Soft Self-labeling and Potts Relaxations for Weakly-Supervised Segmentation | Paper Citation Record

Observation a130653e-d2c5-4aec-a7eb-99688aa958c9 · outbound

This paper cites In 2005 IEEE computer society conference on com- puter vision and pattern recognition (CVPR’05), pages 763–.

Soft Self-labeling and Potts Relaxations for Weakly-Supervised Segmentation In 2005 IEEE computer society conference on com- puter vision and pattern recognition (CVPR’05), pages 763–

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:53:18.190994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ee0e81e2-9137-4806-bb4d-b45a434b77c7 · outbound

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

Soft Self-labeling and Potts Relaxations for Weakly-Supervised Segmentation Learning pixel-level semantic affinity with image-level supervision for weakly supervised semantic segmentation

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:53:18.006610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation bb971e42-4597-4254-807a-90877050e951 · outbound

This paper cites Weakly su- pervised learning of instance segmentation with inter-pixel relations.

Soft Self-labeling and Potts Relaxations for Weakly-Supervised Segmentation Weakly su- pervised learning of instance segmentation with inter-pixel relations

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:53:17.805922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e9ffa37f-7f78-4b1e-a582-c1dd039bf9b5 · outbound

This paper cites Single-stage seman- tic segmentation from image labels.

Soft Self-labeling and Potts Relaxations for Weakly-Supervised Segmentation Single-stage seman- tic segmentation from image labels

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:53:17.621168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 49ad9bdc-6ebb-445c-8e19-94ef0d439420 · outbound

This paper cites Convex optimiza- tion.

Soft Self-labeling and Potts Relaxations for Weakly-Supervised Segmentation Convex optimiza- tion

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:53:17.490437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d91d4828-46b9-4bb7-af21-60c6d19134de · outbound

This paper cites Computing geodesics and minimal surfaces via graph cuts.

Soft Self-labeling and Potts Relaxations for Weakly-Supervised Segmentation Computing geodesics and minimal surfaces via graph cuts

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:53:17.329856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation dfee4eb1-aff7-4485-9940-32d1e42f73cd · outbound

This paper cites Interactive graph cuts for opti- mal boundary & region segmentation of objects in nd images.

Soft Self-labeling and Potts Relaxations for Weakly-Supervised Segmentation Interactive graph cuts for opti- mal boundary & region segmentation of objects in nd images

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:53:17.197604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 14c1a40a-bfa5-48d8-96eb-7bc09740213a · outbound

This paper cites Unsu- pervised classifiers, mutual information and’phantom targets.

Soft Self-labeling and Potts Relaxations for Weakly-Supervised Segmentation Unsu- pervised classifiers, mutual information and’phantom targets

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:53:17.045354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ce1d16dd-0c95-4090-9395-de50d8fbcac4 · outbound

This paper cites A first-order primal- dual algorithm for convex problems with applications to imag- ing.

Soft Self-labeling and Potts Relaxations for Weakly-Supervised Segmentation A first-order primal- dual algorithm for convex problems with applications to imag- ing

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:53:16.889588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f9b1dc27-83a1-44b4-a6a5-3cc511b2b899 · outbound

This paper cites Seminar learning for click-level weakly supervised semantic segmentation.

Soft Self-labeling and Potts Relaxations for Weakly-Supervised Segmentation Seminar learning for click-level weakly supervised semantic segmentation

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:53:16.729215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f1181ea7-3134-46f6-82a6-3a316e20ac90 · outbound

This paper cites Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs.

Soft Self-labeling and Potts Relaxations for Weakly-Supervised Segmentation Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T20:53:08.066354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a12fa95e-d316-4607-b6e0-ab050a6a7e4c · outbound

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

Soft Self-labeling and Potts Relaxations for Weakly-Supervised Segmentation Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolu- tion, and fully connected crfs

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:53:16.586547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a9f27af7-dc0d-4608-a782-ba1d6212b337 · outbound

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

Soft Self-labeling and Potts Relaxations for Weakly-Supervised Segmentation Encoder-decoder with atrous separable convolution for semantic image segmentation

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:53:16.445666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation cf669066-93f5-45d1-b30b-4be01512e701 · outbound

This paper cites The cityscapes dataset for se- mantic urban scene understanding.

Soft Self-labeling and Potts Relaxations for Weakly-Supervised Segmentation The cityscapes dataset for se- mantic urban scene understanding

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:53:16.262103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8e2574a3-25d4-4ee4-ae18-3a63527dbc37 · outbound

This paper cites Power watershed: A unifying graph-based optimiza- tion framework.

Soft Self-labeling and Potts Relaxations for Weakly-Supervised Segmentation Power watershed: A unifying graph-based optimiza- tion framework

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:53:16.080189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 7b4d1043-e4a4-46f8-b600-432e4b7bb714 · outbound

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

Soft Self-labeling and Potts Relaxations for Weakly-Supervised Segmentation Imagenet: A large-scale hierarchical image database

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T20:53:08.609541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da431c9b-2e03-4fe6-9ff7-1e403b6d8c7c · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Soft Self-labeling and Potts Relaxations for Weakly-Supervised Segmentation An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T20:53:08.678976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0afdd1ee-f456-4a8a-8c21-ac2d430f4b6a · outbound

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

Soft Self-labeling and Potts Relaxations for Weakly-Supervised Segmentation The pascal visual object classes (voc) challenge

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:53:15.841413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a87c3c38-a60b-4b7d-8ba7-215f7d17a9d9 · outbound

This paper cites Random walks for image segmentation.

