Paper Citation Record · LEDGER

Where are the Masks: Instance Segmentation with Image-level Supervision

As of 12 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:1907.01430.

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

pith.paper-citation-record.v1
1907.01430 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-25T11:00:54.626141Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

44 of 44 outbound references displayed

verified exact2
verified fuzzy41
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8d7710c7-97b4-41d7-9a6f-101e8310b5f2 · outbound

This paper cites Learning pixel-level semantic afﬁnity with image-level supervision for weakly supervised semantic segmentation.

Where are the Masks: Instance Segmentation with Image-level Supervision Learning pixel-level semantic afﬁnity with image-level supervision for weakly supervised semantic segmentation

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T11:06:57.995605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9cc02bd5-1fc2-4e30-8223-acfc2ad4ce30 · outbound

This paper cites Multiscale combinatorial grouping.

Where are the Masks: Instance Segmentation with Image-level Supervision Multiscale combinatorial grouping

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T11:06:58.023131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation fd51a1c1-8731-4b5e-bfe8-057abd8cf191 · outbound

This paper cites Whatâ ˘A ´Zs the point: Semantic segmentation with point supervision.

Where are the Masks: Instance Segmentation with Image-level Supervision Whatâ ˘A ´Zs the point: Semantic segmentation with point supervision

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T11:06:58.026181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c8c8d3e4-6122-4e1e-8c88-f85f4990b5ed · outbound

This paper cites Weakly supervised deep detection networks.

Where are the Masks: Instance Segmentation with Image-level Supervision Weakly supervised deep detection networks

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T11:06:58.014207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 066d7a7c-cbab-4dba-87b9-ea2ec8e59edc · outbound

This paper cites YOLACT: Real-time Instance Segmentation.

Where are the Masks: Instance Segmentation with Image-level Supervision YOLACT: Real-time Instance Segmentation

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-25T11:05:40.435808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 43801894-f198-41fe-a179-788b7067b7a6 · outbound

This paper cites Masklab: Instance segmentation by reﬁning object detec- tion with semantic and direction features.

Where are the Masks: Instance Segmentation with Image-level Supervision Masklab: Instance segmentation by reﬁning object detec- tion with semantic and direction features

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T11:06:58.019945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation eecbcedc-0c90-4247-b25b-63d3f2d13221 · outbound

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

Where are the Masks: Instance Segmentation with Image-level Supervision Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T11:06:58.029107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 50db03aa-b719-4ca3-b9c2-30aa8f329496 · outbound

This paper cites Object counting and instance segmentation with image-level supervision.

Where are the Masks: Instance Segmentation with Image-level Supervision Object counting and instance segmentation with image-level supervision

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T11:06:58.044255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a9adf992-c1c9-4422-8dc3-9970d9e5fb91 · outbound

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

Where are the Masks: Instance Segmentation with Image-level Supervision The cityscapes dataset for semantic urban scene understanding

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T11:06:58.006062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9b2811a2-fce7-4cd7-877a-cc9f04f4f69d · outbound

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

Where are the Masks: Instance Segmentation with Image-level Supervision Boxsup: Exploiting bounding boxes to supervise convolutional networks for semantic segmentation

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T11:06:57.987391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5f8b9d47-5174-40fb-81c6-c3dd2651f057 · outbound

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

Where are the Masks: Instance Segmentation with Image-level Supervision Imagenet: A large-scale hierarchical image database

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T11:06:57.990154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6391d045-3f82-47e4-9d21-dde6aa7ecc1d · outbound

This paper cites The pascal visual object classes (voc) challenge.

Where are the Masks: Instance Segmentation with Image-level Supervision The pascal visual object classes (voc) challenge

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T11:06:57.981722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6887519b-0aa7-4967-be0d-eba958b569ba · outbound

This paper cites RetinaMask: Learning to predict masks improves state-of-the-art single-shot detection for free.

Where are the Masks: Instance Segmentation with Image-level Supervision RetinaMask: Learning to predict masks improves state-of-the-art single-shot detection for free

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-05-25T11:05:40.429981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 703ad6f8-9a65-46e1-b3df-85ff7044a759 · outbound

This paper cites Deep residual learning for image recognition.

Where are the Masks: Instance Segmentation with Image-level Supervision Deep residual learning for image recognition

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T11:06:57.970401Z

Source-reported events for the cited work

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Observation 980d7936-1c6f-406d-9ea3-0cb52c0ba5ab · outbound

This paper cites Mask r-cnn.

