Paper Citation Record · LEDGER

BED-SAM2: Boundary-Enhanced-Depth SAM2 via Monocular Geometric Priors

As of 9 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 1 inbound Pith citation observation for arXiv:2605.24893.

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

pith.paper-citation-record.v1
2605.24893 v1

Coverage vector

measured 54 of 54 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-30T12:02:55.855972Z

measured 55 of 55 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-12T16:04:30.980728Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

54 of 54 outbound references displayed

verified exact4
verified fuzzy49
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 86736705-553f-4960-ad43-6264cba9bf80 · outbound

This paper cites SAM2-Adapter: Evaluating & Adapting Segment Anything 2 in Downstream Tasks: Camouflage, Shadow, Medical Image Segmentation, and More.

BED-SAM2: Boundary-Enhanced-Depth SAM2 via Monocular Geometric Priors SAM2-Adapter: Evaluating & Adapting Segment Anything 2 in Downstream Tasks: Camouflage, Shadow, Medical Image Segmentation, and More

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-06-30T12:04:38.691748Z

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 30cfc675-c451-45c4-ab95-67a29b13df3d · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

BED-SAM2: Boundary-Enhanced-Depth SAM2 via Monocular Geometric Priors Imagenet: A large-scale hierarchical image database

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T07:26:04.523280Z

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 de6cfc10-c2d9-4215-a317-1709b01c576a · outbound

This paper cites Iako- vidis.

BED-SAM2: Boundary-Enhanced-Depth SAM2 via Monocular Geometric Priors Iako- vidis

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T07:26:04.509207Z

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 4873b0fa-82e2-4fe5-883a-6c10424c3218 · outbound

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

BED-SAM2: Boundary-Enhanced-Depth SAM2 via Monocular Geometric Priors An image is worth 16x16 words: Transformers for image recognition at scale

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T07:26:04.511468Z

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 47e2c519-7c8e-41ed-a269-4417e04f08ff · outbound

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

BED-SAM2: Boundary-Enhanced-Depth SAM2 via Monocular Geometric Priors Structure-measure: A new way to evaluate foreground maps

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T07:26:04.520937Z

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 6803d2ce-8d16-49d9-aef0-754b022c5b4e · outbound

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

BED-SAM2: Boundary-Enhanced-Depth SAM2 via Monocular Geometric Priors Enhanced-alignment measure for binary foreground map evaluation

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T07:26:04.518826Z

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 bede2db9-acc7-4856-be37-b7d8b4a57e62 · outbound

This paper cites Camouflaged object detec- tion.

BED-SAM2: Boundary-Enhanced-Depth SAM2 via Monocular Geometric Priors Camouflaged object detec- tion

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T07:26:04.514325Z

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 3e8c7aff-c919-43aa-a8d9-21762432febe · outbound

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

BED-SAM2: Boundary-Enhanced-Depth SAM2 via Monocular Geometric Priors Pranet: Parallel reverse attention network for polyp segmentation

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T07:26:04.516712Z

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 1334fb35-a398-4792-b8ea-4f6e2bd6e919 · outbound

This paper cites Rethinking rgb-d salient object detec- tion: Models, data sets, and large-scale benchmarks.IEEE Trans.

BED-SAM2: Boundary-Enhanced-Depth SAM2 via Monocular Geometric Priors Rethinking rgb-d salient object detec- tion: Models, data sets, and large-scale benchmarks.IEEE Trans

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T07:26:04.435311Z

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 710082fc-1de2-408e-9f20-52e644c7b663 · outbound

This paper cites Concealed object detection.IEEE TPAMI, 44(10): 6024–6042, 2022.

BED-SAM2: Boundary-Enhanced-Depth SAM2 via Monocular Geometric Priors Concealed object detection.IEEE TPAMI, 44(10): 6024–6042, 2022

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T07:26:04.389086Z

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 74253f62-0943-4af2-b658-aa6818e1f8e7 · outbound

This paper cites Deep residual learning for image recognition.

BED-SAM2: Boundary-Enhanced-Depth SAM2 via Monocular Geometric Priors Deep residual learning for image recognition

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T07:26:04.487003Z

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 8bbbbea2-5e5a-4da2-9242-e32c293fec8c · outbound

This paper cites Distill Any Depth: Distillation Creates a Stronger Monocular Depth Estimator.

BED-SAM2: Boundary-Enhanced-Depth SAM2 via Monocular Geometric Priors Distill Any Depth: Distillation Creates a Stronger Monocular Depth Estimator

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-06-30T12:04:38.688450Z

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 05cb96b2-d1b5-459b-b3e0-fbf24c33f033 · outbound

This paper cites Stereo processing by semiglobal match- ing and mutual information.IEEE TPAMI, 30(2):328–341,.

BED-SAM2: Boundary-Enhanced-Depth SAM2 via Monocular Geometric Priors Stereo processing by semiglobal match- ing and mutual information.IEEE TPAMI, 30(2):328–341,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T07:26:04.429592Z

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 8e01b73e-ab7e-47e9-8505-6de15c2645a3 · outbound

This paper cites Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen- Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen.

BED-SAM2: Boundary-Enhanced-Depth SAM2 via Monocular Geometric Priors Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen- Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T07:26:04.386733Z

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 ab9c7e1e-6a4d-4dfa-9351-198df506424c · outbound

This paper cites Depth saliency based on anisotropic center- surround difference.

BED-SAM2: Boundary-Enhanced-Depth SAM2 via Monocular Geometric Priors Depth saliency based on anisotropic center- surround difference

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T07:26:04.477054Z

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 3a01f48d-f576-4a4d-ad4f-277d6e72e8e3 · outbound

This paper cites an unresolved cited work.

BED-SAM2: Boundary-Enhanced-Depth SAM2 via Monocular Geometric Priors Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-07-09T07:26:04.474125Z

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 d768bddf-9cce-4bf4-92f2-09ca6bc4c2d7 · outbound

This paper cites Berg, Wan-Yen Lo, Piotr Doll ´ar, and Ross Girshick.

BED-SAM2: Boundary-Enhanced-Depth SAM2 via Monocular Geometric Priors Berg, Wan-Yen Lo, Piotr Doll ´ar, and Ross Girshick

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T07:26:04.417599Z

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 7b02eb8c-6c37-4e13-ba14-15aefd062d7b · outbound

This paper cites Nguyen, Zhongliang Nie, Minh- Triet Tran, and Akihiro Sugimoto.

BED-SAM2: Boundary-Enhanced-Depth SAM2 via Monocular Geometric Priors Nguyen, Zhongliang Nie, Minh- Triet Tran, and Akihiro Sugimoto

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T07:26:04.384274Z

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 cee62d05-5d55-416e-bf77-e67983ce33d8 · outbound

This paper cites Visual saliency based on multi- scale deep features.

BED-SAM2: Boundary-Enhanced-Depth SAM2 via Monocular Geometric Priors Visual saliency based on multi- scale deep features

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T07:26:04.409109Z

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 c143c805-02d4-490b-9d8f-15513bfdfc0b · outbound

This paper cites Rehg, and Alan L.

BED-SAM2: Boundary-Enhanced-Depth SAM2 via Monocular Geometric Priors Rehg, and Alan L

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T07:26:04.458205Z

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 f316411a-d00f-4e20-9da7-8312cc8c0295 · outbound

This paper cites Lawrence Zitnick.

BED-SAM2: Boundary-Enhanced-Depth SAM2 via Monocular Geometric Priors Lawrence Zitnick

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T07:26:04.441935Z

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 1bc015f7-c495-43e2-af1d-46235f84c792 · outbound

This paper cites Receptive field block net for accurate and fast object detection.

BED-SAM2: Boundary-Enhanced-Depth SAM2 via Monocular Geometric Priors Receptive field block net for accurate and fast object detection

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T07:26:04.465620Z

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 5a060b22-7b82-40be-920f-77e503766945 · outbound

This paper cites Decoupled weight de- cay regularization.