Soft Self-labeling and Potts Relaxations for Weakly-Supervised Segmentation Random walks for image segmentation

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:53:15.669514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a8a39117-6f96-4355-be31-a35e8a45cdd6 · outbound

This paper cites Semi-supervised learn- ing by entropy minimization.

Soft Self-labeling and Potts Relaxations for Weakly-Supervised Segmentation Semi-supervised learn- ing by entropy minimization

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:53:15.462248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 73398d56-ea35-47eb-8054-ffc11d22a4a4 · outbound

This paper cites Deep residual learning for image recognition.

Soft Self-labeling and Potts Relaxations for Weakly-Supervised Segmentation Deep residual learning for image recognition

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T20:53:09.010327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6be4f4cc-a15d-48c3-b4c8-66bf63fb51c7 · outbound

This paper cites Universal Weakly Supervised Segmentation by Pixel-to-Segment Contrastive Learning.

Soft Self-labeling and Potts Relaxations for Weakly-Supervised Segmentation Universal Weakly Supervised Segmentation by Pixel-to-Segment Contrastive Learning

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-08-06T20:53:11.427180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 31f20a27-683b-4758-838b-a0799a6ecbf1 · outbound

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

Soft Self-labeling and Potts Relaxations for Weakly-Supervised Segmentation Seed, ex- pand and constrain: Three principles for weakly-supervised image segmentation

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:53:15.299864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation daf89bed-cd7f-425b-aa4b-8ed5b4271089 · outbound

This paper cites Efficient inference in fully connected CRFs with Gaussian edge potentials.

Soft Self-labeling and Potts Relaxations for Weakly-Supervised Segmentation Efficient inference in fully connected CRFs with Gaussian edge potentials

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:53:15.146236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a2a196aa-e290-4316-8abc-32dafa487f30 · outbound

This paper cites Kulharia, S.

Soft Self-labeling and Potts Relaxations for Weakly-Supervised Segmentation Kulharia, S

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:53:14.973937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 78767909-9024-4190-a9c4-60b0585f68fa · outbound

This paper cites Ficklenet: Weakly and semi-supervised se- mantic image segmentation using stochastic inference.

Soft Self-labeling and Potts Relaxations for Weakly-Supervised Segmentation Ficklenet: Weakly and semi-supervised se- mantic image segmentation using stochastic inference

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:53:14.787490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8d1f30df-7742-4187-9f7f-8657a97dade5 · outbound

This paper cites Tree energy loss: Towards sparsely annotated semantic segmentation.

Soft Self-labeling and Potts Relaxations for Weakly-Supervised Segmentation Tree energy loss: Towards sparsely annotated semantic segmentation

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:53:14.589014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d7ca3e2e-980b-40a8-bbb7-337b92b388f3 · outbound

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

Soft Self-labeling and Potts Relaxations for Weakly-Supervised Segmentation Scribblesup: Scribble-supervised convolutional networks for semantic segmentation

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:53:14.415122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 28a6fcc5-62ad-4d78-a259-a2ad4d7b6e21 · outbound

This paper cites Robust trust region for weakly supervised segmentation.

Soft Self-labeling and Potts Relaxations for Weakly-Supervised Segmentation Robust trust region for weakly supervised segmentation

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:53:14.264543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ef0a0b9c-bee4-4f38-930a-6f2b5fbf4277 · outbound

This paper cites Beyond gradient descent for regularized segmen- tation losses.

Soft Self-labeling and Potts Relaxations for Weakly-Supervised Segmentation Beyond gradient descent for regularized segmen- tation losses

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:53:14.122844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b8b96ac2-e83e-4d73-a6c4-21f98f686bda · outbound

This paper cites When does label smoothing help? Advances in neural infor- mation processing systems, 32, 2019.

Soft Self-labeling and Potts Relaxations for Weakly-Supervised Segmentation When does label smoothing help? Advances in neural infor- mation processing systems, 32, 2019

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:53:13.926170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 1c102899-43c8-49bb-bdbe-68eebcdc13a3 · outbound

This paper cites Natural Scenes Dataset [NSD].

Soft Self-labeling and Potts Relaxations for Weakly-Supervised Segmentation Natural Scenes Dataset [NSD]

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:53:13.741053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6411d877-1f32-45d9-905d-a1fa167e4682 · outbound

This paper cites Scribble-supervised semantic segmentation by uncertainty reduction on neural representation and self- supervision on neural eigenspace.

Soft Self-labeling and Potts Relaxations for Weakly-Supervised Segmentation Scribble-supervised semantic segmentation by uncertainty reduction on neural representation and self- supervision on neural eigenspace

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:53:13.608153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 163110b7-4724-4d3d-900d-7444e2dd191c · outbound

This paper cites A convex relaxation approach for comput- ing minimal partitions.

