Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T22:56:50.799882Z
Paper Citation Record · LEDGER
A Novel Shape Guided Transformer Network for Instance Segmentation in Remote Sensing Images
As of 13 August 2026, this Paper Citation Record lists 72 of 72 outbound references and 0 inbound Pith citation observations for arXiv:2501.00360.
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 2026-08-13T06:32:02.005865+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
72 of 72 outbound references displayed
- verified exact1
- verified fuzzy60
- unresolved10
- parse uncertain0
- malformed identifier1
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation df8ec648-bb71-420a-bc68-1e04f0096594 · outbound
This paper cites an unresolved cited work.
A Novel Shape Guided Transformer Network for Instance Segmentation in Remote Sensing Images Unresolved cited work
Reference 1
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 671420db-a578-45f4-8815-a781dee8d719 · outbound
This paper cites an unresolved cited work.
A Novel Shape Guided Transformer Network for Instance Segmentation in Remote Sensing Images Unresolved cited work
Reference 2
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- unresolved
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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 a8d02479-5c02-480e-afa5-8efa9f21779c · outbound
This paper cites The NWPU VHR-10 dataset contains 650 remote sensing images and corresponding instance annotations collected from Google Earth and ISPRS Vaihingen datasets [28].
A Novel Shape Guided Transformer Network for Instance Segmentation in Remote Sensing Images The NWPU VHR-10 dataset contains 650 remote sensing images and corresponding instance annotations collected from Google Earth and ISPRS Vaihingen datasets [28]
Reference 3
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- raw_fallback, observed 2026-08-10T22:56:51.730263Z
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 a14c0409-9e7a-442c-8d6f-508b1ac58bcb · outbound
This paper cites W, H and C.
A Novel Shape Guided Transformer Network for Instance Segmentation in Remote Sensing Images W, H and C
Reference 4
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- verified fuzzy
- raw_fallback, observed 2026-08-10T22:56:51.770050Z
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 81423554-64fc-4517-a1b2-ef67fa2d4234 · outbound
This paper cites an unresolved cited work.
A Novel Shape Guided Transformer Network for Instance Segmentation in Remote Sensing Images Unresolved cited work
Reference 5
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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 131bacb3-0309-4706-b06a-b6378793b223 · outbound
This paper cites an unresolved cited work.
A Novel Shape Guided Transformer Network for Instance Segmentation in Remote Sensing Images Unresolved cited work
Reference 6
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 62b049ed-7f28-4f23-97ec-d773e5fbb0ca · outbound
This paper cites Multi-Swin Mask Transformer for Instance Segmentation of Agricultural Field Extraction,.
A Novel Shape Guided Transformer Network for Instance Segmentation in Remote Sensing Images Multi-Swin Mask Transformer for Instance Segmentation of Agricultural Field Extraction,
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:56:51.524635Z
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 992d5dc7-5030-4d50-a409-74b669124244 · outbound
This paper cites an unresolved cited work.
A Novel Shape Guided Transformer Network for Instance Segmentation in Remote Sensing Images Unresolved cited work
Reference 8
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T22:56:51.716484Z
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 6f02c95a-f438-4353-91a3-a1aad7fd75e0 · outbound
This paper cites an unresolved cited work.
A Novel Shape Guided Transformer Network for Instance Segmentation in Remote Sensing Images Unresolved cited work
Reference 9
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 30843a2a-e279-491e-9874-e4f49a2d083b · outbound
This paper cites an unresolved cited work.
A Novel Shape Guided Transformer Network for Instance Segmentation in Remote Sensing Images Unresolved cited work
Reference 10
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T22:56:51.701676Z
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 f81ecf53-235c-4dac-aa60-4aae8686208f · outbound
This paper cites The quantitative results of the proposed SGTN and other comparison methods are listed in Table I.
A Novel Shape Guided Transformer Network for Instance Segmentation in Remote Sensing Images The quantitative results of the proposed SGTN and other comparison methods are listed in Table I
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:56:51.687349Z
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 eac123f4-78e9-463d-8bdc-68e78ad74293 · outbound
This paper cites The quantitative results from different instance segmentation methods on the BITCC dataset are listed in Table II.
A Novel Shape Guided Transformer Network for Instance Segmentation in Remote Sensing Images The quantitative results from different instance segmentation methods on the BITCC dataset are listed in Table II
Reference 12
- Resolution
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- raw_fallback, observed 2026-08-10T22:56:51.674225Z
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 240da120-1c5b-4e9a-8d1e-7126e2626b74 · outbound
This paper cites Results on the multi-category NWPU VHR-10 dataset from different instance segmentation methods are summarized in Table III.
