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Paper Citation Record · LEDGER

Lightweight RGB-D Salient Object Detection from a Speed-Accuracy Tradeoff Perspective

As of 19 August 2026, this Paper Citation Record lists 70 of 70 outbound references and 0 inbound Pith citation observations for arXiv:2505.04758.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2505.04758 v1

Coverage vector

measured 70 of 70 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:27:05.626609Z

measured 70 of 70 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

70 of 70 outbound references displayed

  • verified exact0
  • verified fuzzy55
  • unresolved15
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e73e4021-3ba5-422e-afe9-cbff04e57fff · outbound

This paper cites Sketch-based image retrieval by salient contour reinforcement,.

Lightweight RGB-D Salient Object Detection from a Speed-Accuracy Tradeoff Perspective Sketch-based image retrieval by salient contour reinforcement,

Reference 1

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raw_fallback, observed 2026-08-15T23:27:06.912709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 72de80c0-1f73-472c-a232-9ae6af30c9da · outbound

This paper cites Non- rigid object tracking via deep multi-scale spatial-temporal discriminative saliency maps,.

Lightweight RGB-D Salient Object Detection from a Speed-Accuracy Tradeoff Perspective Non- rigid object tracking via deep multi-scale spatial-temporal discriminative saliency maps,

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation ca5b5cc7-3a2e-44fc-87b9-f442619d524e · outbound

This paper cites Pranet: Parallel reverse attention network for polyp segmentation,.

Lightweight RGB-D Salient Object Detection from a Speed-Accuracy Tradeoff Perspective Pranet: Parallel reverse attention network for polyp segmentation,

Reference 3

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation f037411b-d403-48cc-9d15-c42cc71e6fb6 · outbound

This paper cites Non-salient region object mining for weakly supervised semantic segmentation,.

Lightweight RGB-D Salient Object Detection from a Speed-Accuracy Tradeoff Perspective Non-salient region object mining for weakly supervised semantic segmentation,

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:27:05.293287Z digest=sha256:127113dbb5ad1dd9a88632a3363239b7233ca37a5cca8102990919fde42daf6d

Observation fc7f01ee-d954-4836-994a-85a2e3552667 · outbound

This paper cites Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data.

Lightweight RGB-D Salient Object Detection from a Speed-Accuracy Tradeoff Perspective Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data

Reference 5

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source=pdf_text observed=2026-08-15T23:27:05.298307Z digest=sha256:c74887a44287c490c4d2f0f0741cc6e8360ebee04d5311b99279e000d653442f

Observation e8ea6d70-2b85-42ea-b4bc-4c4a0ee3296f · outbound

This paper cites Squeeze-and-excitation networks,.

Lightweight RGB-D Salient Object Detection from a Speed-Accuracy Tradeoff Perspective Squeeze-and-excitation networks,

Reference 6

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source=pdf_text observed=2026-08-15T23:27:05.304152Z digest=sha256:a00ac382c6c1e7a27bb650a882e47ad163b19b0557f4e390e7c155ce4f1e4d4e

Observation 1c6e711c-294c-4fe0-b5cb-f9fccb667119 · outbound

This paper cites Cbam: Convolutional block attention module,.

Lightweight RGB-D Salient Object Detection from a Speed-Accuracy Tradeoff Perspective Cbam: Convolutional block attention module,

Reference 7

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source=pdf_text observed=2026-08-15T23:27:05.309483Z digest=sha256:00aa9edc61f8448ecc5c779c7a3af647d6de45a2b68d540bd61f11f86d043c26

Observation c0fb7a63-9b12-4188-83fd-d489bf60054b · outbound

This paper cites Attention is all you need,.

Lightweight RGB-D Salient Object Detection from a Speed-Accuracy Tradeoff Perspective Attention is all you need,

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T23:27:05.314416Z digest=sha256:fc5120de65e3d9542532401599700b9949631f8d4a774184af17c2c39af839d2

Observation cd3cee0b-2948-45de-ab34-9e8fe77fb633 · outbound

This paper cites Hi- danet: Rgb-d salient object detection via hierarchical depth awareness,.

Lightweight RGB-D Salient Object Detection from a Speed-Accuracy Tradeoff Perspective Hi- danet: Rgb-d salient object detection via hierarchical depth awareness,

Reference 9

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source=pdf_text observed=2026-08-15T23:27:05.319258Z digest=sha256:044c7cfad986cc2e4e7e3965d3885af1b4a50c45aca3e25809ce494b14b7ed25

Observation 32542cc7-c943-434e-8613-27387eaa26f6 · outbound

This paper cites Dgfnet: Depth-guided cross- modality fusion network for rgb-d salient object detection,.

