Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-10T03:04:57.109924Z
Paper Citation Record · LEDGER
SAM-MT: Real-Time Interactive Multi-Target Video Segmentation
As of 20 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 0 inbound Pith citation observations for arXiv:2607.08688.
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 2026-08-20T06:33:59.587034+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
60 of 60 outbound references displayed
- verified exact4
- verified fuzzy55
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch1
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 828e8133-13c3-4c05-9f41-374665f742f2 · outbound
This paper cites MOSE: A new dataset for video object segmentation in complex scenes.
SAM-MT: Real-Time Interactive Multi-Target Video Segmentation MOSE: A new dataset for video object segmentation in complex scenes
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T03:06:43.962222Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 50b89bc8-651a-4e15-9721-e9947a33758d · outbound
This paper cites MOSEv2: A more challenging dataset for video object segmentation in complex scenes.
SAM-MT: Real-Time Interactive Multi-Target Video Segmentation MOSEv2: A more challenging dataset for video object segmentation in complex scenes
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-07-10T03:06:43.590309Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 9f1a42d9-39c3-4071-8276-5937315ea7cd · outbound
This paper cites Genie: A generalizable navigation system for in-the-wild environments.IEEE Robotics and Automation Letters, 2025.
SAM-MT: Real-Time Interactive Multi-Target Video Segmentation Genie: A generalizable navigation system for in-the-wild environments.IEEE Robotics and Automation Letters, 2025
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T03:06:43.881974Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 53afb98e-4a04-4271-8290-a538370892b3 · outbound
This paper cites Video object segmentation-based visual servo control and object depth estimation on a mobile robot.
SAM-MT: Real-Time Interactive Multi-Target Video Segmentation Video object segmentation-based visual servo control and object depth estimation on a mobile robot
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T03:06:43.865260Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 3f9daccc-03a4-45c7-b1ff-df87d9306c23 · outbound
This paper cites Video object segmentation using space-time memory networks.
SAM-MT: Real-Time Interactive Multi-Target Video Segmentation Video object segmentation using space-time memory networks
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T03:06:43.858864Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation c3a1d15b-29ff-4cd1-b967-0031e7aa4989 · outbound
This paper cites Rethinking space-time networks with improved memory coverage for efficient video object segmentation.
SAM-MT: Real-Time Interactive Multi-Target Video Segmentation Rethinking space-time networks with improved memory coverage for efficient video object segmentation
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T03:06:43.941432Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 35db4574-bd18-4991-8187-1479b52b351e · outbound
This paper cites Xmem: Long-term video object segmentation with an atkinson-shiffrin memory model.
SAM-MT: Real-Time Interactive Multi-Target Video Segmentation Xmem: Long-term video object segmentation with an atkinson-shiffrin memory model
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T03:06:43.933424Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation f6689e78-df52-4fa8-9ba6-5a156a931f38 · outbound
This paper cites Putting the object back into video object segmentation.
SAM-MT: Real-Time Interactive Multi-Target Video Segmentation Putting the object back into video object segmentation
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T03:06:43.937573Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation a737784b-b10e-4c63-b788-e7ee57da023c · outbound
This paper cites Sam 2: Segment anything in images and videos.
SAM-MT: Real-Time Interactive Multi-Target Video Segmentation Sam 2: Segment anything in images and videos
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T03:06:43.873184Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 7fc1cf10-d5ca-4221-b3b8-44f58f2c6361 · outbound
This paper cites Sam2long: Enhancing sam 2 for long video segmentation with a training-free memory tree.
SAM-MT: Real-Time Interactive Multi-Target Video Segmentation Sam2long: Enhancing sam 2 for long video segmentation with a training-free memory tree
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T03:06:43.892369Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation ab96b837-5e1b-4046-b5a1-46212837888a · outbound
This paper cites MeViS: A large-scale benchmark for video segmentation with motion expressions.
