MPG-SAM 2: Adapting SAM 2 with Mask Priors and Global Context for Referring Video Object Segmentation | Paper Citation Record

Observation 4e1c3f6c-bbc6-4ba5-8b13-9314fc777a8e · outbound

This paper cites Xmem++: Production-level video segmentation from few annotated frames.

MPG-SAM 2: Adapting SAM 2 with Mask Priors and Global Context for Referring Video Object Segmentation Xmem++: Production-level video segmentation from few annotated frames

Reference 1

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Observation bbc84f67-177f-4a4d-9f71-db45046f149d · outbound

This paper cites RefVOS: A Closer Look at Referring Expressions for Video Object Segmentation.

MPG-SAM 2: Adapting SAM 2 with Mask Priors and Global Context for Referring Video Object Segmentation RefVOS: A Closer Look at Referring Expressions for Video Object Segmentation

Reference 2

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Observation 6bf26444-f89a-4366-b158-ec586a8a771a · outbound

This paper cites End-to-end referring video object segmentation with multi- modal transformers.

MPG-SAM 2: Adapting SAM 2 with Mask Priors and Global Context for Referring Video Object Segmentation End-to-end referring video object segmentation with multi- modal transformers

Reference 3

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This paper cites End-to-end referring video object segmentation with multi- modal transformers.

MPG-SAM 2: Adapting SAM 2 with Mask Priors and Global Context for Referring Video Object Segmentation End-to-end referring video object segmentation with multi- modal transformers

Reference 4

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This paper cites End- to-end object detection with transformers.

MPG-SAM 2: Adapting SAM 2 with Mask Priors and Global Context for Referring Video Object Segmentation End- to-end object detection with transformers

Reference 5

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Observation 755fb4b8-5a47-4de1-9e55-e8b1463f784c · outbound

This paper cites Xmem: Long- term video object segmentation with an atkinson-shiffrin memory model.

MPG-SAM 2: Adapting SAM 2 with Mask Priors and Global Context for Referring Video Object Segmentation Xmem: Long- term video object segmentation with an atkinson-shiffrin memory model

Reference 6

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Observation ff279dd1-d879-4b85-adb0-7c78be7d3270 · outbound

This paper cites Putting the object back into video object segmentation.

MPG-SAM 2: Adapting SAM 2 with Mask Priors and Global Context for Referring Video Object Segmentation Putting the object back into video object segmentation

Reference 7

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Observation 4546e337-6ea6-4a03-8f0c-ec6d3e3a81d0 · outbound

This paper cites Segment and Track Anything.

MPG-SAM 2: Adapting SAM 2 with Mask Priors and Global Context for Referring Video Object Segmentation Segment and Track Anything

Reference 8

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Observation 055a0632-966b-491b-95e1-cc2a2fbb4493 · outbound

This paper cites Unsupervised Cross-lingual Representation Learning at Scale.

MPG-SAM 2: Adapting SAM 2 with Mask Priors and Global Context for Referring Video Object Segmentation Unsupervised Cross-lingual Representation Learning at Scale

Reference 9

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Observation ff018f14-f355-42b4-b98e-04a998bfec9a · outbound

This paper cites Vision-language transformer and query generation for refer- ring segmentation.

MPG-SAM 2: Adapting SAM 2 with Mask Priors and Global Context for Referring Video Object Segmentation Vision-language transformer and query generation for refer- ring segmentation

Reference 10

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Observation 0fa86d86-2c75-4729-a592-455d0adf2496 · outbound

This paper cites Mevis: A large-scale benchmark for video segmentation with motion expressions.

MPG-SAM 2: Adapting SAM 2 with Mask Priors and Global Context for Referring Video Object Segmentation Mevis: A large-scale benchmark for video segmentation with motion expressions

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:48:00.913517Z

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Observation 5971daea-c441-47f0-b780-85b500c13e4d · outbound

This paper cites Language-bridged spatial-temporal interaction for referring video object segmentation.

MPG-SAM 2: Adapting SAM 2 with Mask Priors and Global Context for Referring Video Object Segmentation Language-bridged spatial-temporal interaction for referring video object segmentation

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:48:00.896976Z

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Observation f94ac849-ef94-41d6-ab2c-b0ef10281cb4 · outbound

This paper cites Unified embedding alignment for open-vocabulary video instance segmentation.