Lightweight RGB-D Salient Object Detection from a Speed-Accuracy Tradeoff Perspective Dgfnet: Depth-guided cross- modality fusion network for rgb-d salient object detection,

Reference 10

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source=pdf_text observed=2026-08-15T23:27:05.324200Z digest=sha256:f0e002af1827d59258024f12d0da3037a42abeb13791259e43f140d2fa5b0f9a

Observation cf4e694e-ed91-4056-8297-43781ab24b64 · outbound

This paper cites Learning implicit class knowledge for rgb-d co-salient object detection with transformers,.

Lightweight RGB-D Salient Object Detection from a Speed-Accuracy Tradeoff Perspective Learning implicit class knowledge for rgb-d co-salient object detection with transformers,

Reference 11

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation f7c7ee36-2b33-4853-bc31-f58fea6b9626 · outbound

This paper cites Transformer fusion and pixel- level contrastive learning for rgb-d salient object detection,.

Lightweight RGB-D Salient Object Detection from a Speed-Accuracy Tradeoff Perspective Transformer fusion and pixel- level contrastive learning for rgb-d salient object detection,

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T23:27:05.339047Z digest=sha256:758d65adebd186cbb2a95fb85ce736dd3da0626c75c37127eec1f76dc6c179a9

Observation 83741142-6245-4a9d-ad9f-38e416651780 · outbound

This paper cites A simple pooling- based design for real-time salient object detection,.

Lightweight RGB-D Salient Object Detection from a Speed-Accuracy Tradeoff Perspective A simple pooling- based design for real-time salient object detection,

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T23:27:05.343672Z digest=sha256:c4b4f028724c90116364b12683157e6eb6d1d6f1b728a3d403cf0a70048b3d20

Observation 289ebfce-094c-4e22-abc7-4ef7ed168e4f · outbound

This paper cites Larnet: Towards lightweight, accurate and real-time salient object detection,.

Lightweight RGB-D Salient Object Detection from a Speed-Accuracy Tradeoff Perspective Larnet: Towards lightweight, accurate and real-time salient object detection,

Reference 15

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T23:27:05.348368Z digest=sha256:8357ee7b27b4013649f77790f2fb75427101fcf48fbdc1049cc899d92d8509d5

Observation ad0a003d-d0c3-419d-915b-5c3e46943640 · outbound

This paper cites Depthwise nonlocal module for fast salient object detection using a single thread,.

Lightweight RGB-D Salient Object Detection from a Speed-Accuracy Tradeoff Perspective Depthwise nonlocal module for fast salient object detection using a single thread,

Reference 16

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T23:27:05.353190Z digest=sha256:47f2f9038b28f740d09f95b14909c13a519a669f28f24137b3e2d6f4be271121

Observation 492497fc-7e91-49fb-9e3e-917e9a1e6344 · outbound

This paper cites Feature calibrating and fusing network for rgb-d salient object detection,.

Lightweight RGB-D Salient Object Detection from a Speed-Accuracy Tradeoff Perspective Feature calibrating and fusing network for rgb-d salient object detection,

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T23:27:05.357920Z digest=sha256:0fba3c43b7b565bd15b6d33390f0662d5c4c30864668c41a78032910e1392600

Observation 34fa6df7-ffbe-4ec8-97fd-c10b87ff9278 · outbound

This paper cites Disentangled cross- modal transformer for rgb-d salient object detection and beyond,.

Lightweight RGB-D Salient Object Detection from a Speed-Accuracy Tradeoff Perspective Disentangled cross- modal transformer for rgb-d salient object detection and beyond,

Reference 18

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T23:27:05.362741Z digest=sha256:33dfc83adbf72a4e327b507ecd15ed9041d32fdf156f34ea4766032dec533315

Observation 4dba1e62-b9ae-4f6e-a2ad-fa4802946119 · outbound

This paper cites 3-d convolutional neural networks for rgb-d salient object detection and beyond,.

