FRAME: Pre-Training Video Feature Representations via Anticipation and Memory | Paper Citation Record

Observation 3747041c-8cd9-492d-be05-5258c858e53d · outbound

This paper cites Self-supervised Object-Centric Learning for Videos.

FRAME: Pre-Training Video Feature Representations via Anticipation and Memory Self-supervised Object-Centric Learning for Videos

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-08-07T10:27:03.244802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation dec122db-7350-433f-8049-759b4eb3a591 · outbound

This paper cites Fully-Convolutional Siamese Networks for Object Tracking.

FRAME: Pre-Training Video Feature Representations via Anticipation and Memory Fully-Convolutional Siamese Networks for Object Tracking

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-08-07T10:27:03.060266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 241f286c-143a-41d6-aad5-4fc4f5104a5b · outbound

This paper cites an unresolved cited work.

FRAME: Pre-Training Video Feature Representations via Anticipation and Memory Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:27:04.002367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9d7786a1-03c0-4b7c-9345-89b60baab0f6 · outbound

This paper cites Emerging Properties in Self-Supervised Vision Transformers.

FRAME: Pre-Training Video Feature Representations via Anticipation and Memory Emerging Properties in Self-Supervised Vision Transformers

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T10:26:56.327573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 136b593e-054b-40c0-8cba-1e6c5ac50521 · outbound

This paper cites A Simple Framework for Contrastive Learning of Visual Representations.

FRAME: Pre-Training Video Feature Representations via Anticipation and Memory A Simple Framework for Contrastive Learning of Visual Representations

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T10:26:56.430091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c9830a1-1da1-4750-ab2b-2dfec7727654 · outbound

This paper cites Exploring Simple Siamese Representation Learning.

FRAME: Pre-Training Video Feature Representations via Anticipation and Memory Exploring Simple Siamese Representation Learning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T10:26:56.652735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cca99645-80ee-476b-819f-e7e2ec483e01 · outbound

This paper cites Tracking Anything with Decoupled Video Segmentation.

FRAME: Pre-Training Video Feature Representations via Anticipation and Memory Tracking Anything with Decoupled Video Segmentation

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T10:26:56.755323Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f613318c-2866-40df-a95f-55976169af5f · outbound

This paper cites Putting the Object Back into Video Object Segmentation.

FRAME: Pre-Training Video Feature Representations via Anticipation and Memory Putting the Object Back into Video Object Segmentation

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T10:26:56.844695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8272b971-cc30-4a9e-b18a-7d640c83a150 · outbound

This paper cites an unresolved cited work.

FRAME: Pre-Training Video Feature Representations via Anticipation and Memory Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:27:03.994420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8725609c-f12c-4f4b-882d-156bb4d77ae9 · outbound

This paper cites Doersch, A.

FRAME: Pre-Training Video Feature Representations via Anticipation and Memory Doersch, A

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:27:03.985668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0433ac2b-f287-49f3-a4bf-5ea004b69a6b · outbound

This paper cites Eymaël, R.

FRAME: Pre-Training Video Feature Representations via Anticipation and Memory Eymaël, R

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:27:03.977742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e26bfb12-99b0-4ff8-91e5-7094c69b37fa · outbound

This paper cites A Large-Scale Study on Unsupervised Spatiotemporal Representation Learning.

FRAME: Pre-Training Video Feature Representations via Anticipation and Memory A Large-Scale Study on Unsupervised Spatiotemporal Representation Learning

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-08-07T10:27:02.867254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ce2c6fce-6f4e-4aac-82f3-a201add82bc6 · outbound

This paper cites Grauman, A.

FRAME: Pre-Training Video Feature Representations via Anticipation and Memory Grauman, A

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:27:03.968950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6d00ed5d-2980-49be-8e70-6a311b2d186d · outbound

This paper cites Gupta, J.

FRAME: Pre-Training Video Feature Representations via Anticipation and Memory Gupta, J

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:27:03.960068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a4c8d04b-9d96-4fb1-af2c-d3cdb9c0ef66 · outbound

This paper cites Momentum Contrast for Unsupervised Visual Representation Learning.

