Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T21:36:36.231455Z
Paper Citation Record · LEDGER
Slender Object Scene Segmentation in Remote Sensing Image Based on Learnable Morphological Skeleton with Segment Anything Model
As of 21 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 0 inbound Pith citation observations for arXiv:2411.08592.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
57 of 57 outbound references displayed
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- verified fuzzy50
- unresolved6
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 16463d03-fe13-4bc9-839d-010719b6276d · outbound
This paper cites Some generalized order-disorder transformations,.
Slender Object Scene Segmentation in Remote Sensing Image Based on Learnable Morphological Skeleton with Segment Anything Model Some generalized order-disorder transformations,
Reference 1
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation cf667da6-99f9-4360-b700-6711e50f104f · outbound
This paper cites Snakes: Active contour models,.
Slender Object Scene Segmentation in Remote Sensing Image Based on Learnable Morphological Skeleton with Segment Anything Model Snakes: Active contour models,
Reference 2
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 2aca7955-ac6f-43eb-8437-786b5cdc9247 · outbound
This paper cites Fully convolutional networks for semantic segmentation,.
Slender Object Scene Segmentation in Remote Sensing Image Based on Learnable Morphological Skeleton with Segment Anything Model Fully convolutional networks for semantic segmentation,
Reference 3
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 1e4cd986-0f73-4a83-a6a3-6f48354694a7 · outbound
This paper cites U-net: Convolutional networks for biomedical image segmentation,.
Slender Object Scene Segmentation in Remote Sensing Image Based on Learnable Morphological Skeleton with Segment Anything Model U-net: Convolutional networks for biomedical image segmentation,
Reference 4
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 1edf9083-9bb5-4369-aaa4-eff3e7c8bf6a · outbound
This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.
Slender Object Scene Segmentation in Remote Sensing Image Based on Learnable Morphological Skeleton with Segment Anything Model An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Reference 5
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4369afec-2e49-4824-8cb0-1864c51e1fa2 · outbound
This paper cites Morphological skeleton representation and coding of binary images,.
Slender Object Scene Segmentation in Remote Sensing Image Based on Learnable Morphological Skeleton with Segment Anything Model Morphological skeleton representation and coding of binary images,
Reference 6
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation f3c0bd2d-cf37-4e82-9b5c-fa68dec4f841 · outbound
This paper cites Road extraction from remote sensing imagery based on road tracking and ribbon snake,.
Slender Object Scene Segmentation in Remote Sensing Image Based on Learnable Morphological Skeleton with Segment Anything Model Road extraction from remote sensing imagery based on road tracking and ribbon snake,
Reference 7
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation a7e532f2-24a3-4e99-b112-e5974ad4c20e · outbound
This paper cites Morphological road segmentation in urban areas from high resolution satellite images,.
Slender Object Scene Segmentation in Remote Sensing Image Based on Learnable Morphological Skeleton with Segment Anything Model Morphological road segmentation in urban areas from high resolution satellite images,
Reference 8
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation a1bf98a6-53e5-4137-a11a-88e6228bb71a · outbound
This paper cites Use of watersheds in contour detection,.
Slender Object Scene Segmentation in Remote Sensing Image Based on Learnable Morphological Skeleton with Segment Anything Model Use of watersheds in contour detection,
Reference 9
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 5e43aa27-85e4-4b32-8c44-f6427cc708f6 · outbound
This paper cites clDice-a novel topology-preserving loss function for tubular structure segmentation,.
Slender Object Scene Segmentation in Remote Sensing Image Based on Learnable Morphological Skeleton with Segment Anything Model clDice-a novel topology-preserving loss function for tubular structure segmentation,
Reference 10
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation b6277e0c-8ebc-47fd-92d8-9d26f2ff92f6 · outbound
This paper cites Cp-loss: Connectivity-preserving loss for road curb detection in autonomous driving with aerial images,.
Slender Object Scene Segmentation in Remote Sensing Image Based on Learnable Morphological Skeleton with Segment Anything Model Cp-loss: Connectivity-preserving loss for road curb detection in autonomous driving with aerial images,
Reference 11
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 1c5d253f-9c2d-423a-944a-9895855401d8 · outbound
This paper cites RoadNet: Learning to comprehensively analyze road networks in complex urban scenes from high-resolution remotely sensed images,.