SAM-MT: Real-Time Interactive Multi-Target Video Segmentation MeViS: A large-scale benchmark for video segmentation with motion expressions
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T03:06:43.938679Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation a5e4d703-6beb-4763-b65f-13b6920a71cd · outbound
This paper cites MeViS: A multi-modal dataset for referring motion expression video segmentation.IEEE TPAMI, 47(12):11400–11416, 2025.
SAM-MT: Real-Time Interactive Multi-Target Video Segmentation MeViS: A multi-modal dataset for referring motion expression video segmentation.IEEE TPAMI, 47(12):11400–11416, 2025
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T03:06:43.936860Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation df158df1-66b3-4c15-8e00-63a9bffddb3a · outbound
This paper cites SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory.
SAM-MT: Real-Time Interactive Multi-Target Video Segmentation SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory
Reference 13
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T03:06:43.593613Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 7a7c2a76-4956-44fc-a2a1-3f2a261c5cab · outbound
This paper cites A distractor-aware memory for visual object tracking with sam2.
SAM-MT: Real-Time Interactive Multi-Target Video Segmentation A distractor-aware memory for visual object tracking with sam2
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T03:06:43.960246Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation c46bdff7-3ec0-4f3c-83af-982324227488 · outbound
This paper cites Modular interactive video object segmentation: Interaction- to-mask, propagation and difference-aware fusion.
SAM-MT: Real-Time Interactive Multi-Target Video Segmentation Modular interactive video object segmentation: Interaction- to-mask, propagation and difference-aware fusion
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T03:06:43.924366Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 358eb817-b68c-4835-83f2-ef9a107719ef · outbound
This paper cites Learning position and target consistency for memory-based video object segmentation.
SAM-MT: Real-Time Interactive Multi-Target Video Segmentation Learning position and target consistency for memory-based video object segmentation
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T03:06:43.939435Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 888d7a63-9384-4efe-aa14-e7e8079386e1 · outbound
This paper cites Efficient regional memory network for video object segmentation.
SAM-MT: Real-Time Interactive Multi-Target Video Segmentation Efficient regional memory network for video object segmentation
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T03:06:43.954348Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 161a26fc-b068-4cea-86b0-3bcea8907cc3 · outbound
This paper cites Swiftnet: Real-timevideoobjectsegmentation.
SAM-MT: Real-Time Interactive Multi-Target Video Segmentation Swiftnet: Real-timevideoobjectsegmentation
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T03:06:43.932494Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 0a58ad69-d8b4-421f-b708-fefc99e3e5e4 · outbound
This paper cites Xmem++: Production-level video segmentation from few annotated frames.
SAM-MT: Real-Time Interactive Multi-Target Video Segmentation Xmem++: Production-level video segmentation from few annotated frames
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T03:06:43.930626Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 298dfe0f-b1aa-4bcf-9521-54b7e69cdce6 · outbound
This paper cites Tracking anything with decoupled video segmentation.
SAM-MT: Real-Time Interactive Multi-Target Video Segmentation Tracking anything with decoupled video segmentation
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T03:06:43.913875Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 4eaf65a2-4ca2-4791-b4ac-8231477cf861 · outbound
This paper cites Lvos: A benchmark for large-scale long-term video object segmentation.IEEE TPAMI, 2025.
SAM-MT: Real-Time Interactive Multi-Target Video Segmentation Lvos: A benchmark for large-scale long-term video object segmentation.IEEE TPAMI, 2025
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T03:06:43.919650Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 3407bac9-c7c8-4b40-8a9e-f29a430064ce · outbound
This paper cites Hierarchical memory matching network for video object segmentation.
SAM-MT: Real-Time Interactive Multi-Target Video Segmentation Hierarchical memory matching network for video object segmentation
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T03:06:43.913547Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation d5eac60c-6812-4860-928c-c81c9979056c · outbound
This paper cites Per-clip video object segmentation.
SAM-MT: Real-Time Interactive Multi-Target Video Segmentation Per-clip video object segmentation
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T03:06:43.926261Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 199e1015-8f1c-4b6b-adb9-90bae8869fba · outbound
This paper cites Transformer-based visual segmentation: A survey.IEEE TPAMI, 2024.
