-55ac-40ee-8797-1467c7e826d3 · outbound

This paper cites Geometry-aware dis- tillation for indoor semantic segmentation.

SPGNet: Semantic Prediction Guidance for Scene Parsing Geometry-aware dis- tillation for indoor semantic segmentation

Reference 27

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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 e3a06f08-8b2c-46a2-96c6-6aa4da9f91f4 · outbound

This paper cites Multi-scale structure-aware network for human pose estimation.

SPGNet: Semantic Prediction Guidance for Scene Parsing Multi-scale structure-aware network for human pose estimation

Reference 28

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Observation d308cdbd-5a4b-4236-bda6-0676bb5b23b0 · outbound

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

SPGNet: Semantic Prediction Guidance for Scene Parsing Recurrent scene parsing with perspective understanding in the loop

Reference 29

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Source-reported events for the cited work

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Observation 5fce9563-71e2-40f7-93f8-00e405dcb34b · outbound

This paper cites Imagenet classification with deep convolutional neural net- works.

SPGNet: Semantic Prediction Guidance for Scene Parsing Imagenet classification with deep convolutional neural net- works

Reference 30

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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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Observation 2060ead0-6420-4415-807e-c724715251b6 · outbound

This paper cites What, where and how many? com- bining object detectors and crfs.

SPGNet: Semantic Prediction Guidance for Scene Parsing What, where and how many? com- bining object detectors and crfs

Reference 31

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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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Observation db9999fb-5b68-4b20-a9ef-38c19062e18f · outbound

This paper cites Backpropagation applied to handwrit- ten zip code recognition.Neural computation, 1(4):541–551,.

SPGNet: Semantic Prediction Guidance for Scene Parsing Backpropagation applied to handwrit- ten zip code recognition.Neural computation, 1(4):541–551,

Reference 32

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 16cad555-ceea-4dd7-86ee-28839a0d96a2 · outbound

This paper cites Rethinking on Multi-Stage Networks for Human Pose Estimation.

SPGNet: Semantic Prediction Guidance for Scene Parsing Rethinking on Multi-Stage Networks for Human Pose Estimation

Reference 33

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Unavailable: canonical work link unavailable.

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Observation f12d365a-0a86-4849-a32c-05d52cce6b99 · outbound

This paper cites Not all pixels are equal: Difficulty-aware se- mantic segmentation via deep layer cascade.

SPGNet: Semantic Prediction Guidance for Scene Parsing Not all pixels are equal: Difficulty-aware se- mantic segmentation via deep layer cascade

Reference 34

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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 e092ff80-31f0-4d3c-90ad-c0571a6058db · outbound

This paper cites Interpretable structure- evolving lstm.

SPGNet: Semantic Prediction Guidance for Scene Parsing Interpretable structure- evolving lstm

Reference 35

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raw_fallback, observed 2026-08-14T11:06:44.098413Z

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=2026-08-14T11:06:42.988235Z digest=sha256:aec4ef7010ef1fe4d32686e9f0975fab10418497cd110030a9a97f5e7d844541

Observation 18e9074a-46ed-4b6e-91b6-1292ee8109bb · outbound

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

SPGNet: Semantic Prediction Guidance for Scene Parsing Refinenet: Multi-path refinement networks for high- resolution semantic segmentation

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:06:44.081141Z

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=2026-08-14T11:06:42.993236Z digest=sha256:2c13a947eaa73352fab932edb270c8b38c42bfe8aee0f57b2b9a0a2f448e6a93

Observation bced3c96-ea24-4578-b319-ef684bc81560 · outbound

This paper cites Feature pyramid networks for object detection.

SPGNet: Semantic Prediction Guidance for Scene Parsing Feature pyramid networks for object detection

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:06:44.063402Z

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=2026-08-14T11:06:42.998727Z digest=sha256:d31d7e1138bb45cff159554835858b46a76de6dc7ba26c72c316c32c5b1a7325

Observation 3399a244-b835-4677-8312-c292bd5caeea · outbound

This paper cites Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation.

SPGNet: Semantic Prediction Guidance for Scene Parsing Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-14T11:06:43.003288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T11:06:43.003288Z digest=sha256:d61bf8737ca06254a06f22d2a9fba02a41b6587aae83673f2b479fdcf5cebf42

Observation 5e0691de-1a59-4878-9bae-21a1ba903c75 · outbound

This paper cites ParseNet: Looking Wider to See Better.