Slender Object Scene Segmentation in Remote Sensing Image Based on Learnable Morphological Skeleton with Segment Anything Model RoadNet: Learning to comprehensively analyze road networks in complex urban scenes from high-resolution remotely sensed images,
Reference 12
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation b15232c8-07c8-497c-85c0-929b5a7022a2 · outbound
This paper cites Language models are few-shot learners,.
Slender Object Scene Segmentation in Remote Sensing Image Based on Learnable Morphological Skeleton with Segment Anything Model Language models are few-shot learners,
Reference 13
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 64f602ce-d4b3-4def-83f9-5b4fc27e35d5 · outbound
This paper cites Learning transferable visual models from natural language supervision,.
Slender Object Scene Segmentation in Remote Sensing Image Based on Learnable Morphological Skeleton with Segment Anything Model Learning transferable visual models from natural language supervision,
Reference 14
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation f71bb069-16a6-46c2-b575-a8a3bc328358 · outbound
This paper cites Segment anything,.
Slender Object Scene Segmentation in Remote Sensing Image Based on Learnable Morphological Skeleton with Segment Anything Model Segment anything,
Reference 15
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation e0f7efbb-b98a-4307-a8f6-87551c568381 · outbound
This paper cites Segment anything, from space?.
Slender Object Scene Segmentation in Remote Sensing Image Based on Learnable Morphological Skeleton with Segment Anything Model Segment anything, from space?
Reference 16
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 21f63aa5-2d39-4854-ac40-f064e4bed343 · outbound
This paper cites Personalize Segment Anything Model with One Shot.
Slender Object Scene Segmentation in Remote Sensing Image Based on Learnable Morphological Skeleton with Segment Anything Model Personalize Segment Anything Model with One Shot
Reference 17
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Source-reported events for the cited work
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Observation dc068977-003a-4208-8120-6edf67535f97 · outbound
This paper cites The segment anything model (SAM) for remote sensing applications: From zero to one shot,.
Slender Object Scene Segmentation in Remote Sensing Image Based on Learnable Morphological Skeleton with Segment Anything Model The segment anything model (SAM) for remote sensing applications: From zero to one shot,
Reference 18
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation aa2e0ea3-09a3-417a-bdcd-24da56d4a7f7 · outbound
This paper cites RSPrompter: Learning to prompt for remote sensing instance segmentation based on visual foundation model,.
Slender Object Scene Segmentation in Remote Sensing Image Based on Learnable Morphological Skeleton with Segment Anything Model RSPrompter: Learning to prompt for remote sensing instance segmentation based on visual foundation model,
Reference 19
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation c22d5c3f-e1fa-432a-843d-8482a6fc5c8b · outbound
This paper cites SAM Fails to Segment Anything? -- SAM-Adapter: Adapting SAM in Underperformed Scenes: Camouflage, Shadow, Medical Image Segmentation, and More.
Slender Object Scene Segmentation in Remote Sensing Image Based on Learnable Morphological Skeleton with Segment Anything Model SAM Fails to Segment Anything? -- SAM-Adapter: Adapting SAM in Underperformed Scenes: Camouflage, Shadow, Medical Image Segmentation, and More
Reference 20
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b0870413-80a2-471c-a925-1ce2060e3d79 · outbound
This paper cites Building extraction from high spatial resolution remote sensing images via multiscale-aware and segmentation-prior conditional random fields,.
Slender Object Scene Segmentation in Remote Sensing Image Based on Learnable Morphological Skeleton with Segment Anything Model Building extraction from high spatial resolution remote sensing images via multiscale-aware and segmentation-prior conditional random fields,
Reference 21
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation b9dc88c2-8118-4cb3-90e7-fa926988c4d4 · outbound
This paper cites SAM- Assisted remote sensing imagery semantic segmentation with object and boundary constraints,.