Lightweight RGB-D Salient Object Detection from a Speed-Accuracy Tradeoff Perspective 3-d convolutional neural networks for rgb-d salient object detection and beyond,

Reference 19

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source=pdf_text observed=2026-08-15T23:27:05.367832Z digest=sha256:3cbb5e365faf220b60efd8960e061babbf41e5183e9910dcdad1b43f9c39a106

Observation b70e5da4-e07b-432e-a7c9-736e211d029b · outbound

This paper cites Robust perception and precise segmentation for scribble- supervised rgb-d saliency detection,.

Lightweight RGB-D Salient Object Detection from a Speed-Accuracy Tradeoff Perspective Robust perception and precise segmentation for scribble- supervised rgb-d saliency detection,

Reference 20

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T23:27:05.374389Z digest=sha256:4397fe92c1c14e2ffe57f6241630d1f9e7414e02676c830095b1e332976487d5

Observation a7403c2a-4985-4d7d-8d11-48fab7a170c5 · outbound

This paper cites Point-aware interaction and cnn-induced refinement network for rgb- d salient object detection,.

Lightweight RGB-D Salient Object Detection from a Speed-Accuracy Tradeoff Perspective Point-aware interaction and cnn-induced refinement network for rgb- d salient object detection,

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation dfbc8d8d-1066-4a53-9c42-54ca37f563ec · outbound

This paper cites Modality-induced transfer-fusion network for rgb-d and rgb-t salient object detection,.

Lightweight RGB-D Salient Object Detection from a Speed-Accuracy Tradeoff Perspective Modality-induced transfer-fusion network for rgb-d and rgb-t salient object detection,

Reference 22

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T23:27:05.384176Z digest=sha256:3219424346faa72d2f590080e883659a9f2c026222ea723e7af0f24ef1c1d538

Observation 6bb7b66a-56ca-46bc-abe0-342fb971e1bd · outbound

This paper cites Hfmdnet: Hierarchical fusion and multi-level decoder network for rgb- d salient object detection,.

Lightweight RGB-D Salient Object Detection from a Speed-Accuracy Tradeoff Perspective Hfmdnet: Hierarchical fusion and multi-level decoder network for rgb- d salient object detection,

Reference 23

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T23:27:05.388782Z digest=sha256:3e6c707694d01ccb6f2e97fae4260d03705df3c23d9b4fdbc5a53ca4c1a2b866

Observation 17466a7c-3809-4db5-98cb-983778fb7c06 · outbound

This paper cites A2dele: Adaptive and attentive depth distiller for efficient rgb-d salient object detection,.

Lightweight RGB-D Salient Object Detection from a Speed-Accuracy Tradeoff Perspective A2dele: Adaptive and attentive depth distiller for efficient rgb-d salient object detection,

Reference 24

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T23:27:05.393852Z digest=sha256:6fcacc830e6f6901418c36f17d7e85e0967e9aa06faa7a326c77fa7a375c8739

Observation c725418e-1193-4da2-89a9-6ac813b0da3e · outbound

This paper cites Salient object detection in rgb-d videos,.

Lightweight RGB-D Salient Object Detection from a Speed-Accuracy Tradeoff Perspective Salient object detection in rgb-d videos,

Reference 25

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T23:27:05.398619Z digest=sha256:94c75d55143abcc5012806dad194249367cf2f55e76a9fe70b572f18f72b1925

Observation 976d6974-cd7d-4e53-bc39-46304f18fbd9 · outbound

This paper cites Lsnet: Lightweight spatial boosting network for detecting salient objects in rgb-thermal images,.

Lightweight RGB-D Salient Object Detection from a Speed-Accuracy Tradeoff Perspective Lsnet: Lightweight spatial boosting network for detecting salient objects in rgb-thermal images,

Reference 26

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T23:27:05.403500Z digest=sha256:447d6c319c7ae6469d4b55e79635780cb188506886ce6a605874e14bbb66ecf4

Observation 69027242-bf4a-4cf0-957f-6ce95c103dc1 · outbound

This paper cites Airsod: A lightweight network for rgb-d salient object detection,.

Lightweight RGB-D Salient Object Detection from a Speed-Accuracy Tradeoff Perspective Airsod: A lightweight network for rgb-d salient object detection,

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T23:27:05.408460Z digest=sha256:8fb2d4c8436beb563eb617e031de49381fc0f85f45e8be921824db9f9eaf28bd

Observation 0cb039d1-bf94-4867-b631-502ccd026388 · outbound

This paper cites Mobilesal: Extremely efficient rgb-d salient object detection,.