MPG-SAM 2: Adapting SAM 2 with Mask Priors and Global Context for Referring Video Object Segmentation Unified embedding alignment for open-vocabulary video instance segmentation

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:48:00.881133Z

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Observation 64500324-77b2-49a1-b524-4c5921b9300e · outbound

This paper cites Html: Hybrid temporal-scale mul- timodal learning framework for referring video object seg- mentation.

MPG-SAM 2: Adapting SAM 2 with Mask Priors and Global Context for Referring Video Object Segmentation Html: Hybrid temporal-scale mul- timodal learning framework for referring video object seg- mentation

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:48:00.865317Z

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Observation 160ea41c-b019-473c-9647-601d3cdd12c5 · outbound

This paper cites Decoupling static and hier- archical motion perception for referring video segmentation.

MPG-SAM 2: Adapting SAM 2 with Mask Priors and Global Context for Referring Video Object Segmentation Decoupling static and hier- archical motion perception for referring video segmentation

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:48:00.848532Z

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Observation 7161f8c8-2472-4e51-8763-388d1fb61b66 · outbound

This paper cites Unleashing the Temporal-Spatial Reasoning Capacity of GPT for Training-Free Audio and Language Referenced Video Object Segmentation.

MPG-SAM 2: Adapting SAM 2 with Mask Priors and Global Context for Referring Video Object Segmentation Unleashing the Temporal-Spatial Reasoning Capacity of GPT for Training-Free Audio and Language Referenced Video Object Segmentation

Reference 16

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Observation 69c6c784-e421-4ba8-806c-7309be4bb745 · outbound

This paper cites Segment anything in high qual- ity.Advances in Neural Information Processing Systems, 36,.

MPG-SAM 2: Adapting SAM 2 with Mask Priors and Global Context for Referring Video Object Segmentation Segment anything in high qual- ity.Advances in Neural Information Processing Systems, 36,

Reference 17

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Observation dfe47324-1f8c-4d7a-aaad-9288711f0ff0 · outbound

This paper cites Video object segmentation with language referring expressions.

MPG-SAM 2: Adapting SAM 2 with Mask Priors and Global Context for Referring Video Object Segmentation Video object segmentation with language referring expressions

Reference 18

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Observation 4e3d5cfb-376c-4f68-a950-94455ae29c78 · outbound

This paper cites Segment any- thing.

MPG-SAM 2: Adapting SAM 2 with Mask Priors and Global Context for Referring Video Object Segmentation Segment any- thing

Reference 19

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Observation b89bf872-4ce4-4000-89c9-2bd0ba6b7222 · outbound

This paper cites Lisa: Reasoning segmentation via large language model.

MPG-SAM 2: Adapting SAM 2 with Mask Priors and Global Context for Referring Video Object Segmentation Lisa: Reasoning segmentation via large language model

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:48:00.780736Z

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Observation ced4a7ee-c08d-48ca-af59-a115b9104a63 · outbound

This paper cites Learning to learn better for video object segmentation.

MPG-SAM 2: Adapting SAM 2 with Mask Priors and Global Context for Referring Video Object Segmentation Learning to learn better for video object segmentation

Reference 21

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Observation 328add4e-aec4-408f-9b64-772b9545be10 · outbound

This paper cites an unresolved cited work.

MPG-SAM 2: Adapting SAM 2 with Mask Priors and Global Context for Referring Video Object Segmentation Unresolved cited work

Reference 22

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Observation 5b791fd6-2d71-4e4c-a4a1-6985029cb2a2 · outbound

This paper cites Bidirectional correlation-driven inter-frame inter- action transformer for referring video object segmentation.

MPG-SAM 2: Adapting SAM 2 with Mask Priors and Global Context for Referring Video Object Segmentation Bidirectional correlation-driven inter-frame inter- action transformer for referring video object segmentation

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:48:00.733566Z

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Observation 9701dfa4-8e8e-4eef-886e-cd73a0ea8d1c · outbound

This paper cites You only infer once: Cross-modal meta-transfer for referring video object segmentation.

MPG-SAM 2: Adapting SAM 2 with Mask Priors and Global Context for Referring Video Object Segmentation You only infer once: Cross-modal meta-transfer for referring video object segmentation

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:48:00.717969Z

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Observation e5c6324e-ed1f-44bc-9d23-12fb89929b46 · outbound

This paper cites RefSAM: Efficiently Adapting Segmenting Anything Model for Referring Video Object Segmentation.

MPG-SAM 2: Adapting SAM 2 with Mask Priors and Global Context for Referring Video Object Segmentation RefSAM: Efficiently Adapting Segmenting Anything Model for Referring Video Object Segmentation

Reference 25

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Observation 3e9f7077-2c38-4e6e-99f5-159afcd2d098 · outbound

This paper cites Visual instruction tuning.Advances in neural information processing systems, 36, 2024.