FRAME: Pre-Training Video Feature Representations via Anticipation and Memory Momentum Contrast for Unsupervised Visual Representation Learning

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T10:26:57.500232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4ab7a08-36a7-4184-bfe3-f99d8183d1d3 · outbound

This paper cites an unresolved cited work.

FRAME: Pre-Training Video Feature Representations via Anticipation and Memory Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:27:03.951006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e4a6811e-1fd1-463e-b401-2314274aeabd · outbound

This paper cites an unresolved cited work.

FRAME: Pre-Training Video Feature Representations via Anticipation and Memory Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:27:03.942775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 15ee4353-4502-46f3-b31a-18fb3f4163e9 · outbound

This paper cites Space-Time Correspondence as a Contrastive Random Walk.

FRAME: Pre-Training Video Feature Representations via Anticipation and Memory Space-Time Correspondence as a Contrastive Random Walk

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T10:26:57.863321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f54fb717-9f43-494a-948f-8ae6e567440a · outbound

This paper cites Jhuang, J.

FRAME: Pre-Training Video Feature Representations via Anticipation and Memory Jhuang, J

Reference 22

Resolution: malformed identifier; no resolver link, observed 2026-08-07T10:26:57.927831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63aa4cfe-383e-47b3-849f-dd5d24a31edf · outbound

This paper cites CoTracker: It is Better to Track Together.

FRAME: Pre-Training Video Feature Representations via Anticipation and Memory CoTracker: It is Better to Track Together

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T10:26:57.990243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d94900eb-8934-406d-93ce-d7c2fc3a4cfe · outbound

This paper cites The Kinetics Human Action Video Dataset.

FRAME: Pre-Training Video Feature Representations via Anticipation and Memory The Kinetics Human Action Video Dataset

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T10:26:58.052557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61509798-0e3f-4c3b-b2ff-d3fa8e119566 · outbound

This paper cites Khosla, S.

FRAME: Pre-Training Video Feature Representations via Anticipation and Memory Khosla, S

Reference 25

Resolution: verified exact; raw_fallback, observed 2026-08-07T10:27:02.610398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3fd45c79-3869-4050-b1c2-fc2e153ac534 · outbound

This paper cites Segment Anything.

FRAME: Pre-Training Video Feature Representations via Anticipation and Memory Segment Anything

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T10:26:58.145168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2daaabb7-c22a-41f2-8edf-9f8b1818bb7e · outbound

This paper cites Kuehne, H.

FRAME: Pre-Training Video Feature Representations via Anticipation and Memory Kuehne, H

Reference 27

Resolution: malformed identifier; no resolver link, observed 2026-08-07T10:26:58.201275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 344394e4-3429-49a4-89a9-158b4aaa81a7 · outbound

This paper cites Joint-task Self-supervised Learning for Temporal Correspondence.

FRAME: Pre-Training Video Feature Representations via Anticipation and Memory Joint-task Self-supervised Learning for Temporal Correspondence

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-08-07T10:27:02.318566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation afe415da-e1c5-4bf7-9549-add591fc2b49 · outbound

This paper cites an unresolved cited work.

FRAME: Pre-Training Video Feature Representations via Anticipation and Memory Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:27:03.934310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5d8db677-0ef6-42f1-8878-dd5e2aada7c8 · outbound

This paper cites an unresolved cited work.

FRAME: Pre-Training Video Feature Representations via Anticipation and Memory Unresolved cited work

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T10:26:58.347979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 916fd0e2-a0a5-4594-bcf8-77e410fa51c5 · outbound

This paper cites Misra, C.

FRAME: Pre-Training Video Feature Representations via Anticipation and Memory Misra, C

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:27:03.926676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3b7a744a-7df0-48b2-b03e-9fbcea87adef · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

FRAME: Pre-Training Video Feature Representations via Anticipation and Memory DINOv2: Learning Robust Visual Features without Supervision

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T10:26:58.495985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42c73411-c453-4acc-be82-4f89be80b56f · outbound

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

FRAME: Pre-Training Video Feature Representations via Anticipation and Memory The 2017 DAVIS Challenge on Video Object Segmentation

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T10:26:58.556924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76778535-a78d-40ee-991e-bd8795000eb3 · outbound

This paper cites an unresolved cited work.