Lightweight RGB-D Salient Object Detection from a Speed-Accuracy Tradeoff Perspective Mobilesal: Extremely efficient rgb-d salient object detection,

Reference 28

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raw_fallback, observed 2026-08-15T23:27:06.501366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T23:27:05.413475Z digest=sha256:aea98d441dbc163deb5c5ec032b23c3a11ef720f60ff9dd054b40d6aa2a9f5c7

Observation 656c2fe1-c98b-4a23-813b-38553e124e26 · outbound

This paper cites Moadnet: Mobile asymmetric dual-stream networks for real-time and lightweight rgb-d salient object detection,.

Lightweight RGB-D Salient Object Detection from a Speed-Accuracy Tradeoff Perspective Moadnet: Mobile asymmetric dual-stream networks for real-time and lightweight rgb-d salient object detection,

Reference 29

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:27:05.418157Z digest=sha256:39716ae8e0a5c154c707c891a75e894d3dfc88e0df3002e4a1e43f84847baf32

Observation 0990c9f4-6d74-4038-936a-9b4124523cb1 · outbound

This paper cites MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications.

Lightweight RGB-D Salient Object Detection from a Speed-Accuracy Tradeoff Perspective MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

Reference 30

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source=pdf_text observed=2026-08-15T23:27:05.422773Z digest=sha256:737c817a573d5b538e866c7eefd33c9529c692fbe859c1c68d459c981cc28679

Observation 34158307-f76d-4d65-8d62-6a7b660114ef · outbound

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

Lightweight RGB-D Salient Object Detection from a Speed-Accuracy Tradeoff Perspective Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs,

Reference 31

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:27:05.428151Z digest=sha256:9ce1d02232da1677672ab075fb1dc90cbba302d787ebb623ce7863669c53bf7a

Observation 17407ae8-e8fd-4107-b660-f37e73456f33 · outbound

This paper cites Denseaspp for semantic segmentation in street scenes,.

Lightweight RGB-D Salient Object Detection from a Speed-Accuracy Tradeoff Perspective Denseaspp for semantic segmentation in street scenes,

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T23:27:05.432801Z digest=sha256:9ac9385f76e9e66f3da25ab6e5a6b8796022645414997f295072a41a55e6cdd4

Observation 2d6cadbb-b07e-4cbc-88d0-b020d0552823 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale,.

Lightweight RGB-D Salient Object Detection from a Speed-Accuracy Tradeoff Perspective An image is worth 16x16 words: Transformers for image recognition at scale,

Reference 33

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raw_fallback, observed 2026-08-15T23:27:06.444929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T23:27:05.437768Z digest=sha256:5da658d7b062ed04f132d7ef7212a15e7169e80687b245855f64fd4dfe46378c

Observation 4a2cbfca-4720-443d-a9f3-08267e4d2d2a · outbound

This paper cites Lanet: Local attention embedding to improve the semantic segmentation of remote sensing images,.

Lightweight RGB-D Salient Object Detection from a Speed-Accuracy Tradeoff Perspective Lanet: Local attention embedding to improve the semantic segmentation of remote sensing images,

Reference 34

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:27:05.442416Z digest=sha256:b9a6cb43ccfeccb881e5a8c3f904a66bc00131673b647cab329d1fbd2d82baa8

Observation 3e9b06b2-7828-4486-899f-f9515ed72f69 · outbound

This paper cites Non-local neural net- works,.

Lightweight RGB-D Salient Object Detection from a Speed-Accuracy Tradeoff Perspective Non-local neural net- works,

Reference 35

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raw_fallback, observed 2026-08-15T23:27:06.418016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T23:27:05.447364Z digest=sha256:dec056dac532a388e9ab28376bbbd9feb80579bfe4b22c5a809a3d6116b30fd0

Observation 9e26143a-a474-44a1-887c-5cab3b60cd28 · outbound

This paper cites A convnet for the 2020s,.

Lightweight RGB-D Salient Object Detection from a Speed-Accuracy Tradeoff Perspective A convnet for the 2020s,

Reference 36

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unresolved
no resolver link, observed 2026-08-15T23:27:05.452421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:27:05.452421Z digest=sha256:b25065ca21c324fc35f798f154413e814d7f162de78812e091a4ac9280527b3c

Observation cffde45a-34ac-4d41-b314-777f786c2891 · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows,.