Slender Object Scene Segmentation in Remote Sensing Image Based on Learnable Morphological Skeleton with Segment Anything Model SAM- Assisted remote sensing imagery semantic segmentation with object and boundary constraints,
Reference 22
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 03787ddc-5da5-4917-b8c8-a1ba486b7e56 · outbound
This paper cites Algorithm unrolling: Interpretable, efficient deep learning for signal and image processing,.
Slender Object Scene Segmentation in Remote Sensing Image Based on Learnable Morphological Skeleton with Segment Anything Model Algorithm unrolling: Interpretable, efficient deep learning for signal and image processing,
Reference 23
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 09ef4a15-4756-4d8c-ae39-f3d3ff06e5a2 · outbound
This paper cites Conditional random fields as recurrent neural net- works,.
Slender Object Scene Segmentation in Remote Sensing Image Based on Learnable Morphological Skeleton with Segment Anything Model Conditional random fields as recurrent neural net- works,
Reference 24
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation f10ff86f-92f2-4cd8-a66b-14ab8069cfad · outbound
This paper cites A regularized convolutional neural network for semantic image segmentation,.
Slender Object Scene Segmentation in Remote Sensing Image Based on Learnable Morphological Skeleton with Segment Anything Model A regularized convolutional neural network for semantic image segmentation,
Reference 25
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 4b4ed039-e323-41a3-8fe7-1779acb2d36d · outbound
This paper cites Interpretable Small Training Set Image Segmentation Network Originated from Multi-Grid Variational Model.
Slender Object Scene Segmentation in Remote Sensing Image Based on Learnable Morphological Skeleton with Segment Anything Model Interpretable Small Training Set Image Segmentation Network Originated from Multi-Grid Variational Model
Reference 26
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 33e7e37f-795e-4602-9a1e-f8e1e57c387d · outbound
This paper cites Deep convolutional neural networks with spatial regularization, volume and star-shape priors for image segmentation,.
Slender Object Scene Segmentation in Remote Sensing Image Based on Learnable Morphological Skeleton with Segment Anything Model Deep convolutional neural networks with spatial regularization, volume and star-shape priors for image segmentation,
Reference 27
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 99d99143-81d8-40e1-b5c7-d21048351808 · outbound
This paper cites Boundary- enhanced dual-stream network for semantic segmentation of high- resolution remote sensing images,.
Slender Object Scene Segmentation in Remote Sensing Image Based on Learnable Morphological Skeleton with Segment Anything Model Boundary- enhanced dual-stream network for semantic segmentation of high- resolution remote sensing images,
Reference 28
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 8b0867b5-2a7b-4d86-96c4-9ebce2bac271 · outbound
This paper cites Topology-guided road graph extraction from remote sensing images,.
Slender Object Scene Segmentation in Remote Sensing Image Based on Learnable Morphological Skeleton with Segment Anything Model Topology-guided road graph extraction from remote sensing images,
Reference 29
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 9806f035-db45-465a-881d-5949c8ef2f02 · outbound
This paper cites Semantic segmentation of remote sensing images by interactive representation refinement and geometric prior-guided inference,.
Slender Object Scene Segmentation in Remote Sensing Image Based on Learnable Morphological Skeleton with Segment Anything Model Semantic segmentation of remote sensing images by interactive representation refinement and geometric prior-guided inference,
Reference 30
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 1fffad72-1ca3-4a0e-9a38-4119571cb341 · outbound
This paper cites Swint-resnet: An improved remote sensing image segmentation model based on transformer,.
Slender Object Scene Segmentation in Remote Sensing Image Based on Learnable Morphological Skeleton with Segment Anything Model Swint-resnet: An improved remote sensing image segmentation model based on transformer,
Reference 31
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation c5c0532e-2c28-4b81-9912-039d844009fa · outbound
This paper cites Nonlinear total variation based noise removal algorithms,.
Slender Object Scene Segmentation in Remote Sensing Image Based on Learnable Morphological Skeleton with Segment Anything Model Nonlinear total variation based noise removal algorithms,
Reference 32
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 05b79cfd-2ebb-49ef-ab5e-30fce097d4ec · outbound
This paper cites Active contours without edges,.