FRAME: Pre-Training Video Feature Representations via Anticipation and Memory Unresolved cited work

Reference 34

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:27:03.918396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c6cc08d7-bbfa-4765-9ecf-de748d330a6f · outbound

This paper cites Learning Transferable Visual Models From Natural Language Supervision.

FRAME: Pre-Training Video Feature Representations via Anticipation and Memory Learning Transferable Visual Models From Natural Language Supervision

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T10:26:58.719677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12096951-7ea5-481a-97c3-1c5b1f02b4f4 · outbound

This paper cites Ranasinghe, M.

FRAME: Pre-Training Video Feature Representations via Anticipation and Memory Ranasinghe, M

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:27:03.910214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 652e3848-feb2-48d4-a04c-a985cb022826 · outbound

This paper cites Ranzinger, G.

FRAME: Pre-Training Video Feature Representations via Anticipation and Memory Ranzinger, G

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:27:03.901689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7a21a2bd-f4da-43b5-b5d5-203e765557a6 · outbound

This paper cites Fine-tuned CLIP Models are Efficient Video Learners.

FRAME: Pre-Training Video Feature Representations via Anticipation and Memory Fine-tuned CLIP Models are Efficient Video Learners

Reference 38

Resolution: verified exact; local_arxiv, observed 2026-08-07T10:27:02.098834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cd207a04-67fe-4ffa-a901-cf4d916bc411 · outbound

This paper cites an unresolved cited work.

FRAME: Pre-Training Video Feature Representations via Anticipation and Memory Unresolved cited work

Reference 39

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:27:03.893723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 59beb273-b3c3-423f-9071-09fde54c3d36 · outbound

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

FRAME: Pre-Training Video Feature Representations via Anticipation and Memory SAM 2: Segment Anything in Images and Videos

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T10:26:59.026576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 608eebaa-edbd-464e-950f-02c5d95ccf1d · outbound

This paper cites Salehi, E.

FRAME: Pre-Training Video Feature Representations via Anticipation and Memory Salehi, E

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:27:03.885315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1ce80e29-79f4-4392-8aa9-50d17e1f2385 · outbound

This paper cites Sameni, K.

FRAME: Pre-Training Video Feature Representations via Anticipation and Memory Sameni, K

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:27:03.877127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b57555d6-8a01-4aba-bf93-5214b165c6dc · outbound

This paper cites Time-Contrastive Networks: Self-Supervised Learning from Video.

FRAME: Pre-Training Video Feature Representations via Anticipation and Memory Time-Contrastive Networks: Self-Supervised Learning from Video

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T10:26:59.275835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0621d52f-41f0-41d0-9c51-022ea67875d6 · outbound

This paper cites Region-Based Representations Revisited.

FRAME: Pre-Training Video Feature Representations via Anticipation and Memory Region-Based Representations Revisited

Reference 44

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T10:27:01.941110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1c7a520e-a0e3-412a-ba9e-825a4f371110 · outbound

This paper cites UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild.

FRAME: Pre-Training Video Feature Representations via Anticipation and Memory UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T10:26:59.394650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a3ce278-b861-4ab0-a19b-46b89a94b4c6 · outbound

This paper cites VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training.

FRAME: Pre-Training Video Feature Representations via Anticipation and Memory VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T10:26:59.459159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb5b97ec-663e-4590-9d54-37f6a8ed3860 · outbound

This paper cites DINO-Tracker: Taming DINO for Self-Supervised Point Tracking in a Single Video.

FRAME: Pre-Training Video Feature Representations via Anticipation and Memory DINO-Tracker: Taming DINO for Self-Supervised Point Tracking in a Single Video

Reference 47

Resolution: verified exact; local_arxiv, observed 2026-08-07T10:27:01.699803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2f9870ff-2b68-403d-8327-29aecad9838a · outbound

This paper cites Valmadre, L.