A Novel Shape Guided Transformer Network for Instance Segmentation in Remote Sensing Images Results on the multi-category NWPU VHR-10 dataset from different instance segmentation methods are summarized in Table III
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:56:51.660701Z
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 07c7dcda-1121-4942-b704-13653d869b58 · outbound
This paper cites In this subsection, we analyze the inference efficiency of our newly developed method for instance segmentation of remote sensing images.
A Novel Shape Guided Transformer Network for Instance Segmentation in Remote Sensing Images In this subsection, we analyze the inference efficiency of our newly developed method for instance segmentation of remote sensing images
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:56:51.633975Z
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 03773622-30c0-49f2-9677-3a715fa9f832 · outbound
This paper cites W/” DENOTES WITH, “W/O.
A Novel Shape Guided Transformer Network for Instance Segmentation in Remote Sensing Images W/” DENOTES WITH, “W/O
Reference 15
- Resolution
- malformed identifier
- raw_fallback, observed 2026-08-10T22:56:51.620552Z
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 1d297da5-46b3-45a6-87b0-aaa88fd0c0ea · outbound
This paper cites Mask Decoupled Head for Instance Segmentation in Remote Sensing Images.
A Novel Shape Guided Transformer Network for Instance Segmentation in Remote Sensing Images Mask Decoupled Head for Instance Segmentation in Remote Sensing Images
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:56:51.606741Z
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 7bd0eceb-248c-4292-81c0-f7696748e214 · outbound
This paper cites Instance Segmentation in Very High Resolution Remote Sensing Imag ery Based on Hard-to-Segment Instance Learning and Boundary Shape Analysis,.
A Novel Shape Guided Transformer Network for Instance Segmentation in Remote Sensing Images Instance Segmentation in Very High Resolution Remote Sensing Imag ery Based on Hard-to-Segment Instance Learning and Boundary Shape Analysis,
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:56:51.593409Z
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 75bb1b9a-7e22-482b-8dcf-f1b75fafac19 · outbound
This paper cites Accurate Instance Segmentation for Remote Sensing Images via Adaptive and Dynamic Feature Learning,.
A Novel Shape Guided Transformer Network for Instance Segmentation in Remote Sensing Images Accurate Instance Segmentation for Remote Sensing Images via Adaptive and Dynamic Feature Learning,
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:56:51.579617Z
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 37d2ea40-1a75-4483-97d9-352af82eb544 · outbound
This paper cites Simultaneous detection and segmentation.
A Novel Shape Guided Transformer Network for Instance Segmentation in Remote Sensing Images Simultaneous detection and segmentation
Reference 19
- Resolution
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- raw_fallback, observed 2026-08-10T22:56:51.565860Z
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 dfe90dc6-743f-481e-bfb5-5446f16cd0ed · outbound
This paper cites An anchor-free network with box refinement and saliency supplement for instance segmentation in remote sensing images,.
A Novel Shape Guided Transformer Network for Instance Segmentation in Remote Sensing Images An anchor-free network with box refinement and saliency supplement for instance segmentation in remote sensing images,
Reference 20
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- raw_fallback, observed 2026-08-10T22:56:51.552183Z
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 7cb5d188-157a-4a10-aeec-30d59a74925f · outbound
This paper cites Bounding box-free instance segmentation using semi-supervised iterative learning for vehicle detection.
A Novel Shape Guided Transformer Network for Instance Segmentation in Remote Sensing Images Bounding box-free instance segmentation using semi-supervised iterative learning for vehicle detection
Reference 21
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- raw_fallback, observed 2026-08-10T22:56:51.539026Z
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 92e237df-b94f-42c1-aeb2-711b438740f3 · outbound
This paper cites Polarmask: Single shot instance segmentation with pola r representation.
A Novel Shape Guided Transformer Network for Instance Segmentation in Remote Sensing Images Polarmask: Single shot instance segmentation with pola r representation
Reference 22
- Resolution
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- raw_fallback, observed 2026-08-10T22:56:51.335904Z
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 c922b180-435b-4373-8379-8fe9de53e159 · outbound
This paper cites Long-Range Correlation Supervision for Land-Cover Classification from Remote Sensing Images,.