MPG-SAM 2: Adapting SAM 2 with Mask Priors and Global Context for Referring Video Object Segmentation Visual instruction tuning.Advances in neural information processing systems, 36, 2024

Reference 26

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Observation fd5bc5ec-19e1-40f6-b456-e6f50d648946 · outbound

This paper cites Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection.

MPG-SAM 2: Adapting SAM 2 with Mask Priors and Global Context for Referring Video Object Segmentation Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection

Reference 27

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Observation 230a054c-9723-4a4a-93ea-8bf4aac4c325 · outbound

This paper cites Decoupled weight decay regularization.

MPG-SAM 2: Adapting SAM 2 with Mask Priors and Global Context for Referring Video Object Segmentation Decoupled weight decay regularization

Reference 28

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Observation d947f84c-2012-4c4a-94d4-3e539f1415bd · outbound

This paper cites Soc: Semantic-assisted object cluster for referring video object segmentation.Advances in Neural Information Processing Systems, 36, 2024.

MPG-SAM 2: Adapting SAM 2 with Mask Priors and Global Context for Referring Video Object Segmentation Soc: Semantic-assisted object cluster for referring video object segmentation.Advances in Neural Information Processing Systems, 36, 2024

Reference 29

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Observation 50a38455-8280-4a0f-9131-321f32e3234f · outbound

This paper cites Generation and comprehension of unambiguous object descriptions.

MPG-SAM 2: Adapting SAM 2 with Mask Priors and Global Context for Referring Video Object Segmentation Generation and comprehension of unambiguous object descriptions

Reference 30

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Observation bd1b8c88-a717-449d-a81c-135e74c8e4ab · outbound

This paper cites Visual-textual capsule routing for text-based video segmentation.

MPG-SAM 2: Adapting SAM 2 with Mask Priors and Global Context for Referring Video Object Segmentation Visual-textual capsule routing for text-based video segmentation

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:48:00.655677Z

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Observation 38e25771-d08d-407a-a24a-19c3b8c25675 · outbound

This paper cites Spectrum-guided multi-granularity referring video object segmentation.

MPG-SAM 2: Adapting SAM 2 with Mask Priors and Global Context for Referring Video Object Segmentation Spectrum-guided multi-granularity referring video object segmentation

Reference 32

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Observation 04df44cf-137c-43d2-9023-03e4e5a2394f · outbound

This paper cites V-net: Fully convolutional neural networks for volumetric medical image segmentation.

MPG-SAM 2: Adapting SAM 2 with Mask Priors and Global Context for Referring Video Object Segmentation V-net: Fully convolutional neural networks for volumetric medical image segmentation

Reference 33

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Observation ad7d8cdc-6449-4416-bddc-15badaeee255 · outbound

This paper cites Video object segmentation using space-time memory networks.

MPG-SAM 2: Adapting SAM 2 with Mask Priors and Global Context for Referring Video Object Segmentation Video object segmentation using space-time memory networks

Reference 34

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Observation b476880e-13e2-4bc3-ba23-53d3216bf272 · outbound

This paper cites Semantic and sequential alignment for referring video object segmentation.

MPG-SAM 2: Adapting SAM 2 with Mask Priors and Global Context for Referring Video Object Segmentation Semantic and sequential alignment for referring video object segmentation

Reference 35

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Observation a2d4b4e7-3df5-46c6-88d9-7eb0fb05c1c2 · outbound

This paper cites The 2017 DAVIS Challenge on Video Object Segmentation.

MPG-SAM 2: Adapting SAM 2 with Mask Priors and Global Context for Referring Video Object Segmentation The 2017 DAVIS Challenge on Video Object Segmentation

Reference 36

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Observation e384604e-d98d-4289-b000-5cd9177d1b1e · outbound

This paper cites Glamm: Pixel grounding large multimodal model.

MPG-SAM 2: Adapting SAM 2 with Mask Priors and Global Context for Referring Video Object Segmentation Glamm: Pixel grounding large multimodal model

Reference 37

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Observation 36430e9f-d503-4473-b3e4-ed7f044aac35 · outbound

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

MPG-SAM 2: Adapting SAM 2 with Mask Priors and Global Context for Referring Video Object Segmentation SAM 2: Segment Anything in Images and Videos

Reference 38

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Observation 1dd84681-af88-483f-aac6-521cc1ddbc2e · outbound

This paper cites Cus- tomized sam 2 for referring remote sensing image segmenta- tion.arXiv preprint arXiv:2503.07266, 2025.

MPG-SAM 2: Adapting SAM 2 with Mask Priors and Global Context for Referring Video Object Segmentation Cus- tomized sam 2 for referring remote sensing image segmenta- tion.arXiv preprint arXiv:2503.07266, 2025

Reference 39

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Observation 92ed7359-2cfb-4b8d-985e-b3e434a333e0 · outbound

This paper cites Urvos: Unified referring video object segmentation network with a large-scale benchmark.

MPG-SAM 2: Adapting SAM 2 with Mask Priors and Global Context for Referring Video Object Segmentation Urvos: Unified referring video object segmentation network with a large-scale benchmark

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:48:00.567693Z

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Observation 94e8d278-d03b-4049-8de5-aca91dbf4e0b · outbound

This paper cites Temporal collection and distribution for referring video object segmentation.

MPG-SAM 2: Adapting SAM 2 with Mask Priors and Global Context for Referring Video Object Segmentation Temporal collection and distribution for referring video object segmentation

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:48:00.552878Z

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Observation 3065cf5b-7afd-4526-833f-13bb09643fd2 · outbound

This paper cites Samrs: Scaling-up re- mote sensing segmentation dataset with segment anything model.Advances in Neural Information Processing Systems, 36, 2024.

MPG-SAM 2: Adapting SAM 2 with Mask Priors and Global Context for Referring Video Object Segmentation Samrs: Scaling-up re- mote sensing segmentation dataset with segment anything model.Advances in Neural Information Processing Systems, 36, 2024

Reference 42

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Observation a1d6c23c-9577-466b-b38a-327dcc6a4f30 · outbound

This paper cites Asymmetric cross-guided attention network for actor and ac- tion video segmentation from natural language query.

MPG-SAM 2: Adapting SAM 2 with Mask Priors and Global Context for Referring Video Object Segmentation Asymmetric cross-guided attention network for actor and ac- tion video segmentation from natural language query

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:48:00.521970Z

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Observation 5959649d-ce2c-46b4-9e05-e8c3ca604f26 · outbound

This paper cites Image as a foreign language: Beit pretraining for vision and vision- language tasks.

MPG-SAM 2: Adapting SAM 2 with Mask Priors and Global Context for Referring Video Object Segmentation Image as a foreign language: Beit pretraining for vision and vision- language tasks

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:48:00.504760Z

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Observation 8f1e15ea-a785-4cc4-ace7-b3b1e43c0986 · outbound

This paper cites HyperSeg: Towards Universal Visual Segmentation with Large Language Model.

MPG-SAM 2: Adapting SAM 2 with Mask Priors and Global Context for Referring Video Object Segmentation HyperSeg: Towards Universal Visual Segmentation with Large Language Model

Reference 45

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Observation 99a2b93d-69c9-4020-8819-a18dc653a03a · outbound

This paper cites Multi-level representation learning with semantic alignment for referring video object segmentation.

MPG-SAM 2: Adapting SAM 2 with Mask Priors and Global Context for Referring Video Object Segmentation Multi-level representation learning with semantic alignment for referring video object segmentation

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:48:00.488432Z

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Observation dcaacb23-6094-40d8-a4eb-12d4d8299c9d · outbound

This paper cites Onlinerefer: A simple online baseline for referring video object segmentation.

MPG-SAM 2: Adapting SAM 2 with Mask Priors and Global Context for Referring Video Object Segmentation Onlinerefer: A simple online baseline for referring video object segmentation

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:48:00.471795Z

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Observation 27dad8b8-5237-45d9-b191-642f246c9a2d · outbound

This paper cites Language as queries for referring video object segmen- tation.

MPG-SAM 2: Adapting SAM 2 with Mask Priors and Global Context for Referring Video Object Segmentation Language as queries for referring video object segmen- tation

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:48:00.455585Z

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Observation af69f5b1-cba9-4ea5-bb47-dfc980093eef · outbound

This paper cites Logiczsl: Exploring logic- induced representation for compositional zero-shot learning.

MPG-SAM 2: Adapting SAM 2 with Mask Priors and Global Context for Referring Video Object Segmentation Logiczsl: Exploring logic- induced representation for compositional zero-shot learning

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:48:00.438701Z

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Observation 3690eaf6-802f-4159-9288-f20a2e6b9847 · outbound

This paper cites Efficientsam: Leveraged masked image pretraining for efficient segment anything.

MPG-SAM 2: Adapting SAM 2 with Mask Priors and Global Context for Referring Video Object Segmentation Efficientsam: Leveraged masked image pretraining for efficient segment anything

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:48:00.422489Z

Source-reported events for the cited work

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Observation d52ffb01-c86d-4286-9866-779efd545e76 · outbound

This paper cites u-LLaVA: Unifying Multi-Modal Tasks via Large Language Model.

MPG-SAM 2: Adapting SAM 2 with Mask Priors and Global Context for Referring Video Object Segmentation u-LLaVA: Unifying Multi-Modal Tasks via Large Language Model

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-10T15:47:59.877607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de3c20d8-e016-42fd-8746-f16c4ab22481 · outbound

This paper cites Visa: Reasoning video object segmentation via large language models.

MPG-SAM 2: Adapting SAM 2 with Mask Priors and Global Context for Referring Video Object Segmentation Visa: Reasoning video object segmentation via large language models

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:48:00.405801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f36f6979-76b4-4c7c-9717-e82879d29075 · outbound

This paper cites Referred by multi-modality: A unified tem- poral transformer for video object segmentation.

MPG-SAM 2: Adapting SAM 2 with Mask Priors and Global Context for Referring Video Object Segmentation Referred by multi-modality: A unified tem- poral transformer for video object segmentation

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:48:00.390008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 39fab523-0cbf-4cde-a3ea-496bc9ffb894 · outbound

This paper cites Modeling context in referring expres- sions.

MPG-SAM 2: Adapting SAM 2 with Mask Priors and Global Context for Referring Video Object Segmentation Modeling context in referring expres- sions

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:48:00.372685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation cc420157-1065-4e3b-a348-dada5e697f3f · outbound

This paper cites A Simple Baseline with Single-encoder for Referring Image Segmentation.

MPG-SAM 2: Adapting SAM 2 with Mask Priors and Global Context for Referring Video Object Segmentation A Simple Baseline with Single-encoder for Referring Image Segmentation

Reference 55

Resolution: verified exact; local_arxiv, observed 2026-08-10T15:48:00.007696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 959aed02-6d41-47d3-9e66-7763d8836a05 · outbound

This paper cites Losh: Long-short text joint prediction network for referring video object segmentation.

MPG-SAM 2: Adapting SAM 2 with Mask Priors and Global Context for Referring Video Object Segmentation Losh: Long-short text joint prediction network for referring video object segmentation

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-10T15:47:59.901850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 015c654e-2242-41cf-a9d4-161540a8f6cb · outbound

This paper cites Surgicalsam: Efficient class prompt- able surgical instrument segmentation.

MPG-SAM 2: Adapting SAM 2 with Mask Priors and Global Context for Referring Video Object Segmentation Surgicalsam: Efficient class prompt- able surgical instrument segmentation

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-10T15:47:59.906540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42fa24c1-7262-43ff-885e-fd50ec4fb259 · outbound

This paper cites Faster Segment Anything: Towards Lightweight SAM for Mobile Applications.

MPG-SAM 2: Adapting SAM 2 with Mask Priors and Global Context for Referring Video Object Segmentation Faster Segment Anything: Towards Lightweight SAM for Mobile Applications

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-10T15:47:59.911548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 747b87e0-fc36-405d-a4e0-52a21ae4e60d · outbound

This paper cites EVF-SAM: Early Vision-Language Fusion for Text-Prompted Segment Anything Model.

MPG-SAM 2: Adapting SAM 2 with Mask Priors and Global Context for Referring Video Object Segmentation EVF-SAM: Early Vision-Language Fusion for Text-Prompted Segment Anything Model

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-10T15:47:59.916575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a569ecdb-9f60-4755-9229-2bedc8ca6b6c · outbound

This paper cites Deformable detr: Deformable transformers for end-to-end object detection.

MPG-SAM 2: Adapting SAM 2 with Mask Priors and Global Context for Referring Video Object Segmentation Deformable detr: Deformable transformers for end-to-end object detection

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-10T15:47:59.922407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0cd8a6d0-c9f7-4798-b2df-3d797451fb83 · outbound

This paper cites Exploring pre-trained text- to-video diffusion models for referring video object segmen- tation.

MPG-SAM 2: Adapting SAM 2 with Mask Priors and Global Context for Referring Video Object Segmentation Exploring pre-trained text- to-video diffusion models for referring video object segmen- tation

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:48:00.326524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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