SAM-MT: Real-Time Interactive Multi-Target Video Segmentation Transformer-based visual segmentation: A survey.IEEE TPAMI, 2024
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T03:06:43.928397Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation e5b54164-1eb4-49dd-9545-d3effec09adf · outbound
This paper cites Towards open vocabulary learning: A survey.IEEE TPAMI, 2024.
SAM-MT: Real-Time Interactive Multi-Target Video Segmentation Towards open vocabulary learning: A survey.IEEE TPAMI, 2024
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T03:06:43.905492Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation c3bb0124-60d0-4d1d-99e3-60b2b6e7d6cb · outbound
This paper cites VLT: Vision-language transformer and query generation for referring segmentation.IEEE TPAMI, 45(6):7900–7916, 2023.
SAM-MT: Real-Time Interactive Multi-Target Video Segmentation VLT: Vision-language transformer and query generation for referring segmentation.IEEE TPAMI, 45(6):7900–7916, 2023
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T03:06:43.934741Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 0eadb7b5-b2fe-4b00-9347-8776de0fbdb3 · outbound
This paper cites Multimodal referring segmentation: A survey.IJCV, 2026.
SAM-MT: Real-Time Interactive Multi-Target Video Segmentation Multimodal referring segmentation: A survey.IJCV, 2026
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T03:06:43.903960Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation b6a719ee-99cb-4528-88fe-cb3b270ccb94 · outbound
This paper cites Per-pixel classification is not all you need for semantic segmentation.NeurIPS, 34:17864–17875, 2021.
SAM-MT: Real-Time Interactive Multi-Target Video Segmentation Per-pixel classification is not all you need for semantic segmentation.NeurIPS, 34:17864–17875, 2021
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T03:06:43.886050Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation fc179b54-0c28-428f-b06d-7b46a2b8a0a2 · outbound
This paper cites Scaling open-vocabulary image segmentation with image-level labels.
SAM-MT: Real-Time Interactive Multi-Target Video Segmentation Scaling open-vocabulary image segmentation with image-level labels
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T03:06:43.917518Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 725c7da1-da0b-4bc2-a376-bc8604f24d88 · outbound
This paper cites Masked-attention mask transformer for universal image segmentation.
SAM-MT: Real-Time Interactive Multi-Target Video Segmentation Masked-attention mask transformer for universal image segmentation
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T03:06:43.921831Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 58714759-d678-417e-8d25-9ab3673e352e · outbound
This paper cites Fastinst: A simple query-based model for real-time instance segmentation.
SAM-MT: Real-Time Interactive Multi-Target Video Segmentation Fastinst: A simple query-based model for real-time instance segmentation
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T03:06:43.964130Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 4b04e013-8eb5-47c6-bbe4-d99598a44ca1 · outbound
This paper cites A survey on 3d gaussian splatting in segmentation, editing and generation.IEEE TPAMI, 2026.
SAM-MT: Real-Time Interactive Multi-Target Video Segmentation A survey on 3d gaussian splatting in segmentation, editing and generation.IEEE TPAMI, 2026
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T03:06:43.907542Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation e2844507-dded-4b42-bda8-e9846dacb814 · outbound
This paper cites Mask dino: Towards a unified transformer-based framework for object detection and segmentation.
SAM-MT: Real-Time Interactive Multi-Target Video Segmentation Mask dino: Towards a unified transformer-based framework for object detection and segmentation
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T03:06:43.919825Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation c81c906c-a51b-426b-ac39-48c4852c9b50 · outbound
This paper cites Oneformer: One transformer to rule universal image segmentation.
SAM-MT: Real-Time Interactive Multi-Target Video Segmentation Oneformer: One transformer to rule universal image segmentation
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T03:06:43.905656Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 5a9ff550-7f68-42c7-a856-1a2a6a16ee27 · outbound
This paper cites Segment anything.
SAM-MT: Real-Time Interactive Multi-Target Video Segmentation Segment anything
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T03:06:43.909684Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation d9eb9627-9c59-4736-9ee1-bb79eb3c7b9a · outbound
This paper cites Segment anything in high quality.NeurIPS, 36:29914–29934, 2023.