SPGNet: Semantic Prediction Guidance for Scene Parsing ParseNet: Looking Wider to See Better

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-14T11:06:43.010297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T11:06:43.010297Z digest=sha256:fe23b49e57a7a3767b83819cc443202fae0a228f2d1db71840cf7fec26cba3a3

Observation a1d3c8c8-b6c1-451e-8436-b3ceb04a474b · outbound

This paper cites Fully convolutional networks for semantic segmentation.

SPGNet: Semantic Prediction Guidance for Scene Parsing Fully convolutional networks for semantic segmentation

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:06:44.044989Z

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=2026-08-14T11:06:43.016098Z digest=sha256:2ba3ec47b54c548b9f6bd8a327eb074a72c099580cd108a7aea27615db132b39

Observation 24c33177-d7b5-46c7-af90-a346a720dc15 · outbound

This paper cites Associa- tive embedding: End-to-end learning for joint detection and grouping.

SPGNet: Semantic Prediction Guidance for Scene Parsing Associa- tive embedding: End-to-end learning for joint detection and grouping

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:06:44.027160Z

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=2026-08-14T11:06:43.021707Z digest=sha256:b7aa8df31d8ed3dab1099d1cd14303b0f5f306c76addfdc333cf2c277e2e4550

Observation aa38825f-ef81-4f69-9f93-5d36b31d481e · outbound

This paper cites Stacked hour- glass networks for human pose estimation.

SPGNet: Semantic Prediction Guidance for Scene Parsing Stacked hour- glass networks for human pose estimation

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:06:44.009823Z

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=2026-08-14T11:06:43.027033Z digest=sha256:8de171c6c24e8cfab93f32991ee33582b451a9d2945ae3591e8b586e103560b3

Observation 3602b613-eeec-4891-9057-9976be5908de · outbound

This paper cites Learning deconvolution network for semantic segmentation.

SPGNet: Semantic Prediction Guidance for Scene Parsing Learning deconvolution network for semantic segmentation

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:06:43.991131Z

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=2026-08-14T11:06:43.032053Z digest=sha256:56e9e875fdb4a8619c76e0400f35afe7de6effcf3ebfdc36e01e971e4d2f3b82

Observation 272ec843-12e1-40bc-9039-3ce1fd586d5b · outbound

This paper cites Modeling local and global deformations in deep learning: Epitomic convolution, multiple instance learning, and sliding window detection.

SPGNet: Semantic Prediction Guidance for Scene Parsing Modeling local and global deformations in deep learning: Epitomic convolution, multiple instance learning, and sliding window detection

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:06:43.970966Z

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=2026-08-14T11:06:43.037037Z digest=sha256:fe2d3e5bc759fd5bf8dc0393cf41183f99c6f0dcbdf04c30107226f6f7605fa1

Observation 897a9e46-3328-4105-b251-6cbe1912f1b8 · outbound

This paper cites Large kernel matters–improve semantic segmenta- tion by global convolutional network.

SPGNet: Semantic Prediction Guidance for Scene Parsing Large kernel matters–improve semantic segmenta- tion by global convolutional network

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:06:43.953599Z

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=2026-08-14T11:06:43.042276Z digest=sha256:454075d02033c26ccbcbdd6dd257423d361291c0fb59a73acd05c3e49d6f3292

Observation 083b33d9-1893-46c1-8941-d30fcf2599c3 · outbound

This paper cites Full-resolution residual networks for seman- tic segmentation in street scenes.

SPGNet: Semantic Prediction Guidance for Scene Parsing Full-resolution residual networks for seman- tic segmentation in street scenes

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:06:43.937607Z

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=2026-08-14T11:06:43.047313Z digest=sha256:e071d689b8e988f7c61dba1c5e7e488040974330533b37c8e3558bde3f85b6cf

Observation d6bb596d-4732-4f38-b582-97709b9e21f1 · outbound

This paper cites Seamless scene segmentation.

SPGNet: Semantic Prediction Guidance for Scene Parsing Seamless scene segmentation

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:06:43.920206Z

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=2026-08-14T11:06:43.051767Z digest=sha256:ab0a5a0640a3e572a28508483ce5f73b97a84c7a4d932ff75b0b4f554ff66912

Observation 0005ccaa-9689-46e9-9589-3caf82bd608d · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation.

