Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T19:54:24.019130Z
Paper Citation Record · LEDGER
As of 17 August 2026, this Paper Citation Record lists 82 of 82 outbound references and 0 inbound Pith citation observations for arXiv:2506.14686.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T19:54:24.019130Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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
82 of 82 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 1f0ba883-4da0-47de-b63b-d07c7f97a3ee · outbound
FocalClick-XL: Towards Unified and High-quality Interactive Segmentation Interactive object segmentation with inside-outside guidance
Reference 1
Source-reported events for the cited work
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Observation 8383ad9c-3fe3-4be8-8f92-11f548edc86b · outbound
FocalClick-XL: Towards Unified and High-quality Interactive Segmentation Segment Anything
Reference 2
Source-reported events for the cited work
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Observation 9221f096-12c8-4165-b001-8ebe7c6c82d9 · outbound
FocalClick-XL: Towards Unified and High-quality Interactive Segmentation Error-tolerant scribbles based interactive image segmentation
Reference 3
Source-reported events for the cited work
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Observation 807ebc57-855e-4d8f-ab76-d0a1808a3394 · outbound
FocalClick-XL: Towards Unified and High-quality Interactive Segmentation Efficient Full Image Interactive Segmentation by Leveraging Within-image Appearance Similarity
Reference 4
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Observation 2e11ea69-c95f-467f-beda-856aa4e35729 · outbound
FocalClick-XL: Towards Unified and High-quality Interactive Segmentation Deepigeos: a deep interactive geodesic framework for medical image segmentation.TP AMI,
Reference 5
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Observation d3e6d0ff-d55b-4667-baf9-719fecd083b3 · outbound
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Reference 6
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Observation 58d65bcd-9ee4-41bc-8fca-6e100446084b · outbound
FocalClick-XL: Towards Unified and High-quality Interactive Segmentation Reviving Iterative Training with Mask Guidance for Interactive Segmentation
Reference 7
Source-reported events for the cited work
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Observation 1df80b1b-98e1-4287-87b7-2fc792f78af3 · outbound
FocalClick-XL: Towards Unified and High-quality Interactive Segmentation Simpleclick: Interactive image segmentation with simple vision transformers
Reference 8
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Observation 18f4cb01-b9c9-4676-8f58-bef900063138 · outbound
FocalClick-XL: Towards Unified and High-quality Interactive Segmentation Focalclick: Towards practical interactive image segmentation
Reference 9
Source-reported events for the cited work
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Observation 52caeb5e-82a0-4e93-bef7-08a202043399 · outbound
FocalClick-XL: Towards Unified and High-quality Interactive Segmentation Conditional diffusion for interactive segmentation
Reference 10
Source-reported events for the cited work
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Observation 311944b4-a777-476a-a8fc-72161d8307b2 · outbound
FocalClick-XL: Towards Unified and High-quality Interactive Segmentation Iteratively trained interactive segmentation
Reference 11
Source-reported events for the cited work
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Observation b2050adf-fe23-4b95-95f5-67d1e6f3794b · outbound
FocalClick-XL: Towards Unified and High-quality Interactive Segmentation Interactive image segmentation with first click attention
Reference 12
Source-reported events for the cited work
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Observation 28a0cfe0-a2b6-4e14-a89b-1f9222073f30 · outbound
FocalClick-XL: Towards Unified and High-quality Interactive Segmentation Edge- flow: Achieving practical interactive segmentation with edge- guided flow
Reference 13
Source-reported events for the cited work
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Observation 9bf65ee5-49a9-44fe-8592-cb4d8cfde65e · outbound
FocalClick-XL: Towards Unified and High-quality Interactive Segmentation f-brs: Rethinking backpropagating refinement for interactive segmentation
Reference 14
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation edd6d955-7bd8-4339-8495-a15d0de978e6 · outbound
FocalClick-XL: Towards Unified and High-quality Interactive Segmentation ” grabcut” interactive foreground extraction using iterated graph cuts.TOG, 2004
Reference 15
Source-reported events for the cited work
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Observation 8f583fba-e3e2-4d00-8363-4cfa1708db96 · outbound
FocalClick-XL: Towards Unified and High-quality Interactive Segmentation Geodesic star convexity for interactive image segmentation
Reference 16
Source-reported events for the cited work
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Observation f3e5b3b3-f96c-421f-9b3d-62892fae673d · outbound
FocalClick-XL: Towards Unified and High-quality Interactive Segmentation Random walks for image segmentation.TP AMI, 2006
Reference 17
Source-reported events for the cited work
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Observation 07a34cdb-42e7-4ab9-b3f4-bb3f23e4e03d · outbound