Where are the Masks: Instance Segmentation with Image-level Supervision Mask r-cnn

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T11:06:57.972633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c7d35240-9283-4617-8662-e291cc4fc29f · outbound

This paper cites What makes for ef- fective detection proposals? T-PAMI.

Where are the Masks: Instance Segmentation with Image-level Supervision What makes for ef- fective detection proposals? T-PAMI

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T11:06:57.975521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5758c492-b54e-4ad0-981c-2a068431933e · outbound

This paper cites Simple does it: Weakly supervised instance and semantic segmentation.

Where are the Masks: Instance Segmentation with Image-level Supervision Simple does it: Weakly supervised instance and semantic segmentation

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T11:06:57.979017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c8b56855-9d38-4d25-a27a-e87b1cc80714 · outbound

This paper cites Seed, expand and constrain: Three principles for weakly-supervised image segmentation.

Where are the Masks: Instance Segmentation with Image-level Supervision Seed, expand and constrain: Three principles for weakly-supervised image segmentation

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T11:06:57.965706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b421e0ca-3241-4578-b47c-36f51c61dbeb · outbound

This paper cites Konopczynski, Thorben Kröger, Lei Zheng, and Jürgen Hesser.

Where are the Masks: Instance Segmentation with Image-level Supervision Konopczynski, Thorben Kröger, Lei Zheng, and Jürgen Hesser

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T11:06:57.956171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 84803280-bcab-4da3-a879-bd8dc692af95 · outbound

This paper cites Analysis and optimization of loss functions for multiclass, top-k, and multilabel classiﬁcation.

Where are the Masks: Instance Segmentation with Image-level Supervision Analysis and optimization of loss functions for multiclass, top-k, and multilabel classiﬁcation

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T11:06:57.984470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e0064a4e-e631-4010-968b-97eb6a156924 · outbound

This paper cites Where are the blobs: Counting by localization with point supervision.

Where are the Masks: Instance Segmentation with Image-level Supervision Where are the blobs: Counting by localization with point supervision

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T11:06:57.993227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 57d20c50-afab-4233-a884-36da85af07ff · outbound

This paper cites Instance Segmentation with Point Supervision.

Where are the Masks: Instance Segmentation with Image-level Supervision Instance Segmentation with Point Supervision

Reference 22

Resolution: metadata mismatch; local_arxiv, observed 2026-05-25T11:05:40.441192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b51ec217-40cf-40a9-915d-a0b7fe48a272 · outbound

This paper cites Scribblesup: Scribble- supervised convolutional networks for semantic segmentation.

Where are the Masks: Instance Segmentation with Image-level Supervision Scribblesup: Scribble- supervised convolutional networks for semantic segmentation

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T11:06:57.951087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b8ee5ebf-bf6e-4d46-92ef-08338be482f8 · outbound

This paper cites Microsoft coco: Common objects in context.

Where are the Masks: Instance Segmentation with Image-level Supervision Microsoft coco: Common objects in context

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T11:06:57.953664Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 480a649e-99e1-4dba-8e4b-18f04009964c · outbound

This paper cites Feature pyramid networks for object detection.

Where are the Masks: Instance Segmentation with Image-level Supervision Feature pyramid networks for object detection

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T11:06:57.958506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 24dad8cf-aaa0-4692-b7b7-23a5e85cbd7f · outbound

This paper cites Fully convolutional networks for semantic segmentation.

Where are the Masks: Instance Segmentation with Image-level Supervision Fully convolutional networks for semantic segmentation

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T11:06:57.942447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2b063535-6ed3-45a3-af69-61ab37b96ee6 · outbound

This paper cites Convo- lutional oriented boundaries.

Where are the Masks: Instance Segmentation with Image-level Supervision Convo- lutional oriented boundaries

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T11:06:57.948122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4629bc0a-7f34-4492-a7e8-022caa0a94b4 · outbound

This paper cites maskrcnn-benchmark: Fast, mod- ular reference implementation of Instance Segmentation and Object Detec- tion algorithms in PyTorch.

Where are the Masks: Instance Segmentation with Image-level Supervision maskrcnn-benchmark: Fast, mod- ular reference implementation of Instance Segmentation and Object Detec- tion algorithms in PyTorch

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T11:06:57.945399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6f7a084d-4f18-415d-9c49-141c3345a2a2 · outbound

This paper cites From image-level to pixel-level labeling with convolutional networks.