SPGNet: Semantic Prediction Guidance for Scene Parsing U-net: Convolutional networks for biomedical image segmentation

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:06:43.901343Z

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=2026-08-14T11:06:43.057871Z digest=sha256:0ca23b9342cc60e865e4ec9fb2a62374469d028ccba8f0c837140e6ceeeed980

Observation 8deb1132-f003-43d2-8c32-56553f9222a0 · outbound

This paper cites In-place activated batchnorm for memory-optimized training of dnns.

SPGNet: Semantic Prediction Guidance for Scene Parsing In-place activated batchnorm for memory-optimized training of dnns

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:06:43.880892Z

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=2026-08-14T11:06:43.062639Z digest=sha256:74c2e1faf12e08358b7a0744168e9216d2b480ef50b2ea6c2c817422ac856d28

Observation bbce0534-913a-4e92-8b02-ec9a3a8f04c1 · outbound

This paper cites OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks.

SPGNet: Semantic Prediction Guidance for Scene Parsing OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-14T11:06:43.066915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T11:06:43.066915Z digest=sha256:c28efa8c2c2f407f32c0943fc1a908cae892fa329b4b584299b6136765d589ef

Observation f2aa629e-388a-4fc7-bf0f-7d98b4763b18 · outbound

This paper cites Stacked U-Nets: A No-Frills Approach to Natural Image Segmentation.

SPGNet: Semantic Prediction Guidance for Scene Parsing Stacked U-Nets: A No-Frills Approach to Natural Image Segmentation

Reference 51

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unresolved
no resolver link, observed 2026-08-14T11:06:43.073761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T11:06:43.073761Z digest=sha256:4c8e51c12e7c3ff4d6f520fb8759c7b1b485f66c92bb9ecc9aa6d0b7aa6b3fbf

Observation 6fc13bc3-889c-4965-9e45-57a72087756d · outbound

This paper cites Very deep convo- lutional networks for large-scale image recognition.

SPGNet: Semantic Prediction Guidance for Scene Parsing Very deep convo- lutional networks for large-scale image recognition

Reference 52

Resolution
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no resolver link, observed 2026-08-14T11:06:43.079623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T11:06:43.079623Z digest=sha256:0c85a1d6c5ead9b12a1e292e9f07c8a45d8c34a77c24da93718a24ea09b79e6e

Observation 64d6d9cd-afe4-442a-b5fc-65ed8b823d7a · outbound

This paper cites SPG-Net: Segmentation Prediction and Guidance Network for Image Inpainting.

SPGNet: Semantic Prediction Guidance for Scene Parsing SPG-Net: Segmentation Prediction and Guidance Network for Image Inpainting

Reference 53

Resolution
verified exact
local_arxiv, observed 2026-08-14T11:06:43.301509Z

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=2026-08-14T11:06:43.084626Z digest=sha256:9e282f2add43c4a023638cf881469b68369c43132514835f036f02ab35d9a5c9

Observation 50cce468-ba94-49d1-972e-a9048b1fa883 · outbound

This paper cites Going deeper with convolutions.

SPGNet: Semantic Prediction Guidance for Scene Parsing Going deeper with convolutions

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:06:43.850377Z

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=2026-08-14T11:06:43.090998Z digest=sha256:12599ebb83914d8202297f62f43d3f6c10f4797642cc06c9c28dc70c6ef519b9

Observation eaf65b0a-8483-49e0-8aa0-54381179002b · outbound

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

SPGNet: Semantic Prediction Guidance for Scene Parsing Finding things: Image parsing with regions and per-exemplar detectors

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:06:43.832958Z

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=2026-08-14T11:06:43.096851Z digest=sha256:9a4c6f43a56e6f4bb565a3f0981911422a57a9881c121582180f3296ea9e7b42

Observation f30e0c0b-51a3-42c0-8603-d31edf14d1cb · outbound

This paper cites Image parsing: Unifying segmentation, detec- tion, and recognition.

SPGNet: Semantic Prediction Guidance for Scene Parsing Image parsing: Unifying segmentation, detec- tion, and recognition

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:06:43.815056Z

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=2026-08-14T11:06:43.102635Z digest=sha256:0c9e3b6f009d2601624a38da5e34e5f60d0619a5ae4ff72a98a08a48b9c17ef0

Observation 5955b628-8257-4dac-965e-6319456036b5 · outbound

This paper cites Attention is all you need.