FocalClick-XL: Towards Unified and High-quality Interactive Segmentation Nonparametric higher-order learning for interactive segmentation
Reference 18
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 653591ad-bee0-44cd-ae48-b550f8f5c323 · outbound
FocalClick-XL: Towards Unified and High-quality Interactive Segmentation Deep interactive object selection
Reference 19
Source-reported events for the cited work
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Observation 6dc893a2-6d59-4cc5-ac19-63be4a52ff78 · outbound
FocalClick-XL: Towards Unified and High-quality Interactive Segmentation Interactive image segmentation with latent diversity
Reference 20
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Observation ce263fd9-39bb-49ee-a6f7-366d106a19b0 · outbound
FocalClick-XL: Towards Unified and High-quality Interactive Segmentation Multiseg: Semantically meaningful, scale-diverse segmentations from minimal user input
Reference 21
Source-reported events for the cited work
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Observation 1b536c05-8ec5-4f33-a33d-fd656f3a2f9c · outbound
FocalClick-XL: Towards Unified and High-quality Interactive Segmentation Interactive image segmenta- tion via backpropagating refinement scheme
Reference 22
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Observation 041a353d-2d2f-4c78-8066-f14bfda3fe3f · outbound
FocalClick-XL: Towards Unified and High-quality Interactive Segmentation Scrib- blesup: Scribble-supervised convolutional networks for semantic segmentation
Reference 23
Source-reported events for the cited work
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Observation 444521d2-f496-4342-8e07-34e4f44a64aa · outbound
FocalClick-XL: Towards Unified and High-quality Interactive Segmentation Robust interactive image segmen- tation via graph-based manifold ranking
Reference 24
Source-reported events for the cited work
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Observation 8d8ad0ef-1017-46de-b52b-7f4f55970ff4 · outbound
FocalClick-XL: Towards Unified and High-quality Interactive Segmentation Scribble based interactive page layout segmentation using gabor filter
Reference 25
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 5082f9a2-bde3-4160-be34-872c25b680bb · outbound
FocalClick-XL: Towards Unified and High-quality Interactive Segmentation Semantic-SAM: Segment and Recognize Anything at Any Granularity
Reference 26
Source-reported events for the cited work
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Observation 5793f90b-c3fa-4910-b0e7-939d398d08f9 · outbound
FocalClick-XL: Towards Unified and High-quality Interactive Segmentation Beyond Adapting SAM: Towards End-to-End Ultrasound Image Segmentation via Auto Prompting
Reference 27
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Unavailable: canonical work link unavailable.
Observation c30c5295-aebe-48d5-8c3b-c3877ac0b728 · outbound
FocalClick-XL: Towards Unified and High-quality Interactive Segmentation Segment and Track Anything
Reference 28
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Unavailable: canonical work link unavailable.
Observation 13d7ffcd-8505-4536-8778-7593cf2e8a18 · outbound
FocalClick-XL: Towards Unified and High-quality Interactive Segmentation Track Anything: Segment Anything Meets Videos
Reference 29
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Unavailable: canonical work link unavailable.
Observation 25959010-1dc1-4ee1-a92c-2361abd86c79 · outbound
FocalClick-XL: Towards Unified and High-quality Interactive Segmentation SAM3D: Segment Anything in 3D Scenes
Reference 30
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Observation a719bef9-3b5f-4766-8381-daff5c19c367 · outbound
FocalClick-XL: Towards Unified and High-quality Interactive Segmentation SAM3D: Zero-Shot 3D Object Detection via Segment Anything Model
Reference 31
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Observation a6bd4c66-8093-416a-ba82-261b0677c87d · outbound
FocalClick-XL: Towards Unified and High-quality Interactive Segmentation Caption Anything: Interactive Image Description with Diverse Multimodal Controls
Reference 32
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Observation 7583e2b9-fcc4-486a-9f61-f34a0c960468 · outbound
FocalClick-XL: Towards Unified and High-quality Interactive Segmentation Inpaint Anything: Segment Anything Meets Image Inpainting
Reference 33
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Observation 1480dc0b-6a63-415d-a4f8-34545b26fcf3 · outbound
FocalClick-XL: Towards Unified and High-quality Interactive Segmentation Segment Anything in High Quality
Reference 34
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Observation c5ba8476-d350-49f2-b526-b481d714797e · outbound
FocalClick-XL: Towards Unified and High-quality Interactive Segmentation Segment Everything Everywhere All at Once
Reference 35
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Observation 6ad9a663-5789-4c8e-8e01-067ca7f02393 · outbound
FocalClick-XL: Towards Unified and High-quality Interactive Segmentation Sam-adapter: Adapting segment anything in underperformed scenes
Reference 36
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Observation dbd0b853-6a86-4957-97c0-c6f11585d366 · outbound
FocalClick-XL: Towards Unified and High-quality Interactive Segmentation SAM Fails to Segment Anything? -- SAM-Adapter: Adapting SAM in Underperformed Scenes: Camouflage, Shadow, Medical Image Segmentation, and More