A Novel Shape Guided Transformer Network for Instance Segmentation in Remote Sensing Images Long-Range Correlation Supervision for Land-Cover Classification from Remote Sensing Images,
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:56:51.511952Z
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 3163aacb-620a-487e-bad4-7b0990f13883 · outbound
This paper cites An image is worth 16x16 words: Transformers for image recognition at scale,.
A Novel Shape Guided Transformer Network for Instance Segmentation in Remote Sensing Images An image is worth 16x16 words: Transformers for image recognition at scale,
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:56:51.498882Z
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 92653dad-6b96-4169-87e6-bd64074e7e13 · outbound
This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.
A Novel Shape Guided Transformer Network for Instance Segmentation in Remote Sensing Images Swin transformer: Hierarchical vision transformer using shifted windows
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:56:51.486254Z
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 c1e191b3-474c-4f29-938f-918d46921c35 · outbound
This paper cites An improved swin transformer-based model for remote sensing object detection and instance segmentation,.
A Novel Shape Guided Transformer Network for Instance Segmentation in Remote Sensing Images An improved swin transformer-based model for remote sensing object detection and instance segmentation,
Reference 26
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- verified fuzzy
- raw_fallback, observed 2026-08-10T22:56:51.473343Z
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 f7ef6323-9f08-4640-8ad5-7e32f4f9181e · outbound
This paper cites RSPrompter: Learning to prompt for remote sensing instance segmentation based on visual foundation model,.
A Novel Shape Guided Transformer Network for Instance Segmentation in Remote Sensing Images RSPrompter: Learning to prompt for remote sensing instance segmentation based on visual foundation model,
Reference 27
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- verified fuzzy
- raw_fallback, observed 2026-08-10T22:56:51.460282Z
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 cbccd2f0-4828-4f41-a40b-5ee24f71063f · outbound
This paper cites Contour Loss: Boundary-Aware Learning for Salient Object Segmentation.
A Novel Shape Guided Transformer Network for Instance Segmentation in Remote Sensing Images Contour Loss: Boundary-Aware Learning for Salient Object Segmentation
Reference 28
- Resolution
- verified exact
- local_arxiv, observed 2026-08-10T22:56:50.882903Z
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 752eb87d-e779-4aab-839c-013dd537b092 · outbound
This paper cites Yolact: Real-time instance segmentation.
A Novel Shape Guided Transformer Network for Instance Segmentation in Remote Sensing Images Yolact: Real-time instance segmentation
Reference 29
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- verified fuzzy
- raw_fallback, observed 2026-08-10T22:56:51.446670Z
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 f51517fb-0ac0-4d99-86fe-52b98e00f521 · outbound
This paper cites Solo: Segmenting objects by locations,.
A Novel Shape Guided Transformer Network for Instance Segmentation in Remote Sensing Images Solo: Segmenting objects by locations,
Reference 30
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- verified fuzzy
- raw_fallback, observed 2026-08-10T22:56:51.433348Z
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 43957358-6839-4816-a9ed-4f19961a38f8 · outbound
This paper cites Blendmask: Top-down meets bottom- up for instance segmentation.
A Novel Shape Guided Transformer Network for Instance Segmentation in Remote Sensing Images Blendmask: Top-down meets bottom- up for instance segmentation
Reference 31
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- raw_fallback, observed 2026-08-10T22:56:51.420268Z
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 3636a34f-1861-4fd5-8701-7f5aa5f8b845 · outbound
This paper cites Conditional convolutions for instance segmentation.
A Novel Shape Guided Transformer Network for Instance Segmentation in Remote Sensing Images Conditional convolutions for instance segmentation
Reference 32
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- raw_fallback, observed 2026-08-10T22:56:51.405278Z
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 0130fe6f-d462-4ded-9c77-c80942e980b3 · outbound
This paper cites Mask R-CNN,.
A Novel Shape Guided Transformer Network for Instance Segmentation in Remote Sensing Images Mask R-CNN,
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:56:51.391484Z
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 e482e935-4b73-4d88-8c68-ad62671a4238 · outbound
This paper cites Faster R-CNN: Towards Real- Time Object Detection with Region Proposal Networks,.
A Novel Shape Guided Transformer Network for Instance Segmentation in Remote Sensing Images Faster R-CNN: Towards Real- Time Object Detection with Region Proposal Networks,
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:56:51.378233Z
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 30db8f1b-b125-4929-bf5e-7c369c3fe303 · outbound
This paper cites Hybrid task cascade for instance segmentation,.
A Novel Shape Guided Transformer Network for Instance Segmentation in Remote Sensing Images Hybrid task cascade for instance segmentation,
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:56:51.364388Z
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 70666914-f254-4d2b-9b86-cfe8db20e0bf · outbound
This paper cites Path aggregation network for instance segmentation,.
A Novel Shape Guided Transformer Network for Instance Segmentation in Remote Sensing Images Path aggregation network for instance segmentation,
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:56:51.350200Z
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 656c371d-dd7e-4e01-87fc-fee9ecd42e6b · outbound
This paper cites Global contex t parallel attentio n for anchor-free instance segmentation in remote sensing images,.
A Novel Shape Guided Transformer Network for Instance Segmentation in Remote Sensing Images Global contex t parallel attentio n for anchor-free instance segmentation in remote sensing images,
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:56:51.131117Z
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 7c80cb23-f73f-4a30-bf46-cd7bc8929d88 · outbound
This paper cites Fas t interactive object annotation with curve-gcn,.
A Novel Shape Guided Transformer Network for Instance Segmentation in Remote Sensing Images Fas t interactive object annotation with curve-gcn,
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:56:51.321768Z
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 d7012b3a-51fe-43a8-8063-cd249082e238 · outbound
This paper cites Deep snake for real-time instance segmentation,.
A Novel Shape Guided Transformer Network for Instance Segmentation in Remote Sensing Images Deep snake for real-time instance segmentation,
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:56:51.307229Z
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 7fcb0948-adae-4329-8bc1-98c10ba7f7d8 · outbound
This paper cites Dance: A deep attentive contour model for efficient instance segmentation,.
A Novel Shape Guided Transformer Network for Instance Segmentation in Remote Sensing Images Dance: A deep attentive contour model for efficient instance segmentation,
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:56:51.293120Z
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 c2a8d6ca-35c5-4e68-b138-b5dbbe6a63a7 · outbound
This paper cites Annotating object instances with a polygon-rnn.
A Novel Shape Guided Transformer Network for Instance Segmentation in Remote Sensing Images Annotating object instances with a polygon-rnn
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:56:51.279263Z
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 ee3b34be-5749-4989-8f97-664d4bf2a9aa · outbound
This paper cites Efficient interactive annotation of segmentation datasets with polygon-rnn++.
A Novel Shape Guided Transformer Network for Instance Segmentation in Remote Sensing Images Efficient interactive annotation of segmentation datasets with polygon-rnn++
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:56:51.266731Z
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 a43db398-f706-4378-804f-db16dd218f70 · outbound
This paper cites HQ-ISNet: High-quality instance segmentation for remote sensing imagery,.
A Novel Shape Guided Transformer Network for Instance Segmentation in Remote Sensing Images HQ-ISNet: High-quality instance segmentation for remote sensing imagery,
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:56:51.253682Z
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 2b33853d-0878-4731-b383-76e75d6248eb · outbound
This paper cites Ship instance segmentation from remote sensing images using sequence local context module.
A Novel Shape Guided Transformer Network for Instance Segmentation in Remote Sensing Images Ship instance segmentation from remote sensing images using sequence local context module
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:56:51.239538Z
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 2ca882c2-bded-4235-b55c-d7cb4c2e12e6 · outbound
This paper cites DB-BlendMask: Decomposed attention and balanced BlendMask fo r instance segmentation of high- resolution remote sensing images,.
A Novel Shape Guided Transformer Network for Instance Segmentation in Remote Sensing Images DB-BlendMask: Decomposed attention and balanced BlendMask fo r instance segmentation of high- resolution remote sensing images,
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:56:51.226071Z
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 f539f1b5-8bed-4a27-a7f1-fb5ed55ec6cb · outbound
This paper cites Faster and Better Instance Segmentation for Large Scene Remote Sensing Imagery.
A Novel Shape Guided Transformer Network for Instance Segmentation in Remote Sensing Images Faster and Better Instance Segmentation for Large Scene Remote Sensing Imagery
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:56:51.213131Z
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 8ec1983c-1c7c-48b6-b3ca-5dc0348cc87d · outbound
This paper cites Precise and robust ship detection for high- resolution SAR imagery based on HR-SDNet,.
A Novel Shape Guided Transformer Network for Instance Segmentation in Remote Sensing Images Precise and robust ship detection for high- resolution SAR imagery based on HR-SDNet,
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:56:51.200280Z
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 7948e64a-1078-4e51-9617-0610546f5007 · outbound
This paper cites Cas cade R-CNN: High quality object detection and instance segmentation,.
A Novel Shape Guided Transformer Network for Instance Segmentation in Remote Sensing Images Cas cade R-CNN: High quality object detection and instance segmentation,
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:56:51.187363Z
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 4936b994-8b71-40fc-8731-15dc60327e9b · outbound
This paper cites OEC-RNN: Object-oriented delineation of rooftops with edges and corners using the recurrent neural network from the aerial images,.
A Novel Shape Guided Transformer Network for Instance Segmentation in Remote Sensing Images OEC-RNN: Object-oriented delineation of rooftops with edges and corners using the recurrent neural network from the aerial images,
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:56:51.173725Z
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 a8410d2e-e04a-4d67-b338-25a488b29364 · outbound
This paper cites Building outline delineation: From aerial images to polygons with an improved end-to-end learning framework,.
A Novel Shape Guided Transformer Network for Instance Segmentation in Remote Sensing Images Building outline delineation: From aerial images to polygons with an improved end-to-end learning framework,
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:56:51.158170Z
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 17151ab3-efaa-4b9f-80e0-e0b31775a6a8 · outbound
This paper cites BuildMapper: A fully learnable framework for vectorized building contour extraction,.
A Novel Shape Guided Transformer Network for Instance Segmentation in Remote Sensing Images BuildMapper: A fully learnable framework for vectorized building contour extraction,
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:56:51.143613Z
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 00de2c79-f9ef-4c49-a2aa-b7e6c26652d4 · outbound
This paper cites Attention is all you need,.
A Novel Shape Guided Transformer Network for Instance Segmentation in Remote Sensing Images Attention is all you need,
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:56:50.954052Z
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 5bb85fa6-829f-403f-8286-869561bf3d4e · outbound
This paper cites Learning to aggregate multi-scale context for instance segmentation in remote sensing images,.
A Novel Shape Guided Transformer Network for Instance Segmentation in Remote Sensing Images Learning to aggregate multi-scale context for instance segmentation in remote sensing images,
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:56:51.117974Z
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 f99b002f-fe85-498b-b082-e6008581aa43 · outbound
This paper cites GLSANet: Global-local self-attention network for remote sensing image semantic segmentation,.
A Novel Shape Guided Transformer Network for Instance Segmentation in Remote Sensing Images GLSANet: Global-local self-attention network for remote sensing image semantic segmentation,
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:56:51.104329Z
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 50a8c29b-5e07-43a5-9361-6feb153cabb9 · outbound
This paper cites LPASS-Net : Lightweight progressive attention semantic segmentation network for automatic segmentation of remote sensing images,.
A Novel Shape Guided Transformer Network for Instance Segmentation in Remote Sensing Images LPASS-Net : Lightweight progressive attention semantic segmentation network for automatic segmentation of remote sensing images,
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:56:51.091104Z
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 f36caa28-9a6e-4455-9cef-87757f43867c · outbound
This paper cites Swin Transformer Embedding UNet for Remote Sensing Image Semantic Segmentation,.
A Novel Shape Guided Transformer Network for Instance Segmentation in Remote Sensing Images Swin Transformer Embedding UNet for Remote Sensing Image Semantic Segmentation,
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:56:51.077292Z
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 5d1e1bd7-79bd-4f68-89a2-c6b228b13cd5 · outbound
This paper cites Swin-transformer-enabled YOLOv5 with attention mechanism for small objec t detection on sa tellite images,.
A Novel Shape Guided Transformer Network for Instance Segmentation in Remote Sensing Images Swin-transformer-enabled YOLOv5 with attention mechanism for small objec t detection on sa tellite images,
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:56:51.064289Z
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 033cc5c6-6d67-4e06-8658-70f688d5e4f1 · outbound
This paper cites FN" and.
A Novel Shape Guided Transformer Network for Instance Segmentation in Remote Sensing Images FN" and
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:56:51.647116Z
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 5c731e43-ef83-4781-b94c-89e247d46b8c · outbound
This paper cites Segment anything.
A Novel Shape Guided Transformer Network for Instance Segmentation in Remote Sensing Images Segment anything
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:56:51.051150Z
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 97afa013-0a40-4ae5-8562-2b67a7db8323 · outbound
This paper cites Gated-scnn: Gated shape cnns for semantic segmentation.
A Novel Shape Guided Transformer Network for Instance Segmentation in Remote Sensing Images Gated-scnn: Gated shape cnns for semantic segmentation
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:56:51.037858Z
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 9c0a8acb-9c4d-4d68-a86c-f87a0ade2979 · outbound
This paper cites Semantic image segmentation with task-specific edge detection using cnns and a discriminatively trained domain transform.
A Novel Shape Guided Transformer Network for Instance Segmentation in Remote Sensing Images Semantic image segmentation with task-specific edge detection using cnns and a discriminatively trained domain transform
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:56:51.024662Z
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 0e1a30d9-65a4-43ee-a7e4-60839763a665 · outbound
This paper cites Boundary-preserving mask r-cnn.
A Novel Shape Guided Transformer Network for Instance Segmentation in Remote Sensing Images Boundary-preserving mask r-cnn
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:56:51.010174Z
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 77c8debb-a057-4b23-9e43-0e615b847aa2 · outbound
This paper cites Distance Map Loss Penalty Term for Semantic Segmentation.
A Novel Shape Guided Transformer Network for Instance Segmentation in Remote Sensing Images Distance Map Loss Penalty Term for Semantic Segmentation
Reference 63
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T22:56:50.755260Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2cefa14f-6e73-4ec8-945f-25791b206130 · outbound
This paper cites Boundary loss for highly unbalanced segmentation.
A Novel Shape Guided Transformer Network for Instance Segmentation in Remote Sensing Images Boundary loss for highly unbalanced segmentation
Reference 64
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:56:50.996318Z
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 8886b98b-9010-4a0b-b151-48a39bf1d2c8 · outbound
This paper cites A new spatial-oriented object detection framework for remote sensing images,.
A Novel Shape Guided Transformer Network for Instance Segmentation in Remote Sensing Images A new spatial-oriented object detection framework for remote sensing images,
Reference 65
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:56:50.982952Z
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 8a1b6088-b452-4737-ad6f-3f39025ba911 · outbound
This paper cites UNet++: A nested u-net architecture for medical image segmentation.
A Novel Shape Guided Transformer Network for Instance Segmentation in Remote Sensing Images UNet++: A nested u-net architecture for medical image segmentation
Reference 66
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:56:50.969271Z
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 93368410-3f02-4a3f-8242-149e21f8124a · outbound
This paper cites Instance Normalization: The Missing Ingredient for Fast Stylization.
A Novel Shape Guided Transformer Network for Instance Segmentation in Remote Sensing Images Instance Normalization: The Missing Ingredient for Fast Stylization
Reference 67
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T22:56:50.773332Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1e5f2128-084a-41e6-9ce0-c20d6cc9dbce · outbound
This paper cites Fully convolutional networks for multisource building extraction from an open aeri al and satellite imagery data set,.
A Novel Shape Guided Transformer Network for Instance Segmentation in Remote Sensing Images Fully convolutional networks for multisource building extraction from an open aeri al and satellite imagery data set,
Reference 68
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:56:50.939176Z
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 288c7786-db54-456a-a9ee-8756492f9945 · outbound
This paper cites A dataset of building instances of typical cities in China,.
A Novel Shape Guided Transformer Network for Instance Segmentation in Remote Sensing Images A dataset of building instances of typical cities in China,
Reference 69
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:56:50.924619Z
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 c4b84b06-54cc-4dbe-8404-2ba2bc393a7b · outbound
This paper cites Microsoft COCO Captions: Data Collection and Evaluation Server.
A Novel Shape Guided Transformer Network for Instance Segmentation in Remote Sensing Images Microsoft COCO Captions: Data Collection and Evaluation Server
Reference 70
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T22:56:50.791217Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 83c67ea2-1f70-460f-9c2c-8c226f673db8 · outbound
This paper cites Object detection and instance segmentation in remote sensing imagery based on precise mask R- CNN.
A Novel Shape Guided Transformer Network for Instance Segmentation in Remote Sensing Images Object detection and instance segmentation in remote sensing imagery based on precise mask R- CNN
Reference 71
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:56:50.910739Z
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 f657e691-b08f-427a-b7a6-d6fc7dfbff39 · outbound
This paper cites DCTC: Fast and Accurate Contour-Based Instance Segmentation with DCT Encoding for High Resolution Remote Sensing Images,.
A Novel Shape Guided Transformer Network for Instance Segmentation in Remote Sensing Images DCTC: Fast and Accurate Contour-Based Instance Segmentation with DCT Encoding for High Resolution Remote Sensing Images,
Reference 72
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:56:50.897404Z
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.
Pith citing papers
No inbound Pith citation observations are available.