SPGNet: Semantic Prediction Guidance for Scene Parsing Attention is all you need

Reference 57

Resolution
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raw_fallback, observed 2026-08-14T11:06:43.794301Z

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=2026-08-14T11:06:43.108003Z digest=sha256:7a93ceb960935a14553ab8a3bebdf22349edbff2c0143c5559bc62c4aef53665

Observation caed67ea-232b-4ee9-b821-21d6760f54a9 · outbound

This paper cites Understanding convolution for semantic segmentation.

SPGNet: Semantic Prediction Guidance for Scene Parsing Understanding convolution for semantic segmentation

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:06:43.773983Z

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=2026-08-14T11:06:43.112994Z digest=sha256:f2f69cb667b394f52044b75fe5a19d98c49640bf180efaeedf6a96bff5060416

Observation 149b0464-76ad-441d-8624-4c7d9a3bf190 · outbound

This paper cites A stagewise refinement model for detecting salient objects in images.

SPGNet: Semantic Prediction Guidance for Scene Parsing A stagewise refinement model for detecting salient objects in images

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:06:43.751222Z

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=2026-08-14T11:06:43.117885Z digest=sha256:aec83ae3cd1ba75cfba8e06184eec5c3297747a94b93b2c67363b02163b80332

Observation 432496b8-2d6c-4d6e-bad7-08e81cf8a272 · outbound

This paper cites Non-local neural networks.

SPGNet: Semantic Prediction Guidance for Scene Parsing Non-local neural networks

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:06:43.728952Z

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=2026-08-14T11:06:43.122900Z digest=sha256:21a42f547f4c79d13cbbbf3c1b2394b3da9d8f70510059cc16fc3c3d1689ea93

Observation 45aef46b-8604-47ea-abea-290052bd91d2 · outbound

This paper cites Convolutional pose machines.

SPGNet: Semantic Prediction Guidance for Scene Parsing Convolutional pose machines

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:06:43.705009Z

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=2026-08-14T11:06:43.128218Z digest=sha256:b1f499dbcb0d373572db7538244d1ff21310cd060ad2156e2c1885e3547fa7f1

Observation 2c7b3654-e845-4f7f-a786-bcfe57b9f51c · outbound

This paper cites The devil is in the decoder: Classification, regression and gans.

SPGNet: Semantic Prediction Guidance for Scene Parsing The devil is in the decoder: Classification, regression and gans

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:06:43.685799Z

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=2026-08-14T11:06:43.134742Z digest=sha256:261c1f0db0a18b072a121a6a8cc8ef95eeb0d8cfc62db9c5289e10711fb81e72

Observation 68cb2644-0bdf-4c78-81cc-d537eb3628a2 · outbound

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

SPGNet: Semantic Prediction Guidance for Scene Parsing Bridging Category-level and Instance-level Semantic Image Segmentation

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-14T11:06:43.140196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T11:06:43.140196Z digest=sha256:dbc6a984179c6e94c8c88f97efd50b74704f1ff8928eeadcd4e40ebe9db5fe45

Observation 71e18f68-1562-46b6-9849-7c8eadd36182 · outbound

This paper cites Joint multi-person pose estimation and semantic part seg- mentation.

SPGNet: Semantic Prediction Guidance for Scene Parsing Joint multi-person pose estimation and semantic part seg- mentation

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:06:43.666640Z

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=2026-08-14T11:06:43.145867Z digest=sha256:2649fc2dd4954e1662030ee4d35f6b6b030d7a8a540f20969014fbb3fee27d9d

Observation 9536db5f-f134-4da7-a2ec-8cdc7b4e9321 · outbound

This paper cites Unified perceptual parsing for scene understand- ing.

SPGNet: Semantic Prediction Guidance for Scene Parsing Unified perceptual parsing for scene understand- ing

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:06:43.649407Z

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=2026-08-14T11:06:43.151525Z digest=sha256:e13a51df9827740dde413ccb25e32e20659f8c5005a0abc683c1b8766a4e1b54

Observation 9a37b72f-05db-4703-a998-200e27a43e6c · outbound

This paper cites Denseaspp for semantic segmentation in street scenes.

SPGNet: Semantic Prediction Guidance for Scene Parsing Denseaspp for semantic segmentation in street scenes

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:06:43.633635Z

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=2026-08-14T11:06:43.156680Z digest=sha256:d1c0b7143f9fa07d478ebe978614cac7066651f07eae800418ee5562ebce699b

Observation 3144ddb5-5bfd-41f5-ab2d-85853014ecd8 · outbound

This paper cites DeeperLab: Single-Shot Image Parser.