Reference 37
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Observation 91bad103-92ab-4abc-a1a2-f805125ff26d · outbound
FocalClick-XL: Towards Unified and High-quality Interactive Segmentation Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation
Reference 38
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Observation f5151343-9345-4927-a95a-e8a5f0786984 · outbound
FocalClick-XL: Towards Unified and High-quality Interactive Segmentation Towards Segment Anything Model (SAM) for Medical Image Segmentation: A Survey
Reference 39
Source-reported events for the cited work
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Observation a435f48c-1a7f-44d8-822b-36e38ab28a13 · outbound
FocalClick-XL: Towards Unified and High-quality Interactive Segmentation MA-SAM: Modality-agnostic SAM Adaptation for 3D Medical Image Segmentation
Reference 40
Source-reported events for the cited work
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Observation 1661fb17-ecc0-4519-b1b7-cfcec83a613c · outbound
FocalClick-XL: Towards Unified and High-quality Interactive Segmentation Regional interactive image segmentation networks
Reference 41
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Observation aa15954b-3737-4175-a25d-58b72ad41c8f · outbound
FocalClick-XL: Towards Unified and High-quality Interactive Segmentation Getting to 99% Accuracy in Interactive Segmentation
Reference 42
Source-reported events for the cited work
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Observation 5e053638-6bf8-4c46-8217-4cd9670a1572 · outbound
FocalClick-XL: Towards Unified and High-quality Interactive Segmentation Pyramid scene parsing network
Reference 43
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Observation 5f09be19-b363-4949-916e-76bec4bd79a9 · outbound
FocalClick-XL: Towards Unified and High-quality Interactive Segmentation Deeplab: Semantic image segmenta- tion with deep convolutional nets, atrous convolution, and fully connected crfs.TP AMI, 2017
Reference 44
Source-reported events for the cited work
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Observation 4a7dcab1-0ad8-4a27-9d43-e5d4cf3f9cc8 · outbound
FocalClick-XL: Towards Unified and High-quality Interactive Segmentation Fully convolutional networks for semantic segmentation
Reference 45
Source-reported events for the cited work
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Observation 17d9f20b-4c19-4c65-94f4-53ef600bbfff · outbound
FocalClick-XL: Towards Unified and High-quality Interactive Segmentation Unified perceptual parsing for scene understanding
Reference 46
Source-reported events for the cited work
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Observation df16a8ff-5c14-46b0-b5be-2bcd94e58950 · outbound
FocalClick-XL: Towards Unified and High-quality Interactive Segmentation Large kernel matters–improve semantic segmentation by global convolutional network
Reference 47
Source-reported events for the cited work
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Observation f9b141de-53a8-4e62-86a1-b45a4d4ba85f · outbound
FocalClick-XL: Towards Unified and High-quality Interactive Segmentation Deep high-resolution representation learning for visual recognition.TP AMI, 2020
Reference 48
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Observation 9fbdb149-fe7d-45b3-837b-c508699df0a3 · outbound
FocalClick-XL: Towards Unified and High-quality Interactive Segmentation Object-contextual representations for semantic segmentation
Reference 49
Source-reported events for the cited work
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Observation abcb1132-1ecc-4679-81c9-ad6b5e66b697 · outbound
FocalClick-XL: Towards Unified and High-quality Interactive Segmentation Segformer: Simple and efficient design for semantic segmentation with transformers
Reference 50
Source-reported events for the cited work
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Observation 5d5da58c-b7ef-4007-a729-93ab2ce1aec9 · outbound
FocalClick-XL: Towards Unified and High-quality Interactive Segmentation Mask r-cnn
Reference 51
Source-reported events for the cited work
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Observation 81231bcf-436a-4aa0-a527-6a03caf26567 · outbound
FocalClick-XL: Towards Unified and High-quality Interactive Segmentation Xception: Deep learning with depthwise separa- ble convolutions
Reference 52
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Observation ec0a139d-c776-41b2-acad-dad697926dc5 · outbound
FocalClick-XL: Towards Unified and High-quality Interactive Segmentation A comparative evalu- ation of interactive segmentation algorithms.Pattern Recognition,
Reference 53
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Observation 11380d35-09d1-4171-a7ea-c729a61add15 · outbound
FocalClick-XL: Towards Unified and High-quality Interactive Segmentation A benchmark dataset and evaluation methodology for video object segmentation
Reference 54
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FocalClick-XL: Towards Unified and High-quality Interactive Segmentation Semantic contours from inverse detectors
Reference 55
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Observation e241eac4-86c9-448f-8e75-8225f70c8343 · outbound
FocalClick-XL: Towards Unified and High-quality Interactive Segmentation Mask r-cnn
Reference 56