Lightweight RGB-D Salient Object Detection from a Speed-Accuracy Tradeoff Perspective Swin transformer: Hierarchical vision transformer using shifted windows,

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-15T23:27:05.457680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:27:05.457680Z digest=sha256:6452cff9287f0b83c9abf837e400432a8d71cb88408fa25a1c713094cd352bec

Observation c7022082-3817-4f66-b80d-01480d3c6c96 · outbound

This paper cites Acnet: Strengthening the kernel skeletons for powerful cnn via asymmetric convolution blocks,.

Lightweight RGB-D Salient Object Detection from a Speed-Accuracy Tradeoff Perspective Acnet: Strengthening the kernel skeletons for powerful cnn via asymmetric convolution blocks,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:27:06.379127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T23:27:05.462832Z digest=sha256:605183e6fe9bd2cdc2be1f3a17e2afd68419e41d6278870124502d7dab674bb4

Observation b49c017d-3ee6-4a13-be9e-84ff08fab7ef · outbound

This paper cites Dilated residual networks,.

Lightweight RGB-D Salient Object Detection from a Speed-Accuracy Tradeoff Perspective Dilated residual networks,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:27:06.362401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T23:27:05.468229Z digest=sha256:9327d0dd5d3f06769b425ee92e1367eaaf0ccb7d0a1fe4dfb4e2c839622d2759

Observation 232c2de2-e1eb-47fe-a3ca-575e6c508675 · outbound

This paper cites Rethinking rgb-d salient object detection: Models, data sets, and large-scale bench- marks,.

Lightweight RGB-D Salient Object Detection from a Speed-Accuracy Tradeoff Perspective Rethinking rgb-d salient object detection: Models, data sets, and large-scale bench- marks,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:27:06.346535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T23:27:05.473239Z digest=sha256:4871f02338d8a07b09b5fc7a75e5eb8fbf2afbf2101cc78c7fc27ab35dcd0ddf

Observation 979bd2fd-f6c1-431e-90c7-accbd12b8d85 · outbound

This paper cites Depth enhanced saliency detection method,.

Lightweight RGB-D Salient Object Detection from a Speed-Accuracy Tradeoff Perspective Depth enhanced saliency detection method,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:27:06.328811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T23:27:05.478536Z digest=sha256:66eca5fd30c713f3b948a5464aa5c93301e89e251f93b8ad27f7cb75ebe0fc99

Observation 9763f5c8-927c-44fd-8ecd-e71ccb5cd45b · outbound

This paper cites Leveraging stereopsis for saliency analysis,.

Lightweight RGB-D Salient Object Detection from a Speed-Accuracy Tradeoff Perspective Leveraging stereopsis for saliency analysis,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:27:06.312015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T23:27:05.483380Z digest=sha256:45e069358d4d5641d9169e5da343b2b66b08fec9733e72aa8bd85f79c3603a90

Observation fdd5fb24-0917-4837-94a4-980efaef617d · outbound

This paper cites Rgbd salient object detection: a benchmark and algorithms,.

Lightweight RGB-D Salient Object Detection from a Speed-Accuracy Tradeoff Perspective Rgbd salient object detection: a benchmark and algorithms,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:27:06.291129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T23:27:05.487925Z digest=sha256:5d0450dee9bcbbed775bca8137ce1ee76471cff91d2fbbd53d18188d629786a3

Observation c49e4f5e-bc12-426c-8491-9c5432c47c1e · outbound

This paper cites Enhanced-alignment measure for binary foreground map evaluation,.

Lightweight RGB-D Salient Object Detection from a Speed-Accuracy Tradeoff Perspective Enhanced-alignment measure for binary foreground map evaluation,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:27:06.271932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T23:27:05.492806Z digest=sha256:b45176ff2ef887286b3ce336cbf78ece378e5cf18c6fb2d1debfff0b5f608f56

Observation 4e83f174-9e7c-4f85-bca8-34e41a46da49 · outbound

This paper cites Structure- measure: A new way to evaluate foreground maps,.

Lightweight RGB-D Salient Object Detection from a Speed-Accuracy Tradeoff Perspective Structure- measure: A new way to evaluate foreground maps,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:27:06.253685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T23:27:05.497695Z digest=sha256:7ac6d609b9cd471c9466877b5021ed21775fddd8265b308961b832b21baa8a1c

Observation b1e91a84-0636-4cb2-a8a0-72e376a6ea27 · outbound

This paper cites Frequency-tuned salient region detection,.

Lightweight RGB-D Salient Object Detection from a Speed-Accuracy Tradeoff Perspective Frequency-tuned salient region detection,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:27:06.233054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T23:27:05.502451Z digest=sha256:aa803e3a96379ed48475201c75c449f49c7e7e5204ab7aa01ca5cc2c7892caad

Observation 457affdc-3b95-4e27-8ae7-4fecf0f764d0 · outbound

This paper cites How to evaluate foreground maps?.

Lightweight RGB-D Salient Object Detection from a Speed-Accuracy Tradeoff Perspective How to evaluate foreground maps?

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:27:06.214226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T23:27:05.507426Z digest=sha256:953577b3d9697640750b4b9ead91e22e66b87eb1b76f804871c794b34d5d2469

Observation 58512f50-f55f-40b4-befe-4f670b465930 · outbound

This paper cites Icnet: Information conversion network for rgb-d based salient object detection,.

Lightweight RGB-D Salient Object Detection from a Speed-Accuracy Tradeoff Perspective Icnet: Information conversion network for rgb-d based salient object detection,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:27:06.195030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T23:27:05.512255Z digest=sha256:817edfbfdb0e0b4c45fffe96c0333761a7559cbdcf3e13db65a0f7f53d647c5a

Observation 952cd95a-62cc-4c45-9057-e75d73253dc6 · outbound

This paper cites Deep rgb-d saliency detection with depth-sensitive attention and automatic multi-modal fu- sion,.

Lightweight RGB-D Salient Object Detection from a Speed-Accuracy Tradeoff Perspective Deep rgb-d saliency detection with depth-sensitive attention and automatic multi-modal fu- sion,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:27:06.177173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T23:27:05.517048Z digest=sha256:0814390dc08b82c78b89dba024b4e1e188c3f068b4be7439cfce35d5e9c15ecb

Observation 6e0f7bf3-29cb-48b0-b3d9-9a56d029951e · outbound

This paper cites Bilateral attention network for rgb-d salient object detection,.

Lightweight RGB-D Salient Object Detection from a Speed-Accuracy Tradeoff Perspective Bilateral attention network for rgb-d salient object detection,

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-15T23:27:05.521799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:27:05.521799Z digest=sha256:c6cb37ea577ff32079458804d41977d3a378c635c4b6879f2a71d87d1083b8b6

Observation b82f6776-e83c-4f86-8f9a-6b2256e9da3e · outbound

This paper cites Siamese network for rgb-d salient object detection and beyond,.

Lightweight RGB-D Salient Object Detection from a Speed-Accuracy Tradeoff Perspective Siamese network for rgb-d salient object detection and beyond,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:27:06.149007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T23:27:05.526588Z digest=sha256:b998415731da495c54ee89bb24ed1e539f2af933cf9d6eabaa33ddf20761742c

Observation dc390484-ad36-4ea3-8e74-c9e738bc9d37 · outbound

This paper cites Depth- induced gap-reducing network for rgb-d salient object detection: an interaction, guidance and refinement approach,.

Lightweight RGB-D Salient Object Detection from a Speed-Accuracy Tradeoff Perspective Depth- induced gap-reducing network for rgb-d salient object detection: an interaction, guidance and refinement approach,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:27:06.130789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T23:27:05.531825Z digest=sha256:45600ab01e24256d9fcea3b68086735f031545b0159cc7c9cdef6af94294cd87

Observation 3f59b344-1793-42e5-a585-9eb483cdb132 · outbound

This paper cites Multi-prior driven network for rgb-d salient object detection,.

Lightweight RGB-D Salient Object Detection from a Speed-Accuracy Tradeoff Perspective Multi-prior driven network for rgb-d salient object detection,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:27:06.113188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T23:27:05.536459Z digest=sha256:127ce7da35e8518781a3e8aaf0a5fe7b35a183f144ea5ddebc79b4c062ebc957

Observation c77e5906-bcfb-4db8-bf8a-3e7cc7fe5527 · outbound

This paper cites Cross-modal hierarchical interaction network for rgb-d salient object detection,.

Lightweight RGB-D Salient Object Detection from a Speed-Accuracy Tradeoff Perspective Cross-modal hierarchical interaction network for rgb-d salient object detection,

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-15T23:27:05.541025Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:27:05.541025Z digest=sha256:d191e2b2dc348657c07ed1ca12512a5012ed70bc46bf4b55f20ac798750c715d

Observation 74fcb1c7-ad54-4989-8167-779db273a756 · outbound

This paper cites Delving into cal- ibrated depth for accurate rgb-d salient object detection,.

Lightweight RGB-D Salient Object Detection from a Speed-Accuracy Tradeoff Perspective Delving into cal- ibrated depth for accurate rgb-d salient object detection,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:27:06.083110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T23:27:05.545794Z digest=sha256:afe023d0719fc0ee6d258e59f2cd63417109940fe3b91b3d9a0946369e2de795

Observation 6798c6c6-48df-4445-b423-ff5573a0ef5f · outbound

This paper cites Depth quality- inspired feature manipulation for efficient rgb-d salient object detection,.

Lightweight RGB-D Salient Object Detection from a Speed-Accuracy Tradeoff Perspective Depth quality- inspired feature manipulation for efficient rgb-d salient object detection,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:27:06.065828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T23:27:05.550742Z digest=sha256:86ba616f7a06c64a0b1a66e4ed1666e5d58f425736a51458a0acc2c644e56175

Observation abc7f55b-2283-4ed2-9b21-1f8bd77e83d0 · outbound

This paper cites Em- trans: Edge-aware multimodal transformer for rgb-d salient object de- tection,.

Lightweight RGB-D Salient Object Detection from a Speed-Accuracy Tradeoff Perspective Em- trans: Edge-aware multimodal transformer for rgb-d salient object de- tection,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:27:06.047135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T23:27:05.555568Z digest=sha256:c0c852767730de25385d530a0619bf468dd1e76e4ca79355a690c07e0fded1ba

Observation 71c4ab38-cfa7-4e46-b237-3b4255d3872c · outbound

This paper cites Catnet: A cascaded and aggregated transformer network for rgb-d salient object detection,.

Lightweight RGB-D Salient Object Detection from a Speed-Accuracy Tradeoff Perspective Catnet: A cascaded and aggregated transformer network for rgb-d salient object detection,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:27:06.031102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T23:27:05.560266Z digest=sha256:c340051f35969d08c6957f8898cec964ccbd8acc7d0b7410abad1a7bd77a3996

Observation 8180f81a-454f-4e62-820e-83330194c2d1 · outbound

This paper cites Tokens-to-token vit: Training vision transformers from scratch on imagenet,.

Lightweight RGB-D Salient Object Detection from a Speed-Accuracy Tradeoff Perspective Tokens-to-token vit: Training vision transformers from scratch on imagenet,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:27:06.013278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T23:27:05.565167Z digest=sha256:866838b5caacff1cec4ab2f0a520afaf2718699a89aaa0b116e04e8bcae32123

Observation 8282fcae-1fe8-4bc1-a3bf-fecc0f654ecd · outbound

This paper cites Saliency prototype for rgb-d and rgb- t salient object detection,.

Lightweight RGB-D Salient Object Detection from a Speed-Accuracy Tradeoff Perspective Saliency prototype for rgb-d and rgb- t salient object detection,

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:27:05.995176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T23:27:05.569951Z digest=sha256:0b2c222293ece0258fcd03c721f9d27a3584ca34c9749a775f963cbb5c1609bb

Observation f3dffd98-b410-4920-b5fd-50ce31ff1f98 · outbound

This paper cites Caver: Cross-modal view- mixed transformer for bi-modal salient object detection,.

Lightweight RGB-D Salient Object Detection from a Speed-Accuracy Tradeoff Perspective Caver: Cross-modal view- mixed transformer for bi-modal salient object detection,

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:27:05.979257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T23:27:05.574964Z digest=sha256:ca64e0e51f96d26718f1647aab2fbd5104728e8623cd4c8c16c7bd6f607fb9f4

Observation 33e26ccd-a464-4232-9445-c91bedaf0873 · outbound

This paper cites Glconet: Learning mul- tisource perception representation for camouflaged object detection,.

Lightweight RGB-D Salient Object Detection from a Speed-Accuracy Tradeoff Perspective Glconet: Learning mul- tisource perception representation for camouflaged object detection,

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:27:05.961973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T23:27:05.579783Z digest=sha256:dc7f767bf6655513d4897ec808d2d1c64ea80ebb0cf7ebe3e18d0cbadafdda6b

Observation ae9ef571-988f-468e-89f1-e7b0f494a7fc · outbound

This paper cites Boundary uncertainty aware network for automated polyp segmenta- tion,.

