Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T13:59:40.900247Z
Paper Citation Record · LEDGER
Semi-Supervised Video Salient Object Detection Using Pseudo-Labels
As of 16 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:1908.04051.
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 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
20 of 20 outbound references displayed
- verified exact0
- verified fuzzy20
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 8f0d0b23-47de-4cd5-9615-1cc2cab9da1c · outbound
This paper cites Object segmentation by long term analysis of point trajectories.
Semi-Supervised Video Salient Object Detection Using Pseudo-Labels Object segmentation by long term analysis of point trajectories
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:59:41.170406Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4ded471e-b6cc-4291-921c-7d3707f5c6bb · outbound
This paper cites Deeply supervised salient object detection with short connections.
Semi-Supervised Video Salient Object Detection Using Pseudo-Labels Deeply supervised salient object detection with short connections
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:59:41.157789Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation bb0a3649-de2f-47ae-a118-1abde6336234 · outbound
This paper cites Saliency detection via absorbing markov chain.
Semi-Supervised Video Salient Object Detection Using Pseudo-Labels Saliency detection via absorbing markov chain
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:59:41.143057Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 63abcd01-a4b2-435d-9f67-d8db06a21742 · outbound
This paper cites Instance- level salient object segmentation.
Semi-Supervised Video Salient Object Detection Using Pseudo-Labels Instance- level salient object segmentation
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:59:41.130922Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 3fc9bb06-ce6e-4ae5-86fe-31673e4bad2f · outbound
This paper cites Flow guided recurrent neural encoder for video salient object detection.
Semi-Supervised Video Salient Object Detection Using Pseudo-Labels Flow guided recurrent neural encoder for video salient object detection
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:59:41.118874Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 6cd441cb-9024-442c-bf0a-f04a85258012 · outbound
This paper cites Deep contrast learning for salient object detection.
Semi-Supervised Video Salient Object Detection Using Pseudo-Labels Deep contrast learning for salient object detection
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:59:41.106628Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation f1e8b7d2-66af-4849-9469-07e093a69fd9 · outbound
This paper cites A benchmark dataset and saliency-guided stacked autoencoders for video- based salient object detection.
Semi-Supervised Video Salient Object Detection Using Pseudo-Labels A benchmark dataset and saliency-guided stacked autoencoders for video- based salient object detection
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:59:41.095139Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 3e307cc3-34fe-4c37-ad92-e564e8e7eeed · outbound
This paper cites Dhsnet: Deep hierarchical saliency network for salient object detection.
Semi-Supervised Video Salient Object Detection Using Pseudo-Labels Dhsnet: Deep hierarchical saliency network for salient object detection
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:59:41.084696Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 77426e18-4f0b-4dce-960b-2ab36bbfbbbe · outbound
This paper cites Picanet: Learning pixel-wise contextual attention for saliency detec- tion.
Semi-Supervised Video Salient Object Detection Using Pseudo-Labels Picanet: Learning pixel-wise contextual attention for saliency detec- tion
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:59:41.073106Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 765dd855-e1d1-425f-b154-eb173c85c11b · outbound
This paper cites How to evaluate foreground maps? In Proceedings of IEEE Con- ference on Computer Vision and Pattern Recognition , pages 248–255, 2014.
Semi-Supervised Video Salient Object Detection Using Pseudo-Labels How to evaluate foreground maps? In Proceedings of IEEE Con- ference on Computer Vision and Pattern Recognition , pages 248–255, 2014
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:59:41.061201Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 18cf2aab-6798-4557-9c62-b3d1f758ecc5 · outbound
This paper cites Saliency filters: Contrast based filtering for salient region detection.
Semi-Supervised Video Salient Object Detection Using Pseudo-Labels Saliency filters: Contrast based filtering for salient region detection
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:59:41.049683Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 49ef746c-2b23-41d8-985b-bf3ff96b5045 · outbound
This paper cites A benchmark dataset and evaluation methodology for video object segmentation.
Semi-Supervised Video Salient Object Detection Using Pseudo-Labels A benchmark dataset and evaluation methodology for video object segmentation
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:59:41.037160Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e6e10183-6d1a-4d17-a4ec-0c85391e5b93 · outbound
This paper cites Pyramid dilated deeper convlstm for video salient object detection.
Semi-Supervised Video Salient Object Detection Using Pseudo-Labels Pyramid dilated deeper convlstm for video salient object detection
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:59:41.024081Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e59e308e-dd8a-4a9e-bf31-dbdc5526095f · outbound
This paper cites Saliency detection with recurrent fully con- volutional networks.
Semi-Supervised Video Salient Object Detection Using Pseudo-Labels Saliency detection with recurrent fully con- volutional networks
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:59:41.011372Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 9be11ae3-0c22-402b-b189-5420f19483a0 · outbound
This paper cites Detect globally, refine locally: A novel approach to saliency detection.
Semi-Supervised Video Salient Object Detection Using Pseudo-Labels Detect globally, refine locally: A novel approach to saliency detection
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:59:40.998690Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4b108f5b-885f-4f5e-987d-cd9f372fcb12 · outbound
This paper cites Saliency- aware geodesic video object segmentation.
Semi-Supervised Video Salient Object Detection Using Pseudo-Labels Saliency- aware geodesic video object segmentation
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:59:40.985709Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c1eccbd7-9a80-4192-af6e-fed109f82a22 · outbound
This paper cites Consistent video saliency using local gradient flow optimization and global refinement.
Semi-Supervised Video Salient Object Detection Using Pseudo-Labels Consistent video saliency using local gradient flow optimization and global refinement
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:59:40.973567Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 42278f28-52c8-40de-a1e5-cf0ee04ec05c · outbound
This paper cites Video salient object detection via fully convolutional networks.
Semi-Supervised Video Salient Object Detection Using Pseudo-Labels Video salient object detection via fully convolutional networks
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:59:40.959754Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation f058bfb7-b6aa-4785-a20c-1e465b88928b · outbound
This paper cites Minimum barrier salient object detection at 80 fps.
Semi-Supervised Video Salient Object Detection Using Pseudo-Labels Minimum barrier salient object detection at 80 fps
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:59:40.946791Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e5ce99ec-2ee5-4923-8cba-9cbb958a8768 · outbound
This paper cites Saliency optimization from robust background detection.
Semi-Supervised Video Salient Object Detection Using Pseudo-Labels Saliency optimization from robust background detection
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:59:40.934126Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Pith citing papers
No inbound Pith citation observations are available.