SPGNet: Semantic Prediction Guidance for Scene Parsing DeeperLab: Single-Shot Image Parser

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-14T11:06:43.161783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T11:06:43.161783Z digest=sha256:7a6b81a96b72c9e8114aea33177b476a30f65f6516f3b821b5d04fe895f46f8b

Observation ed25f7fd-fcf2-4be1-97ab-76ae666fe229 · outbound

This paper cites Learning feature pyramids for human pose estimation.

SPGNet: Semantic Prediction Guidance for Scene Parsing Learning feature pyramids for human pose estimation

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:06:43.615730Z

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=2026-08-14T11:06:43.167000Z digest=sha256:3124f3a82fbd1735c01377b6a737cc330f910d192fa1a92514c2cf255fc006a3

Observation 3fb2a490-8024-4a05-b152-4825eaec99a2 · outbound

This paper cites Describing the scene as a whole: Joint object detection, scene classification and semantic segmentation.

SPGNet: Semantic Prediction Guidance for Scene Parsing Describing the scene as a whole: Joint object detection, scene classification and semantic segmentation

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:06:43.598064Z

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=2026-08-14T11:06:43.172840Z digest=sha256:dbedb5289f33473a9ddae6213f60aa93eb177cd0d57f442a3135cb0a70f01843

Observation 99ee4cfb-8e20-4d5c-8bda-572ca21d4927 · outbound

This paper cites Bisenet: Bilateral segmenta- tion network for real-time semantic segmentation.

SPGNet: Semantic Prediction Guidance for Scene Parsing Bisenet: Bilateral segmenta- tion network for real-time semantic segmentation

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:06:43.580390Z

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=2026-08-14T11:06:43.178038Z digest=sha256:dbfc89544404d33ff6cfed5a3e0fda63d637fcc4b5a9ccd532b9f66141e57df7

Observation 12653c1b-4c90-48d0-8ded-c864361b1182 · outbound

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

SPGNet: Semantic Prediction Guidance for Scene Parsing Learning a discriminative feature network for semantic segmentation

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:06:43.561439Z

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 0a0eb702-10f0-4cf9-a633-b3b2bbbc7369 · outbound

This paper cites Con- text encoding for semantic segmentation.

SPGNet: Semantic Prediction Guidance for Scene Parsing Con- text encoding for semantic segmentation

Reference 72

Resolution
verified fuzzy
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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 6ec02bae-c236-4ff7-bcef-0546ddce5e27 · outbound

This paper cites Scale-adaptive convolutions for scene pars- ing.

SPGNet: Semantic Prediction Guidance for Scene Parsing Scale-adaptive convolutions for scene pars- ing

Reference 73

Resolution
verified fuzzy
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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 d5435bf1-a559-4da5-9764-b606c84bd5cf · outbound

This paper cites Exfuse: Enhancing feature fusion for semantic segmentation.

SPGNet: Semantic Prediction Guidance for Scene Parsing Exfuse: Enhancing feature fusion for semantic segmentation

Reference 74

Resolution
verified fuzzy
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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 acd83ef1-5e92-413d-ac9d-691c2248cdd0 · outbound

This paper cites Pyramid scene parsing network.

SPGNet: Semantic Prediction Guidance for Scene Parsing Pyramid scene parsing network

Reference 75

Resolution
verified fuzzy
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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 ad70780d-9d9c-4c92-986f-4202af5c00e0 · outbound

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

SPGNet: Semantic Prediction Guidance for Scene Parsing Psanet: Point-wise spatial attention network for scene parsing

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:06:43.475284Z

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 6441677d-8d9e-4b6b-abdd-949f1e76dc20 · outbound

This paper cites Scene parsing through ade20k dataset.

SPGNet: Semantic Prediction Guidance for Scene Parsing Scene parsing through ade20k dataset

Reference 77

Resolution
verified fuzzy
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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 9ac824cf-e630-4512-97e7-eddea446b249 · outbound

This paper cites an unresolved cited work.

SPGNet: Semantic Prediction Guidance for Scene Parsing Unresolved cited work

Reference 78

Resolution
unresolved
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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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Pith citing papers

No inbound Pith citation observations are available.