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FocalClick-XL: Towards Unified and High-quality Interactive Segmentation Context-aware image matting for simultaneous foreground and alpha estimation
Reference 57
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FocalClick-XL: Towards Unified and High-quality Interactive Segmentation Deep image matting
Reference 58
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FocalClick-XL: Towards Unified and High-quality Interactive Segmentation Mobilenetv2: Inverted residuals and linear bottlenecks
Reference 59
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Observation 546ede9a-d40d-4b7e-ad2a-9893d7acfe7d · outbound
FocalClick-XL: Towards Unified and High-quality Interactive Segmentation Microsoft coco: Common objects in context
Reference 60
Source-reported events for the cited work
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Observation 09668985-dabf-4d98-8f56-720b17b05d7e · outbound
FocalClick-XL: Towards Unified and High-quality Interactive Segmentation Lvis: A dataset for large vocabulary instance segmentation
Reference 61
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Observation 438cd3af-11a2-4153-a598-b20d3ae57cb4 · outbound
FocalClick-XL: Towards Unified and High-quality Interactive Segmentation Salient object detection: A benchmark.TIP, 2015
Reference 62
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FocalClick-XL: Towards Unified and High-quality Interactive Segmentation Scene parsing through ade20k dataset
Reference 63
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Observation 85cf2a6f-9325-45c2-b6aa-c83817fffa7e · outbound
FocalClick-XL: Towards Unified and High-quality Interactive Segmentation Learning to detect salient objects with image-level supervision
Reference 64
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Observation 680bdf71-1975-4be4-b11c-c1b082b69bd6 · outbound
FocalClick-XL: Towards Unified and High-quality Interactive Segmentation YouTube-VOS: A Large-Scale Video Object Segmentation Benchmark
Reference 65
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FocalClick-XL: Towards Unified and High-quality Interactive Segmentation Deep interactive thin object selection
Reference 66
Source-reported events for the cited work
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Observation 3f54f85d-b1ec-44dc-afbc-2e0398e8077c · outbound
FocalClick-XL: Towards Unified and High-quality Interactive Segmentation Dovenet: Deep image harmoniza- tion via domain verification
Reference 67
Source-reported events for the cited work
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Observation 3679311c-c34f-4203-9d9d-c2405747e316 · outbound
FocalClick-XL: Towards Unified and High-quality Interactive Segmentation Bridging composite and real: towards end-to-end deep image matting.IJCV, 2022
Reference 68
Source-reported events for the cited work
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Observation 2f0e97fb-fd01-4853-9a65-199893a46edb · outbound
FocalClick-XL: Towards Unified and High-quality Interactive Segmentation Attention-guided hierarchical structure aggregation for image matting
Reference 69
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Observation 5b6d3658-9f08-4c6b-b85d-0b6579d2b76a · outbound
FocalClick-XL: Towards Unified and High-quality Interactive Segmentation MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Reference 70
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FocalClick-XL: Towards Unified and High-quality Interactive Segmentation Efficientnet: Rethinking model scaling for convolutional neural networks
Reference 71
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FocalClick-XL: Towards Unified and High-quality Interactive Segmentation Deep image matting
Reference 72
Source-reported events for the cited work
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Observation 52fe1cbd-2a30-42d4-8a0d-2883235631b4 · outbound
FocalClick-XL: Towards Unified and High-quality Interactive Segmentation The synthesizability of texture examples
Reference 73
Source-reported events for the cited work
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Observation 84b62405-ccf4-4d24-80ae-1d77e23d823d · outbound
FocalClick-XL: Towards Unified and High-quality Interactive Segmentation Interactive graph cuts for optimal boundary & region segmentation of objects in nd images
Reference 74
Source-reported events for the cited work
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Observation 4d43d691-9c44-4530-99b4-2e8f65f86d4f · outbound
FocalClick-XL: Towards Unified and High-quality Interactive Segmentation Content-aware multi-level guidance for interactive instance segmentation
Reference 75
Source-reported events for the cited work
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Observation a27290b3-c1e8-4bef-a40b-686d65004910 · outbound
FocalClick-XL: Towards Unified and High-quality Interactive Segmentation The pascal visual object classes (voc) challenge.IJCV, (2), 2010
Reference 76
Source-reported events for the cited work
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Observation 9b6b6bcb-64e5-4803-8d3a-c5a8587daa6f · outbound
FocalClick-XL: Towards Unified and High-quality Interactive Segmentation PseudoClick: Interactive Image Segmentation with Click Imitation
Reference 77
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Reference 82
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