Slender Object Scene Segmentation in Remote Sensing Image Based on Learnable Morphological Skeleton with Segment Anything Model Active contours without edges,
Reference 33
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation f517a0e7-6d52-4fea-87b3-c26d0afccd27 · outbound
This paper cites Fast global minimization of the active contour/snake model,.
Slender Object Scene Segmentation in Remote Sensing Image Based on Learnable Morphological Skeleton with Segment Anything Model Fast global minimization of the active contour/snake model,
Reference 34
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 04500352-8536-4017-9912-69a888593752 · outbound
This paper cites Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images,.
Slender Object Scene Segmentation in Remote Sensing Image Based on Learnable Morphological Skeleton with Segment Anything Model Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images,
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:36:36.470178Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 80dffb9f-1c15-4c31-95b9-e853e5565468 · outbound
This paper cites Spatial models for fuzzy clustering,.
Slender Object Scene Segmentation in Remote Sensing Image Based on Learnable Morphological Skeleton with Segment Anything Model Spatial models for fuzzy clustering,
Reference 36
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 5b71ff66-e261-4f57-86fb-eb9766c23719 · outbound
This paper cites An edge-weighted centroidal voronoi tessellation model for image segmentation,.
Slender Object Scene Segmentation in Remote Sensing Image Based on Learnable Morphological Skeleton with Segment Anything Model An edge-weighted centroidal voronoi tessellation model for image segmentation,
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:36:36.455096Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 494a7584-be8c-4668-924f-9710d5cb46fc · outbound
This paper cites A fast segmentation method based on constraint optimization and its applications: Intensity inhomogeneity and texture segmentation,.
Slender Object Scene Segmentation in Remote Sensing Image Based on Learnable Morphological Skeleton with Segment Anything Model A fast segmentation method based on constraint optimization and its applications: Intensity inhomogeneity and texture segmentation,
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:36:36.446788Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation ba5e71ad-84d0-47b9-8b50-1a5e96ce6974 · outbound
This paper cites Image segmentation using a local GMM in a variational framework,.
Slender Object Scene Segmentation in Remote Sensing Image Based on Learnable Morphological Skeleton with Segment Anything Model Image segmentation using a local GMM in a variational framework,
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:36:36.438467Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation fb618950-7ecf-4366-a87e-874cffb84328 · outbound
This paper cites Merriman, J.
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:36:36.431025Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 2482dfc9-58de-49c2-b86f-f03029c59f5d · outbound
This paper cites Threshold dynamics for the piecewise constant Mumford-Shah functional,.
Slender Object Scene Segmentation in Remote Sensing Image Based on Learnable Morphological Skeleton with Segment Anything Model Threshold dynamics for the piecewise constant Mumford-Shah functional,
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:36:36.423342Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation dee7a0c6-0af3-484a-ae13-6db2c92a7354 · outbound
This paper cites An efficient iterative thresholding method for image segmentation,.
Slender Object Scene Segmentation in Remote Sensing Image Based on Learnable Morphological Skeleton with Segment Anything Model An efficient iterative thresholding method for image segmentation,
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:36:36.414677Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation e4815a5b-a88a-48e0-9521-331640fcc16c · outbound
This paper cites Image analysis using mathematical morphology,.
Slender Object Scene Segmentation in Remote Sensing Image Based on Learnable Morphological Skeleton with Segment Anything Model Image analysis using mathematical morphology,
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:36:36.406119Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation c182f0b7-cde8-4c76-b814-6c11de659f16 · outbound
This paper cites an unresolved cited work.
Slender Object Scene Segmentation in Remote Sensing Image Based on Learnable Morphological Skeleton with Segment Anything Model Unresolved cited work
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T21:36:36.198915Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c9e9747c-4324-4559-a0b8-e419dfaa9ce4 · outbound
This paper cites Masked autoencoders are scalable vision learners,.
Slender Object Scene Segmentation in Remote Sensing Image Based on Learnable Morphological Skeleton with Segment Anything Model Masked autoencoders are scalable vision learners,
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:36:36.393195Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 95d8bcee-05c9-4955-a712-6590887e3309 · outbound
This paper cites RingMo-SAM: A foundation model for segment anything in multimodal remote-sensing images,.