SAM-MT: Real-Time Interactive Multi-Target Video Segmentation Segment anything in high quality.NeurIPS, 36:29914–29934, 2023
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T03:06:43.899560Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation a2c2218b-556c-4bdd-91d4-c672bdeb00e0 · outbound
This paper cites Entitysam: Segment everything in video.
SAM-MT: Real-Time Interactive Multi-Target Video Segmentation Entitysam: Segment everything in video
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T03:06:43.915786Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 9184c21b-0b06-4727-ade7-d8a3d7260127 · outbound
This paper cites GRES: Generalized referring expression segmentation.
SAM-MT: Real-Time Interactive Multi-Target Video Segmentation GRES: Generalized referring expression segmentation
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T03:06:43.926061Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 528dbb0a-9b39-4475-aa3d-9547e8dcf970 · outbound
This paper cites Vision-language transformer and query generation for referring segmentation.
SAM-MT: Real-Time Interactive Multi-Target Video Segmentation Vision-language transformer and query generation for referring segmentation
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T03:06:43.877720Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation f39d8cb2-5a0c-4ccc-a3f7-7c6a1181246e · outbound
This paper cites Continual learning for image segmentation with dynamic query.IEEE Transactions on Circuits and Systems for Video Technology, 34 (6):4874–4886, 2023.
SAM-MT: Real-Time Interactive Multi-Target Video Segmentation Continual learning for image segmentation with dynamic query.IEEE Transactions on Circuits and Systems for Video Technology, 34 (6):4874–4886, 2023
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T03:06:43.869386Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 2d56c772-f1b1-4dc9-a720-126e5fb52226 · outbound
This paper cites Rethinking query-based transformer for continual image segmentation.
SAM-MT: Real-Time Interactive Multi-Target Video Segmentation Rethinking query-based transformer for continual image segmentation
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T03:06:43.871299Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 40c27ab0-2a6e-47a7-a907-2191408491a9 · outbound
This paper cites Primitivenet: decomposing the global constraints for referring segmentation.Visual Intelligence, 2(1):16, 2024.
SAM-MT: Real-Time Interactive Multi-Target Video Segmentation Primitivenet: decomposing the global constraints for referring segmentation.Visual Intelligence, 2(1):16, 2024
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T03:06:43.893859Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation c23fbff6-1f85-46ab-97e7-6a407f459a16 · outbound
This paper cites GREx: Generalized referring expression segmentation, comprehension, and generation.IJCV, 2026.
SAM-MT: Real-Time Interactive Multi-Target Video Segmentation GREx: Generalized referring expression segmentation, comprehension, and generation.IJCV, 2026
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T03:06:43.940636Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 6d9ccf74-0757-4304-b706-49656dde6509 · outbound
This paper cites Fully convolutional networks for semantic segmentation.
SAM-MT: Real-Time Interactive Multi-Target Video Segmentation Fully convolutional networks for semantic segmentation
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T03:06:43.897559Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation f3acd39c-a09a-4082-8c6d-d3fa14e6d4db · outbound
This paper cites Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs.IEEE TPAMI, 40 (4):834–848, 2017.
SAM-MT: Real-Time Interactive Multi-Target Video Segmentation Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs.IEEE TPAMI, 40 (4):834–848, 2017
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T03:06:43.921990Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 2768820e-3894-4f02-847c-a553ae81758f · outbound
This paper cites Mask r-cnn.
SAM-MT: Real-Time Interactive Multi-Target Video Segmentation Mask r-cnn
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T03:06:43.965959Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation f380a21f-ad29-45a0-8f66-da1da372ddda · outbound
This paper cites Boundary-preserving mask r-cnn.
SAM-MT: Real-Time Interactive Multi-Target Video Segmentation Boundary-preserving mask r-cnn
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T03:06:43.948469Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 1a457714-7e6c-4925-996d-6a14c7b32e49 · outbound
This paper cites Attention is all you need.