Lightweight RGB-D Salient Object Detection from a Speed-Accuracy Tradeoff Perspective Boundary uncertainty aware network for automated polyp segmenta- tion,

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:27:05.945987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T23:27:05.584712Z digest=sha256:3dadc51677cc5a987a3db43a56c6d137b9b4d36e9e14751ada6805407af699e0

Observation a7dc8324-fcfe-422d-9a0e-487e9a4778ea · outbound

This paper cites Pranet: Parallel reverse attention network for polyp segmentation,.

Lightweight RGB-D Salient Object Detection from a Speed-Accuracy Tradeoff Perspective Pranet: Parallel reverse attention network for polyp segmentation,

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:27:05.929356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T23:27:05.589745Z digest=sha256:919fde3a53d97bdf8a3055680133285682a075ec7dd01820f01830d052a02f31

Observation 9a9818a7-f6d0-4778-b97c-853cc9ed326f · outbound

This paper cites Polyp segmentation via semantic en- hanced perceptual network,.

Lightweight RGB-D Salient Object Detection from a Speed-Accuracy Tradeoff Perspective Polyp segmentation via semantic en- hanced perceptual network,

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:27:05.911821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T23:27:05.594680Z digest=sha256:5f5fbb7ebaed3852238cd2b06095c3107e94b92e7cd887c20d21de9852c540be

Observation 19c1967e-0b19-49a3-943c-f45437182a77 · outbound

This paper cites Ctnet: Contrastive transformer network for polyp segmentation,.

Lightweight RGB-D Salient Object Detection from a Speed-Accuracy Tradeoff Perspective Ctnet: Contrastive transformer network for polyp segmentation,

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:27:05.893056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T23:27:05.599637Z digest=sha256:ab7117bb5683742792e8e9615779d206d129f48f68fd20c29e563bab9a33a03f

Observation 172d440e-7a1c-4082-a299-33da14cfd061 · outbound

This paper cites Swinnet: Swin transformer drives edge-aware rgb-d and rgb-t salient object detection,.

Lightweight RGB-D Salient Object Detection from a Speed-Accuracy Tradeoff Perspective Swinnet: Swin transformer drives edge-aware rgb-d and rgb-t salient object detection,

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:27:06.775373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T23:27:05.604393Z digest=sha256:890955cbb506b086db800dd80d69d85004c7cc1e41d3cbf26c09acde350080f1

Observation aefbe0f6-f1dc-4044-8c6a-98d5398f8775 · outbound

This paper cites Ecffnet: Effective and consistent feature fusion network for rgb-t salient object detection,.

Lightweight RGB-D Salient Object Detection from a Speed-Accuracy Tradeoff Perspective Ecffnet: Effective and consistent feature fusion network for rgb-t salient object detection,

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:27:05.877020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T23:27:05.610998Z digest=sha256:1a6c33dfd4a4d4ea3cb0705f5674d1ffa3b70c18738bc6b7be684ece775a3542

Observation 84d22389-3785-46a9-b1e7-57825f6ba9e5 · outbound

This paper cites Cgfnet: Cross-guided fusion network for rgb-t salient object detection,.

Lightweight RGB-D Salient Object Detection from a Speed-Accuracy Tradeoff Perspective Cgfnet: Cross-guided fusion network for rgb-t salient object detection,

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:27:05.860239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T23:27:05.615948Z digest=sha256:c89a8ababb1f6ea1dacc1c2c2887f814969d4582fbe123db2e9f62431b2ad5c0

Observation 9a55a49f-aaf6-4c68-a514-63d06e35c14c · outbound

This paper cites Tritransnet: Rgb-d salient object detection with a triplet transformer embedding network,.

Lightweight RGB-D Salient Object Detection from a Speed-Accuracy Tradeoff Perspective Tritransnet: Rgb-d salient object detection with a triplet transformer embedding network,

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:27:05.844019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T23:27:05.621735Z digest=sha256:c130b910153305abacc664b4a7435c1b57e529e43a202650b5ad916a48e70143

Observation b6e4c011-ef9e-4747-9814-b670786350a8 · outbound

This paper cites Object segmentation by mining cross-modal semantics,.

Lightweight RGB-D Salient Object Detection from a Speed-Accuracy Tradeoff Perspective Object segmentation by mining cross-modal semantics,

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:27:05.825898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T23:27:05.626609Z digest=sha256:7a4af256f1876e7307f7fd3b4f1510ebf3a00c8bcf009868dcf1ff542e13e454

Pith citing papers

No inbound Pith citation observations are available.