Soft Self-labeling and Potts Relaxations for Weakly-Supervised Segmentation A convex relaxation approach for comput- ing minimal partitions

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:53:13.489616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 83ad3434-69e2-42dd-9128-fd165d8486a8 · outbound

This paper cites Quadratic program- ming relaxations for metric labeling and Markov Random Field MAP estimation.

Soft Self-labeling and Potts Relaxations for Weakly-Supervised Segmentation Quadratic program- ming relaxations for metric labeling and Markov Random Field MAP estimation

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:53:13.324113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 1c217f65-a8bd-43a8-b231-cc1765346c29 · outbound

This paper cites Mobilenetv2: Inverted residuals and linear bottlenecks.

Soft Self-labeling and Potts Relaxations for Weakly-Supervised Segmentation Mobilenetv2: Inverted residuals and linear bottlenecks

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T20:53:10.285431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c098e9a-a457-4f8c-a2ba-88984a416541 · outbound

This paper cites Normalized cut loss for weakly-supervised cnn segmentation.

Soft Self-labeling and Potts Relaxations for Weakly-Supervised Segmentation Normalized cut loss for weakly-supervised cnn segmentation

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:53:13.147037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b1c20c24-faa7-4235-8ba1-b07ddcc03dc4 · outbound

This paper cites On reg- ularized losses for weakly-supervised cnn segmentation.

Soft Self-labeling and Potts Relaxations for Weakly-Supervised Segmentation On reg- ularized losses for weakly-supervised cnn segmentation

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:53:12.991062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 83d5c7c7-7a52-4895-b8c8-f97faa9d97fb · outbound

This paper cites Efficient graph cut optimization for full crfs with quantized edges.

Soft Self-labeling and Potts Relaxations for Weakly-Supervised Segmentation Efficient graph cut optimization for full crfs with quantized edges

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:53:12.801221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e9a172bb-7e4a-411e-879e-9d695a4d6b53 · outbound

This paper cites Sparse non-local crf.

Soft Self-labeling and Potts Relaxations for Weakly-Supervised Segmentation Sparse non-local crf

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:53:12.642070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 26a65a5b-af23-4905-bab2-06b8f3b7d017 · outbound

This paper cites Boundary perception guidance: A scribble-supervised semantic segmentation ap- proach.

Soft Self-labeling and Potts Relaxations for Weakly-Supervised Segmentation Boundary perception guidance: A scribble-supervised semantic segmentation ap- proach

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:53:12.499024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation fe17c8f6-aaa4-4e7c-8cec-1ae075914601 · outbound

This paper cites Treating pseudo-labels generation as image matting for weakly supervised semantic segmentation.

Soft Self-labeling and Potts Relaxations for Weakly-Supervised Segmentation Treating pseudo-labels generation as image matting for weakly supervised semantic segmentation

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:53:12.368554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3491c187-81a1-482e-9697-dd4e6feed5c7 · outbound

This paper cites Modeling the Label Distributions for Weakly-Supervised Semantic Segmentation.

Soft Self-labeling and Potts Relaxations for Weakly-Supervised Segmentation Modeling the Label Distributions for Weakly-Supervised Semantic Segmentation

Reference 43

Resolution: verified exact; local_arxiv, observed 2026-08-06T20:53:11.310227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0e16aed2-6e58-4fcb-893e-c760c4509058 · outbound

This paper cites Scribble- supervised semantic segmentation inference.

Soft Self-labeling and Potts Relaxations for Weakly-Supervised Segmentation Scribble- supervised semantic segmentation inference

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:53:12.201729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4dd097aa-ce05-49bc-a4bf-061e45b9dfe5 · outbound

This paper cites What is optimized in tight convex relaxations for multi-label prob- lems? In IEEE Conference on Computer Vision and Pattern Recognition, pages 1664–1671, 2012.

Soft Self-labeling and Potts Relaxations for Weakly-Supervised Segmentation What is optimized in tight convex relaxations for multi-label prob- lems? In IEEE Conference on Computer Vision and Pattern Recognition, pages 1664–1671, 2012

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:53:12.045416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a055efd8-e0af-4ae3-b24a-31614f3a762f · outbound

This paper cites Scene parsing through ade20k dataset.

Soft Self-labeling and Potts Relaxations for Weakly-Supervised Segmentation Scene parsing through ade20k dataset

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:53:11.890745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 1d1f11cd-24ef-4740-8228-7ed3eb8f8be3 · outbound

This paper cites Learning from labeled and unlabeled data with label propagation.

Soft Self-labeling and Potts Relaxations for Weakly-Supervised Segmentation Learning from labeled and unlabeled data with label propagation

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:53:11.792034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ba419207-7b44-4c13-a983-b2d9cbd2797d · outbound

This paper cites The backbone is ResNet101.

Soft Self-labeling and Potts Relaxations for Weakly-Supervised Segmentation The backbone is ResNet101

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:53:11.583432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers