O2Former:Direction-Aware and Multi-Scale Query Enhancement for SAR Ship Instance Segmentation | Paper Citation Record

Observation d95635d5-b886-4267-80f6-ff0fcd9d75ae · outbound

This paper cites Cloud adversarial example generation for remote sensing image classification,.

O2Former:Direction-Aware and Multi-Scale Query Enhancement for SAR Ship Instance Segmentation Cloud adversarial example generation for remote sensing image classification,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T01:07:26.182994Z

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Observation a5330585-564b-482c-83c2-a1b4cf5ccf1a · outbound

This paper cites Improving doa estimation of gnss interference through sparse non-uniform array reconfiguration,.

O2Former:Direction-Aware and Multi-Scale Query Enhancement for SAR Ship Instance Segmentation Improving doa estimation of gnss interference through sparse non-uniform array reconfiguration,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:07:28.373590Z

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Observation 9c34ec3a-754b-49c7-be60-2a7508a5e83a · outbound

This paper cites Novel category discovery without forgetting for automatic target recognition,.

O2Former:Direction-Aware and Multi-Scale Query Enhancement for SAR Ship Instance Segmentation Novel category discovery without forgetting for automatic target recognition,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:07:28.360307Z

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Observation 63c6419d-f768-4b1c-b997-3350332b4857 · outbound

This paper cites Few- shot class-incremental sar target recognition via orthogonal distributed features,.

O2Former:Direction-Aware and Multi-Scale Query Enhancement for SAR Ship Instance Segmentation Few- shot class-incremental sar target recognition via orthogonal distributed features,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:07:28.346990Z

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Observation 426d6d95-7bc0-4682-b1d2-1dcd6c286b18 · outbound

This paper cites Fast sar image segmentation with deep task-specific superpixel sampling and soft graph convolution,.

O2Former:Direction-Aware and Multi-Scale Query Enhancement for SAR Ship Instance Segmentation Fast sar image segmentation with deep task-specific superpixel sampling and soft graph convolution,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:07:28.333532Z

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Observation aed7db7f-7d9e-48c6-b65e-9e7cb89dd827 · outbound

This paper cites Sar ship detection algorithm based on deep dense sim attention mechanism network,.

O2Former:Direction-Aware and Multi-Scale Query Enhancement for SAR Ship Instance Segmentation Sar ship detection algorithm based on deep dense sim attention mechanism network,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:07:28.319156Z

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Observation 718c7ec2-6e9a-4cf6-9d93-9e10263b6d0b · outbound

This paper cites Scattering characteristics guided network for isar space target component segmen- tation,.

O2Former:Direction-Aware and Multi-Scale Query Enhancement for SAR Ship Instance Segmentation Scattering characteristics guided network for isar space target component segmen- tation,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:07:28.305618Z

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Observation 07a1d536-4083-4349-8cb9-cbf7270f845b · outbound

This paper cites Gland instance segmentation using deep multichannel neural networks,.

O2Former:Direction-Aware and Multi-Scale Query Enhancement for SAR Ship Instance Segmentation Gland instance segmentation using deep multichannel neural networks,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:07:28.291058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d1467026-7790-41b4-91d8-963659d24f8a · outbound

This paper cites Enhancing geometric factors in model learning and inference for object detection and instance segmentation,.

O2Former:Direction-Aware and Multi-Scale Query Enhancement for SAR Ship Instance Segmentation Enhancing geometric factors in model learning and inference for object detection and instance segmentation,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:07:28.276103Z

Source-reported events for the cited work

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Observation abb2d9ee-ae19-4e56-842f-bd64f807a4e7 · outbound

This paper cites Ccldet: A cross-modality and cross-domain low-light detector,.

O2Former:Direction-Aware and Multi-Scale Query Enhancement for SAR Ship Instance Segmentation Ccldet: A cross-modality and cross-domain low-light detector,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:07:28.262154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 45efc988-7b96-4777-811a-c582fdb09ad2 · outbound

This paper cites Edge-constrained guided feature perception network for ship detection in sar images,.

O2Former:Direction-Aware and Multi-Scale Query Enhancement for SAR Ship Instance Segmentation Edge-constrained guided feature perception network for ship detection in sar images,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:07:28.248070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 17fd3646-03be-470a-a429-60770152957a · outbound

This paper cites Multiscale accurate ship detection network driven by multiattention fusion for complex maritime backgrounds,.

O2Former:Direction-Aware and Multi-Scale Query Enhancement for SAR Ship Instance Segmentation Multiscale accurate ship detection network driven by multiattention fusion for complex maritime backgrounds,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:07:28.234310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 26b88a20-971b-45ef-87d8-71095cd214c8 · outbound

This paper cites An improved superpixel-level cfar detection method for ship targets in high-resolution sar images,.

O2Former:Direction-Aware and Multi-Scale Query Enhancement for SAR Ship Instance Segmentation An improved superpixel-level cfar detection method for ship targets in high-resolution sar images,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:07:28.220475Z

Source-reported events for the cited work

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Observation 7d174d19-befa-4f99-bddb-fd0121a07804 · outbound

This paper cites A hybrid improved group search optimization and otsu method for color image segmenta- tion,.

O2Former:Direction-Aware and Multi-Scale Query Enhancement for SAR Ship Instance Segmentation A hybrid improved group search optimization and otsu method for color image segmenta- tion,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:07:28.195753Z

Source-reported events for the cited work

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Observation 8e1f4f5a-76ad-41ea-a765-5117a699091f · outbound

This paper cites An optimal multiedge detector for sar image segmentation,.

O2Former:Direction-Aware and Multi-Scale Query Enhancement for SAR Ship Instance Segmentation An optimal multiedge detector for sar image segmentation,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:07:28.181247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation efa73daf-c982-44eb-9b7d-172c2af9ad58 · outbound

This paper cites Region-merging method with texture pattern attention for sar image segmentation,.

O2Former:Direction-Aware and Multi-Scale Query Enhancement for SAR Ship Instance Segmentation Region-merging method with texture pattern attention for sar image segmentation,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:07:28.166895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 54276ce4-2260-4fad-80bd-a3d02c07783d · outbound

This paper cites Weakly supervised segmentation of sar imagery using superpixel and hierarchically adver- sarial crf,.

O2Former:Direction-Aware and Multi-Scale Query Enhancement for SAR Ship Instance Segmentation Weakly supervised segmentation of sar imagery using superpixel and hierarchically adver- sarial crf,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:07:28.153499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation cc030b53-d61a-46b5-8040-24d40adce7b0 · outbound

This paper cites Sar ship detection dataset (ssdd): Official release and comprehensive data analysis,.

O2Former:Direction-Aware and Multi-Scale Query Enhancement for SAR Ship Instance Segmentation Sar ship detection dataset (ssdd): Official release and comprehensive data analysis,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:07:28.139962Z

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Observation 6d062751-5b5f-49f1-99fb-fe832ca89a2a · outbound

This paper cites Hrsid: A high-resolution sar images dataset for ship detection and instance segmentation,.

O2Former:Direction-Aware and Multi-Scale Query Enhancement for SAR Ship Instance Segmentation Hrsid: A high-resolution sar images dataset for ship detection and instance segmentation,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T01:07:27.405514Z

Source-reported events for the cited work

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Observation fa0c8bd4-8c08-4746-9c4c-3d3d5dae7f01 · outbound

This paper cites Hybrid task cascade for instance segmentation,.

O2Former:Direction-Aware and Multi-Scale Query Enhancement for SAR Ship Instance Segmentation Hybrid task cascade for instance segmentation,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:07:28.117423Z

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Observation f10631f7-248b-4ee4-beef-6c2c4aaef946 · outbound

This paper cites Path aggregation network for instance segmentation,.

O2Former:Direction-Aware and Multi-Scale Query Enhancement for SAR Ship Instance Segmentation Path aggregation network for instance segmentation,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:07:28.103930Z

Source-reported events for the cited work

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Observation bbfb2937-be70-4a2f-a1e8-97f702b11b81 · outbound

This paper cites Mask r-cnn,.

O2Former:Direction-Aware and Multi-Scale Query Enhancement for SAR Ship Instance Segmentation Mask r-cnn,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T01:07:27.417912Z

Source-reported events for the cited work

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Observation 77044c19-36b1-4d75-b692-a5f804f6b059 · outbound

This paper cites Feature pyramid networks for object detection,.

O2Former:Direction-Aware and Multi-Scale Query Enhancement for SAR Ship Instance Segmentation Feature pyramid networks for object detection,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T01:07:27.421744Z

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Observation 674c8e2b-6160-44b8-8463-05ba547a05f3 · outbound

This paper cites Cascade r-cnn: Delving into high quality object detection,.