FRAME: Pre-Training Video Feature Representations via Anticipation and Memory Valmadre, L

Reference 48

Resolution: verified exact; doi, observed 2026-08-07T10:27:01.113263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f133875f-465d-4055-a12b-a1b2bf6f951e · outbound

This paper cites ActionCLIP: A New Paradigm for Video Action Recognition.

FRAME: Pre-Training Video Feature Representations via Anticipation and Memory ActionCLIP: A New Paradigm for Video Action Recognition

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-07T10:26:59.796244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2dc564fe-bf92-48f4-99b6-c24d41690e48 · outbound

This paper cites an unresolved cited work.

FRAME: Pre-Training Video Feature Representations via Anticipation and Memory Unresolved cited work

Reference 50

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:27:03.854216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f4b16e50-ff0d-48d3-86ab-c1d5d1630fc5 · outbound

This paper cites an unresolved cited work.

FRAME: Pre-Training Video Feature Representations via Anticipation and Memory Unresolved cited work

Reference 51

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:27:03.635499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 66795952-0924-49bf-8abd-8f5f9b65fd93 · outbound

This paper cites an unresolved cited work.

FRAME: Pre-Training Video Feature Representations via Anticipation and Memory Unresolved cited work

Reference 52

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:27:03.472517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 89638095-e7d9-4b61-9ddd-6e42162a3f61 · outbound

This paper cites Mask Propagation for Efficient Video Semantic Segmentation.

FRAME: Pre-Training Video Feature Representations via Anticipation and Memory Mask Propagation for Efficient Video Semantic Segmentation

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-07T10:27:00.201356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff2ce6b6-5e65-47c3-b5fe-22e9f8f83219 · outbound

This paper cites What Should Not Be Contrastive in Contrastive Learning.

FRAME: Pre-Training Video Feature Representations via Anticipation and Memory What Should Not Be Contrastive in Contrastive Learning

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-07T10:27:00.313883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fff358bb-25ac-4658-9b82-c9e02b7bb5a2 · outbound

This paper cites Rethinking Self-supervised Correspondence Learning: A Video Frame-level Similarity Perspective.

FRAME: Pre-Training Video Feature Representations via Anticipation and Memory Rethinking Self-supervised Correspondence Learning: A Video Frame-level Similarity Perspective

Reference 55

Resolution: verified exact; local_arxiv, observed 2026-08-07T10:27:01.507949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d28aa240-261e-4ce8-9022-5197386c229c · outbound

This paper cites PIDNet: A Real-time Semantic Segmentation Network Inspired by PID Controllers.

FRAME: Pre-Training Video Feature Representations via Anticipation and Memory PIDNet: A Real-time Semantic Segmentation Network Inspired by PID Controllers

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-07T10:27:00.565630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0f9be20-457d-4a22-923c-6fe834b27fb4 · outbound

This paper cites YouTube-VOS: A Large-Scale Video Object Segmentation Benchmark.

FRAME: Pre-Training Video Feature Representations via Anticipation and Memory YouTube-VOS: A Large-Scale Video Object Segmentation Benchmark

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-07T10:27:00.674386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f065b8b8-0aa2-4922-9686-68ad0db7794d · outbound

This paper cites DVIS++: Improved Decoupled Framework for Universal Video Segmentation.

FRAME: Pre-Training Video Feature Representations via Anticipation and Memory DVIS++: Improved Decoupled Framework for Universal Video Segmentation

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-07T10:27:00.801887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 932e4234-7db9-49b8-819a-e7ead73a5e3c · outbound

This paper cites Adaptive Temporal Encoding Network for Video Instance-level Human Parsing.

FRAME: Pre-Training Video Feature Representations via Anticipation and Memory Adaptive Temporal Encoding Network for Video Instance-level Human Parsing

Reference 59

Resolution: verified exact; local_arxiv, observed 2026-08-07T10:27:01.307432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d678e2af-5d5f-4479-b05a-e88dd39b194c · outbound

This paper cites Masked Autoencoders Are Scalable Vision Learners.

FRAME: Pre-Training Video Feature Representations via Anticipation and Memory Masked Autoencoders Are Scalable Vision Learners

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-07T10:26:57.705213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers