Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-06-30T12:02:55.855972Z
Paper Citation Record · LEDGER
BED-SAM2: Boundary-Enhanced-Depth SAM2 via Monocular Geometric Priors
As of 14 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.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-12T16:04:30.980728Z
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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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.