O2Former:Direction-Aware and Multi-Scale Query Enhancement for SAR Ship Instance Segmentation Cascade r-cnn: Delving into high quality object detection,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:07:28.069621Z

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Observation e09f4490-b703-4a6e-ace9-1973a18202c1 · outbound

This paper cites Mask scoring r-cnn,.

O2Former:Direction-Aware and Multi-Scale Query Enhancement for SAR Ship Instance Segmentation Mask scoring r-cnn,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:07:28.055403Z

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Observation d2ce83e7-b58b-4b0d-a97c-8844505ae56e · outbound

This paper cites Solo: Segmenting objects by locations,.

O2Former:Direction-Aware and Multi-Scale Query Enhancement for SAR Ship Instance Segmentation Solo: Segmenting objects by locations,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:07:28.040208Z

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Observation 2714f025-c1cd-4249-a297-15d879217907 · outbound

This paper cites an unresolved cited work.

O2Former:Direction-Aware and Multi-Scale Query Enhancement for SAR Ship Instance Segmentation Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-08-07T01:07:28.025020Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 671fa709-ada7-4354-a9d0-f8868edb0208 · outbound

This paper cites Yolact: Real-time instance segmentation,.

O2Former:Direction-Aware and Multi-Scale Query Enhancement for SAR Ship Instance Segmentation Yolact: Real-time instance segmentation,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:07:28.010808Z

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Observation 2651f47a-01da-4500-ba3a-f519abf8d832 · outbound

This paper cites Hq- isnet: High-quality instance segmentation for remote sensing imagery,.

O2Former:Direction-Aware and Multi-Scale Query Enhancement for SAR Ship Instance Segmentation Hq- isnet: High-quality instance segmentation for remote sensing imagery,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:07:27.995538Z

Source-reported events for the cited work

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Observation 38da7e74-7a52-4de9-9858-2bb8af3d6f11 · outbound

This paper cites Scale in scale for sar ship instance segmentation,.

O2Former:Direction-Aware and Multi-Scale Query Enhancement for SAR Ship Instance Segmentation Scale in scale for sar ship instance segmentation,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:07:27.981516Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5038db10-fec0-4879-8b1d-89c6b25bd481 · outbound

This paper cites Learning to aggregate multi-scale context for instance segmentation in remote sensing images,.

O2Former:Direction-Aware and Multi-Scale Query Enhancement for SAR Ship Instance Segmentation Learning to aggregate multi-scale context for instance segmentation in remote sensing images,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:07:27.966545Z

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Observation f18fea34-95b0-4670-9afb-bec5f587b140 · outbound

This paper cites Segment anything,.

O2Former:Direction-Aware and Multi-Scale Query Enhancement for SAR Ship Instance Segmentation Segment anything,

Reference 33

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Observation 4c01918e-6654-4c22-969b-a2939cc3fb2f · outbound

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

O2Former:Direction-Aware and Multi-Scale Query Enhancement for SAR Ship Instance Segmentation An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T01:07:27.462047Z

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Observation 45272d71-c367-4d5a-bf60-7a0a85b1f5d2 · outbound

This paper cites End-to-end object detection with transformers,.

O2Former:Direction-Aware and Multi-Scale Query Enhancement for SAR Ship Instance Segmentation End-to-end object detection with transformers,

Reference 35

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Observation 9c851e58-6b1b-4430-88c6-209e5881637b · outbound

This paper cites Masked-attention mask transformer for universal image segmentation,.

O2Former:Direction-Aware and Multi-Scale Query Enhancement for SAR Ship Instance Segmentation Masked-attention mask transformer for universal image segmentation,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T01:07:27.470819Z

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Observation ed856863-66ce-4d05-90a2-72b0f6c90868 · outbound

This paper cites Segmenter: Trans- former for semantic segmentation,.

O2Former:Direction-Aware and Multi-Scale Query Enhancement for SAR Ship Instance Segmentation Segmenter: Trans- former for semantic segmentation,

Reference 37

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Observation 33bbd7af-d607-4a85-9062-e592cbb6e9c7 · outbound

This paper cites Segformer: Simple and efficient design for semantic segmentation with transformers,.