SAM-MT: Real-Time Interactive Multi-Target Video Segmentation Attention is all you need
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T03:06:43.950617Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation aacbb5a3-64a2-4e90-bd87-ffdedc95b691 · outbound
This paper cites Mask2Former for Video Instance Segmentation.
SAM-MT: Real-Time Interactive Multi-Target Video Segmentation Mask2Former for Video Instance Segmentation
Reference 49
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T03:06:43.602664Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 431a1c91-eb72-410d-929f-93f2236e182f · outbound
This paper cites Deep residual learning for image recognition.
SAM-MT: Real-Time Interactive Multi-Target Video Segmentation Deep residual learning for image recognition
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T03:06:43.944572Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 6c91dd84-4627-4991-9a2c-2245878ef10e · outbound
This paper cites Lvos: A benchmark for long-term video object segmentation.
SAM-MT: Real-Time Interactive Multi-Target Video Segmentation Lvos: A benchmark for long-term video object segmentation
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T03:06:43.942564Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 269cdef4-8cf0-46aa-ae11-58c1b05fd85a · outbound
This paper cites Associating objects with transformers for video object segmentation.
SAM-MT: Real-Time Interactive Multi-Target Video Segmentation Associating objects with transformers for video object segmentation
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T03:06:43.952449Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 60e55d6b-71be-4a68-8055-c51090c1c37d · outbound
This paper cites Decoupling features in hierarchical propagation for video object segmentation.
SAM-MT: Real-Time Interactive Multi-Target Video Segmentation Decoupling features in hierarchical propagation for video object segmentation
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T03:06:43.956487Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 58aa81f1-2b53-49f7-99b7-a5a1df4f439f · outbound
This paper cites Recurrent dynamic embedding for video object segmentation.
SAM-MT: Real-Time Interactive Multi-Target Video Segmentation Recurrent dynamic embedding for video object segmentation
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T03:06:43.958457Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 323c6fae-5e33-47f6-9d5c-cb8cadaa007a · outbound
This paper cites Lisa: Reasoning segmentation via large language model.
SAM-MT: Real-Time Interactive Multi-Target Video Segmentation Lisa: Reasoning segmentation via large language model
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T03:06:43.967847Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 18829729-5dd8-44c4-9eab-9bddecfc242f · outbound
This paper cites Adamcot: Rethinking cross-lingual factual reasoning through adaptive multilingual chain-of-thought.
SAM-MT: Real-Time Interactive Multi-Target Video Segmentation Adamcot: Rethinking cross-lingual factual reasoning through adaptive multilingual chain-of-thought
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T03:06:43.896537Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 1791961e-de55-4ebb-8c53-3ee26c2ee274 · outbound
This paper cites Ccl-xcot: An efficient cross-lingual knowledge transfer method for mitigating hallucination generation.
SAM-MT: Real-Time Interactive Multi-Target Video Segmentation Ccl-xcot: An efficient cross-lingual knowledge transfer method for mitigating hallucination generation
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T03:06:43.894233Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 416097cd-bf9d-4a1a-944f-ca0b51896f57 · outbound
This paper cites One token to seg them all: Language instructed reasoning segmentation in videos.
SAM-MT: Real-Time Interactive Multi-Target Video Segmentation One token to seg them all: Language instructed reasoning segmentation in videos
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T03:06:43.946521Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation ecbc4ea4-6c23-49b2-8f71-8b41ecf7c2cb · outbound
This paper cites Sa2VA: Marrying SAM2 with LLaVA for Dense Grounded Understanding of Images and Videos.
SAM-MT: Real-Time Interactive Multi-Target Video Segmentation Sa2VA: Marrying SAM2 with LLaVA for Dense Grounded Understanding of Images and Videos
Reference 59
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T03:06:43.599834Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 0177f891-ccea-405f-ad11-45cb2e1a67e0 · outbound
This paper cites InACM MM, pages 2880–2889.
SAM-MT: Real-Time Interactive Multi-Target Video Segmentation InACM MM, pages 2880–2889
Reference 60
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-10T03:06:43.596828Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Pith citing papers
No inbound Pith citation observations are available.