BED-SAM2: Boundary-Enhanced-Depth SAM2 via Monocular Geometric Priors Decoupled weight de- cay regularization

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T07:26:04.444579Z

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 560f393e-4261-41f4-8d0f-f6362b5cffef · outbound

This paper cites VSCode: General visual salient and camouflaged object de- tection with 2D prompt learning.

BED-SAM2: Boundary-Enhanced-Depth SAM2 via Monocular Geometric Priors VSCode: General visual salient and camouflaged object de- tection with 2D prompt learning

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T07:26:04.403304Z

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 d5f9fdab-7122-45b0-b651-7e1378c9a2f5 · outbound

This paper cites Simultaneously lo- calize, segment and rank the camouflaged objects.

BED-SAM2: Boundary-Enhanced-Depth SAM2 via Monocular Geometric Priors Simultaneously lo- calize, segment and rank the camouflaged objects

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T07:26:04.482719Z

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 b50b2cc1-89bc-4c32-a0de-43995aa2edda · outbound

This paper cites How to evaluate foreground maps.

BED-SAM2: Boundary-Enhanced-Depth SAM2 via Monocular Geometric Priors How to evaluate foreground maps

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T07:26:04.484866Z

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 f0a8d496-2bde-4483-ab18-8afad3dff1a2 · outbound

This paper cites Leveraging stereopsis for saliency analysis.

BED-SAM2: Boundary-Enhanced-Depth SAM2 via Monocular Geometric Priors Leveraging stereopsis for saliency analysis

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T07:26:04.525559Z

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 d3ac45ad-5c34-41b6-9e8b-ce4a38c41bcc · outbound

This paper cites ZoomNeXt: A unified collaborative pyramid network for camouflaged object detection.IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 46(12):9205–9220, 2024.

BED-SAM2: Boundary-Enhanced-Depth SAM2 via Monocular Geometric Priors ZoomNeXt: A unified collaborative pyramid network for camouflaged object detection.IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 46(12):9205–9220, 2024

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T07:26:04.489563Z

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 90e3eba0-4635-431f-8ccf-457225204400 · outbound

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

BED-SAM2: Boundary-Enhanced-Depth SAM2 via Monocular Geometric Priors Rgbd salient object detection: A benchmark and algorithms

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T07:26:04.471102Z

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 808fb371-812a-4bf4-ac41-2765aa3fd457 · outbound

This paper cites Zaiane, and Martin Jagersand.

BED-SAM2: Boundary-Enhanced-Depth SAM2 via Monocular Geometric Priors Zaiane, and Martin Jagersand

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T07:26:04.504016Z

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 900d7144-b755-4e3a-ac7c-75ba92ce9bf0 · outbound

This paper cites Learning transferable visual models from natural language supervision.

BED-SAM2: Boundary-Enhanced-Depth SAM2 via Monocular Geometric Priors Learning transferable visual models from natural language supervision

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T07:26:04.462047Z

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 ab080fac-8c3b-4ed8-b668-6f826ad2f35b · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

BED-SAM2: Boundary-Enhanced-Depth SAM2 via Monocular Geometric Priors SAM 2: Segment Anything in Images and Videos

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-06-30T12:04:38.685553Z

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 93d237a2-f221-4bcb-b900-e4a7facffb3b · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation.

BED-SAM2: Boundary-Enhanced-Depth SAM2 via Monocular Geometric Priors U-net: Convolutional networks for biomedical image segmentation

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T07:26:04.506928Z

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 82f2c268-5592-4d6a-a79b-d27fb01ab18c · outbound

This paper cites Hiera: A hier- archical vision transformer without the bells-and-whistles.

BED-SAM2: Boundary-Enhanced-Depth SAM2 via Monocular Geometric Priors Hiera: A hier- archical vision transformer without the bells-and-whistles

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T07:26:04.449776Z

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 20adc522-9076-4c41-9431-a2fc5dc9a19d · outbound

This paper cites A taxonomy and evaluation of dense two-frame stereo correspondence algo- rithms.IJCV, 47:7–42, 2002.

BED-SAM2: Boundary-Enhanced-Depth SAM2 via Monocular Geometric Priors A taxonomy and evaluation of dense two-frame stereo correspondence algo- rithms.IJCV, 47:7–42, 2002

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T07:26:04.438350Z

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 39055a7a-3dd2-4d4f-9f13-0dfa6f295aa7 · outbound

This paper cites Very deep convo- lutional networks for large-scale image recognition.

BED-SAM2: Boundary-Enhanced-Depth SAM2 via Monocular Geometric Priors Very deep convo- lutional networks for large-scale image recognition

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T07:26:04.447111Z

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 2e43c440-3a57-4713-a631-46313b6ca964 · outbound

This paper cites Błaszczyk, Tomasz Depta, Adam Kornacki, and Paweł Kozieł.

BED-SAM2: Boundary-Enhanced-Depth SAM2 via Monocular Geometric Priors Błaszczyk, Tomasz Depta, Adam Kornacki, and Paweł Kozieł

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T07:26:04.452484Z

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 eda92ab2-abd9-45bf-8dff-74625fb5f804 · outbound

This paper cites Learning to de- tect salient objects with image-level supervision.

BED-SAM2: Boundary-Enhanced-Depth SAM2 via Monocular Geometric Priors Learning to de- tect salient objects with image-level supervision

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T07:26:04.420536Z

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 40b23aa5-86bf-4a54-b98d-3aa137c2ddfb · outbound

This paper cites Depth-aided camouflaged object detection.

BED-SAM2: Boundary-Enhanced-Depth SAM2 via Monocular Geometric Priors Depth-aided camouflaged object detection

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T07:26:04.479784Z

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 b8b450cf-e0c4-40e3-b9b9-6d1e4f8704e8 · outbound

This paper cites Pixels, regions, and objects: Multiple enhancement for salient object detection.

BED-SAM2: Boundary-Enhanced-Depth SAM2 via Monocular Geometric Priors Pixels, regions, and objects: Multiple enhancement for salient object detection

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T07:26:04.426286Z

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 95d0d768-27be-4914-bead-3145ed2f8e20 · outbound

This paper cites F 3Net: Fu- sion, feedback and focus for salient object detection.

BED-SAM2: Boundary-Enhanced-Depth SAM2 via Monocular Geometric Priors F 3Net: Fu- sion, feedback and focus for salient object detection

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T07:26:04.394201Z

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 c958790c-f7e2-4b47-91a1-8797e0cdb915 · outbound

This paper cites Edn: Salient object detection via extremely- downsampled network.IEEE TIP, 31:3542–3555, 2022.

BED-SAM2: Boundary-Enhanced-Depth SAM2 via Monocular Geometric Priors Edn: Salient object detection via extremely- downsampled network.IEEE TIP, 31:3542–3555, 2022

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T07:26:04.455275Z

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 23988487-ffa3-4bf9-90cf-912265a74473 · outbound

This paper cites HiDAnet: RGB-D salient ob- ject detection via hierarchical depth awareness.IEEE Trans- actions on Image Processing (TIP), 32:2160–2173, 2023.

BED-SAM2: Boundary-Enhanced-Depth SAM2 via Monocular Geometric Priors HiDAnet: RGB-D salient ob- ject detection via hierarchical depth awareness.IEEE Trans- actions on Image Processing (TIP), 32:2160–2173, 2023

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T07:26:04.406160Z

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 8f1dccb4-084a-46a7-afe1-1e48015c745a · outbound

This paper cites Exploring Depth Contribution for Camouflaged Object Detection.

BED-SAM2: Boundary-Enhanced-Depth SAM2 via Monocular Geometric Priors Exploring Depth Contribution for Camouflaged Object Detection

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-06-30T12:04:38.683035Z

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 be50158c-0fe8-42ff-87d2-36ec7d3f1613 · outbound

This paper cites Pyramid grafting network for one- stage high resolution saliency detection.

BED-SAM2: Boundary-Enhanced-Depth SAM2 via Monocular Geometric Priors Pyramid grafting network for one- stage high resolution saliency detection

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T07:26:04.414976Z

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 0c433a1b-d19d-45dc-b1d6-8827e74072d6 · outbound

This paper cites Sam2-unet: Segment anything 2 makes strong encoder for natural and medical image segmentation.Visual Intelligence, 4(1):2, 2026.

BED-SAM2: Boundary-Enhanced-Depth SAM2 via Monocular Geometric Priors Sam2-unet: Segment anything 2 makes strong encoder for natural and medical image segmentation.Visual Intelligence, 4(1):2, 2026

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T07:26:04.400391Z

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 e45b65ce-8cf0-4abf-ad5b-9287aa07e4b2 · outbound

This paper cites Hierarchical saliency detection.

BED-SAM2: Boundary-Enhanced-Depth SAM2 via Monocular Geometric Priors Hierarchical saliency detection

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T07:26:04.498657Z

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 997bb95e-5347-46b6-8c73-65d7a6e673aa · outbound

This paper cites Saliency detection via graph-based man- ifold ranking.

BED-SAM2: Boundary-Enhanced-Depth SAM2 via Monocular Geometric Priors Saliency detection via graph-based man- ifold ranking

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T07:26:04.397508Z

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 42d69d54-cf5e-4ed2-bfa6-73e126f2a362 · outbound

This paper cites Dformerv2: Geometry self- attention for rgbd semantic segmentation.

BED-SAM2: Boundary-Enhanced-Depth SAM2 via Monocular Geometric Priors Dformerv2: Geometry self- attention for rgbd semantic segmentation

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T07:26:04.411991Z

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 c71e19f4-b6ee-446a-b65e-b0a2757e309d · outbound

This paper cites Towards high-resolution salient object detec- tion.

BED-SAM2: Boundary-Enhanced-Depth SAM2 via Monocular Geometric Priors Towards high-resolution salient object detec- tion

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T07:26:04.432639Z

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 5d075073-2739-4694-bb9f-41d9317c79e8 · outbound

This paper cites Rgb-d saliency de- tection via cascaded mutual information minimization.

BED-SAM2: Boundary-Enhanced-Depth SAM2 via Monocular Geometric Priors Rgb-d saliency de- tection via cascaded mutual information minimization

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T07:26:04.468214Z

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 c8bf6398-6694-4ede-ad72-fb59aabb3fb6 · outbound

This paper cites Fastersal: Robust and real-time single-stream ar- chitecture for rgb-d salient object detection.IEEE TMM, 27: 1507–1519, 2025.

BED-SAM2: Boundary-Enhanced-Depth SAM2 via Monocular Geometric Priors Fastersal: Robust and real-time single-stream ar- chitecture for rgb-d salient object detection.IEEE TMM, 27: 1507–1519, 2025

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T07:26:04.495796Z

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 3894a201-d573-44bc-ae21-4d7bcf85ccce · outbound

This paper cites Bilateral refer- ence for high-resolution dichotomous image segmentation.

BED-SAM2: Boundary-Enhanced-Depth SAM2 via Monocular Geometric Priors Bilateral refer- ence for high-resolution dichotomous image segmentation

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T07:26:04.423635Z

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 31b0dee1-3156-4fdc-9d6d-99fc1bc1d4a8 · outbound

This paper cites Salient object detection via integrity learning.IEEE Transactions on Pattern Anal- ysis and Machine Intelligence (TPAMI), 45(3):3738–3752,.

BED-SAM2: Boundary-Enhanced-Depth SAM2 via Monocular Geometric Priors Salient object detection via integrity learning.IEEE Transactions on Pattern Anal- ysis and Machine Intelligence (TPAMI), 45(3):3738–3752,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T07:26:04.501648Z

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.

Pith citing papers

Observation 172dc785-fb82-4196-87a7-62371fb2e435 · inbound

X-Foresight: A Joint Vision-Action Causal Forecasting Network via Predictive World Modeling cites this paper.

X-Foresight: A Joint Vision-Action Causal Forecasting Network via Predictive World Modeling BED-SAM2: Boundary-Enhanced-Depth SAM2 via Monocular Geometric Priors

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-12T16:04:30.980728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.