O2Former:Direction-Aware and Multi-Scale Query Enhancement for SAR Ship Instance Segmentation Segformer: Simple and efficient design for semantic segmentation with transformers,

Reference 38

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Observation 92e84c0c-81b9-40d6-81ff-ead96053b27d · outbound

This paper cites Rsprompter: Learning to prompt for remote sensing instance seg- mentation based on visual foundation model,.

O2Former:Direction-Aware and Multi-Scale Query Enhancement for SAR Ship Instance Segmentation Rsprompter: Learning to prompt for remote sensing instance seg- mentation based on visual foundation model,

Reference 39

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Observation 95928ff7-e691-48e9-8344-821966a70aac · outbound

This paper cites Ef- ficient instance segmentation paradigm for interpreting sar and optical images,.

O2Former:Direction-Aware and Multi-Scale Query Enhancement for SAR Ship Instance Segmentation Ef- ficient instance segmentation paradigm for interpreting sar and optical images,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:07:27.907436Z

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Observation e17c6475-6ed4-4da0-8dbf-cd2c5eec516c · outbound

This paper cites IMAGGarment: Fine-Grained Garment Generation for Controllable Fashion Design.

O2Former:Direction-Aware and Multi-Scale Query Enhancement for SAR Ship Instance Segmentation IMAGGarment: Fine-Grained Garment Generation for Controllable Fashion Design

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T01:07:27.489672Z

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Observation d416d1f7-be24-461e-8356-a56fe2baac57 · outbound

This paper cites DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR.

O2Former:Direction-Aware and Multi-Scale Query Enhancement for SAR Ship Instance Segmentation DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR

Reference 42

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Observation 94a1ccb0-f3f6-44f5-b449-d292005b5ac1 · outbound

This paper cites DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection.

O2Former:Direction-Aware and Multi-Scale Query Enhancement for SAR Ship Instance Segmentation DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection

Reference 43

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Observation 4d060991-fe5f-4983-98f6-27984859547c · outbound

This paper cites Fastinst: A simple query-based model for real-time instance segmentation,.

O2Former:Direction-Aware and Multi-Scale Query Enhancement for SAR Ship Instance Segmentation Fastinst: A simple query-based model for real-time instance segmentation,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:07:27.893929Z

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Observation 722ac737-8f8d-43a3-b85d-308aaba828b4 · outbound

This paper cites Imagdressing-v1: Customizable virtual dressing,.

O2Former:Direction-Aware and Multi-Scale Query Enhancement for SAR Ship Instance Segmentation Imagdressing-v1: Customizable virtual dressing,

Reference 45

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Observation deb3635f-6ef6-405e-a8f0-f6ee0187fc77 · outbound

This paper cites Imagpose: A unified conditional framework for pose-guided person generation,.

O2Former:Direction-Aware and Multi-Scale Query Enhancement for SAR Ship Instance Segmentation Imagpose: A unified conditional framework for pose-guided person generation,

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T01:07:27.510871Z

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Observation e17b9bcc-12f1-45e0-933a-f8bf6f8fdb9c · outbound

This paper cites Long-Term TalkingFace Generation via Motion-Prior Conditional Diffusion Model.

O2Former:Direction-Aware and Multi-Scale Query Enhancement for SAR Ship Instance Segmentation Long-Term TalkingFace Generation via Motion-Prior Conditional Diffusion Model

Reference 47

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Observation af6f0012-ee74-4ee1-a2ec-c7b35c4b6e94 · outbound

This paper cites Dawn: Direction-aware attention wavelet network for image deraining,.

O2Former:Direction-Aware and Multi-Scale Query Enhancement for SAR Ship Instance Segmentation Dawn: Direction-aware attention wavelet network for image deraining,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:07:27.860835Z

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Observation c5c8cb81-8fa5-46eb-8b65-bf03590932d7 · outbound

This paper cites Direction-aware attention aggregation for single-stage hazy-weather crowd counting,.

O2Former:Direction-Aware and Multi-Scale Query Enhancement for SAR Ship Instance Segmentation Direction-aware attention aggregation for single-stage hazy-weather crowd counting,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:07:27.845979Z

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Observation 924fe30b-7c8f-40f0-ba7c-0b89195d9d63 · outbound

This paper cites Building extraction from remote sensing images with sparse token transformers,.