Slender Object Scene Segmentation in Remote Sensing Image Based on Learnable Morphological Skeleton with Segment Anything Model RingMo-SAM: A foundation model for segment anything in multimodal remote-sensing images,
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:36:36.384694Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 3c5b7750-bb09-4633-b6c1-0922a9b80f6e · outbound
This paper cites LoRA: Low-Rank Adaptation of Large Language Models.
Slender Object Scene Segmentation in Remote Sensing Image Based on Learnable Morphological Skeleton with Segment Anything Model LoRA: Low-Rank Adaptation of Large Language Models
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T21:36:36.205725Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8740ee9e-f41c-4e6c-b266-5df10714c40c · outbound
This paper cites Customized Segment Anything Model for Medical Image Segmentation.
Slender Object Scene Segmentation in Remote Sensing Image Based on Learnable Morphological Skeleton with Segment Anything Model Customized Segment Anything Model for Medical Image Segmentation
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T21:36:36.208271Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d49cce4b-4229-48f6-89f3-ca14eb88430d · outbound
This paper cites On the numerical solution of heat conduction problems in two and three space variables,.
Slender Object Scene Segmentation in Remote Sensing Image Based on Learnable Morphological Skeleton with Segment Anything Model On the numerical solution of heat conduction problems in two and three space variables,
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:36:36.376569Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation df326dde-16c7-4b16-9916-5912dbb93482 · outbound
This paper cites Augmented Lagrangian method, dual methods, and split Bregman iteration for ROF, vectorial TV, and high order models,.
Slender Object Scene Segmentation in Remote Sensing Image Based on Learnable Morphological Skeleton with Segment Anything Model Augmented Lagrangian method, dual methods, and split Bregman iteration for ROF, vectorial TV, and high order models,
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:36:36.367725Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 380c7289-d638-4bde-a824-4422f44795f5 · outbound
This paper cites Glowinski, T.-W.
Slender Object Scene Segmentation in Remote Sensing Image Based on Learnable Morphological Skeleton with Segment Anything Model Glowinski, T.-W
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:36:36.360169Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation df14ff28-1802-497b-8884-a6d2c822b79c · outbound
This paper cites Glowinski and P.
Slender Object Scene Segmentation in Remote Sensing Image Based on Learnable Morphological Skeleton with Segment Anything Model Glowinski and P
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:36:36.346803Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 7dd24c9e-2016-4a76-8bab-8f6731b8c46a · outbound
This paper cites Fully convolutional networks for multisource building extraction from an open aerial and satellite imagery data set,.
Slender Object Scene Segmentation in Remote Sensing Image Based on Learnable Morphological Skeleton with Segment Anything Model Fully convolutional networks for multisource building extraction from an open aerial and satellite imagery data set,
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:36:36.338724Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation ab65e643-2a7d-4a99-b58a-ade5f438edd1 · outbound
This paper cites Learning aerial image segmentation from online maps,.
Slender Object Scene Segmentation in Remote Sensing Image Based on Learnable Morphological Skeleton with Segment Anything Model Learning aerial image segmentation from online maps,
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:36:36.330030Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation b73689c8-2546-49de-9039-7b8a8018d509 · outbound
This paper cites Machine learning for aerial image labeling,.
Slender Object Scene Segmentation in Remote Sensing Image Based on Learnable Morphological Skeleton with Segment Anything Model Machine learning for aerial image labeling,
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:36:36.322254Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 91c45808-823e-486f-9f96-19a39b97b890 · outbound
This paper cites MCANet: A joint semantic segmentation framework of optical and SAR images for land use classification,.
Slender Object Scene Segmentation in Remote Sensing Image Based on Learnable Morphological Skeleton with Segment Anything Model MCANet: A joint semantic segmentation framework of optical and SAR images for land use classification,
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:36:36.314230Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 2b843293-79b6-4f04-900d-0c09579734a7 · outbound
This paper cites and Ph.D.
Reference 2004
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:36:36.305413Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Pith citing papers
No inbound Pith citation observations are available.