Where are the Masks: Instance Segmentation with Image-level Supervision From image-level to pixel-level labeling with convolutional networks

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T11:06:57.939788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 25181cf5-1ce0-4cb4-acbd-e95bfd1166b1 · outbound

This paper cites Learning to segment object can- didates.

Where are the Masks: Instance Segmentation with Image-level Supervision Learning to segment object can- didates

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T11:06:57.967872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation deece4c4-15aa-4084-8207-4f7d85bda534 · outbound

This paper cites Learning to reﬁne object segments.

Where are the Masks: Instance Segmentation with Image-level Supervision Learning to reﬁne object segments

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T11:06:58.033954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 339af045-aba4-4e8a-a8ba-80d2ecca3867 · outbound

This paper cites Segmentation of medical images using adaptive region growing.

Where are the Masks: Instance Segmentation with Image-level Supervision Segmentation of medical images using adaptive region growing

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T11:06:58.036553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 036e65a1-b486-4a6f-a5bd-924165c3c89a · outbound

This paper cites Boosting object proposals: From pascal to coco.

Where are the Masks: Instance Segmentation with Image-level Supervision Boosting object proposals: From pascal to coco

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T11:06:58.000882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 823693ed-95e2-40a8-a461-6d68772fa0b0 · outbound

This paper cites Augmented feedback in semantic segmentation under image level supervision.

Where are the Masks: Instance Segmentation with Image-level Supervision Augmented feedback in semantic segmentation under image level supervision

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T11:06:58.039175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation fe08b1d3-9383-433a-9624-ce6642072f25 · outbound

This paper cites End-to-end instance segmentation with recurrent attention.

Where are the Masks: Instance Segmentation with Image-level Supervision End-to-end instance segmentation with recurrent attention

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T11:06:58.041920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f3a72c7c-dcdb-4e37-9e2e-797005edae7c · outbound

This paper cites Faster r-cnn: Towards real- time object detection with region proposal networks.

Where are the Masks: Instance Segmentation with Image-level Supervision Faster r-cnn: Towards real- time object detection with region proposal networks

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T11:06:57.998196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e751ad34-f50d-467c-b11c-11f6b1444e76 · outbound

This paper cites Recurrent instance segmen- tation.

Where are the Masks: Instance Segmentation with Image-level Supervision Recurrent instance segmen- tation

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T11:06:58.003417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c39a4224-0a30-429e-91c1-5b97987097ae · outbound

This paper cites Grad-cam: Visual explanations from deep networks via gradient-based localization.

Where are the Masks: Instance Segmentation with Image-level Supervision Grad-cam: Visual explanations from deep networks via gradient-based localization

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T11:06:58.008860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1284191d-f05c-4f39-8f67-2a90e5087c9f · outbound

This paper cites Multiple instance detection network with online instance classiﬁer reﬁnement.

Where are the Masks: Instance Segmentation with Image-level Supervision Multiple instance detection network with online instance classiﬁer reﬁnement

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T11:06:58.011418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 987c635f-d19c-43e8-bb75-0d1253693a6b · outbound

This paper cites Weakly supervised region proposal network and object de- tection.

Where are the Masks: Instance Segmentation with Image-level Supervision Weakly supervised region proposal network and object de- tection

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T11:06:58.017456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a6017e99-25d4-4762-9f38-3eaf42f23b14 · outbound

This paper cites Selective search for object recognition.

Where are the Masks: Instance Segmentation with Image-level Supervision Selective search for object recognition

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T11:06:58.031449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9cd10918-0ad5-4dd0-96b2-3a74bbd7d383 · outbound

This paper cites Learning deep features for discriminative localization.

Where are the Masks: Instance Segmentation with Image-level Supervision Learning deep features for discriminative localization

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T11:06:58.046827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 56b8308a-f42b-4431-a6cc-32930773f7f0 · outbound

This paper cites Weakly supervised instance segmentation using class peak response.

Where are the Masks: Instance Segmentation with Image-level Supervision Weakly supervised instance segmentation using class peak response

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T11:06:57.960901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation bb88d4ff-f019-4e94-a818-adfb02466bd9 · outbound

This paper cites Edge boxes: Locating object proposals from edges.

Where are the Masks: Instance Segmentation with Image-level Supervision Edge boxes: Locating object proposals from edges

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T11:06:57.963445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Pith citing papers

No inbound Pith citation observations are available.