O2Former:Direction-Aware and Multi-Scale Query Enhancement for SAR Ship Instance Segmentation Building extraction from remote sensing images with sparse token transformers,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:07:27.832552Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4d2e18af-3e9a-4066-859b-b93b1621ee09 · outbound

This paper cites Direction-aware multi-branch attention and gaussian label assignment for remote sensing aggregative object detection,.

O2Former:Direction-Aware and Multi-Scale Query Enhancement for SAR Ship Instance Segmentation Direction-aware multi-branch attention and gaussian label assignment for remote sensing aggregative object detection,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:07:27.819180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ad6c42a2-067b-49eb-b6fa-de305014d00b · outbound

This paper cites Arbitrary-oriented ship detection based on kullback-leibler divergence regression in remote sensing images,.

O2Former:Direction-Aware and Multi-Scale Query Enhancement for SAR Ship Instance Segmentation Arbitrary-oriented ship detection based on kullback-leibler divergence regression in remote sensing images,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:07:27.805291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 52b28017-fe5e-4055-ab99-c9d61e483d82 · outbound

This paper cites Advancing Pose-Guided Image Synthesis with Progressive Conditional Diffusion Models.

O2Former:Direction-Aware and Multi-Scale Query Enhancement for SAR Ship Instance Segmentation Advancing Pose-Guided Image Synthesis with Progressive Conditional Diffusion Models

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-07T01:07:27.538461Z

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Unavailable: canonical work link unavailable.

Observation d8d7c924-72ee-4fc9-947a-f1d9b7581185 · outbound

This paper cites Boost- ing consistency in story visualization with rich-contextual conditional diffusion models,.

O2Former:Direction-Aware and Multi-Scale Query Enhancement for SAR Ship Instance Segmentation Boost- ing consistency in story visualization with rich-contextual conditional diffusion models,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:07:27.791915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b0bcd2c7-5713-4f7e-ace0-fcd9da92412c · outbound

This paper cites Microsoft coco: Common objects in context,.

O2Former:Direction-Aware and Multi-Scale Query Enhancement for SAR Ship Instance Segmentation Microsoft coco: Common objects in context,

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-07T01:07:27.546257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25a35788-454b-4f63-8fc6-39bf9ed60cb4 · outbound

This paper cites Conditional convolutions for instance segmentation,.

O2Former:Direction-Aware and Multi-Scale Query Enhancement for SAR Ship Instance Segmentation Conditional convolutions for instance segmentation,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:07:27.767117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1bfbda2e-f71f-4977-ba7d-673c6625fdea · outbound

This paper cites RTMDet: An Empirical Study of Designing Real-Time Object Detectors.

O2Former:Direction-Aware and Multi-Scale Query Enhancement for SAR Ship Instance Segmentation RTMDet: An Empirical Study of Designing Real-Time Object Detectors

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-07T01:07:27.554568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5ecde95-7273-4c78-9ca4-6fede307f690 · outbound

This paper cites Anchor-free sar ship instance segmentation with centroid-distance based loss,.

O2Former:Direction-Aware and Multi-Scale Query Enhancement for SAR Ship Instance Segmentation Anchor-free sar ship instance segmentation with centroid-distance based loss,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:07:27.753111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5fcce935-379e-4ef5-ace8-85c5d2dba7d1 · outbound

This paper cites Ship instance segmentation based on rotated bounding boxes for sar images,.

O2Former:Direction-Aware and Multi-Scale Query Enhancement for SAR Ship Instance Segmentation Ship instance segmentation based on rotated bounding boxes for sar images,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:07:27.739977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3f1c3b14-ccc9-497d-ae9c-23955596c545 · outbound

This paper cites Diffsarshipinst: Diffusion model for ship instance segmentation from synthetic aperture radar imagery,.

O2Former:Direction-Aware and Multi-Scale Query Enhancement for SAR Ship Instance Segmentation Diffsarshipinst: Diffusion model for ship instance segmentation from synthetic aperture radar imagery,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:07:27.725804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation df2730e0-4f5c-421f-b5c8-382c8b1b68f6 · outbound

This paper cites degree in informa- tion engineering from the School of Mechanical and Electric Engineering,Guangzhou University, Guangzhou, China, in 2012, and the Ph.D.

O2Former:Direction-Aware and Multi-Scale Query Enhancement for SAR Ship Instance Segmentation degree in informa- tion engineering from the School of Mechanical and Electric Engineering,Guangzhou University, Guangzhou, China, in 2012, and the Ph.D

Reference 1991

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:07:27.711451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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