Semi-Supervised State-Space Model with Dynamic Stacking Filter for Real-World Video Deraining | Paper Citation Record

Observation 0db393a4-49be-4ab8-be72-f4cf48dae5c3 · outbound

This paper cites A review on deep convolu- tional neural networks.

Semi-Supervised State-Space Model with Dynamic Stacking Filter for Real-World Video Deraining A review on deep convolu- tional neural networks

Reference 1

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Observation 4d4502c6-2b87-4ea5-a7df-1c57b4a17232 · outbound

This paper cites Spatio-temporal frequency analysis for removing rain and snow from videos.

Semi-Supervised State-Space Model with Dynamic Stacking Filter for Real-World Video Deraining Spatio-temporal frequency analysis for removing rain and snow from videos

Reference 2

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Observation 520970f5-12fd-4f23-a612-b1dac2d8e941 · outbound

This paper cites Analysis of rain and snow in frequency space.IJCV, 2010.

Semi-Supervised State-Space Model with Dynamic Stacking Filter for Real-World Video Deraining Analysis of rain and snow in frequency space.IJCV, 2010

Reference 3

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Observation 120aec76-5990-4a5b-94be-cad7e0417396 · outbound

This paper cites Evaluating multiple object tracking performance: the clear mot metrics.

Semi-Supervised State-Space Model with Dynamic Stacking Filter for Real-World Video Deraining Evaluating multiple object tracking performance: the clear mot metrics

Reference 4

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Observation 4bdb7b71-a61e-4458-8f9c-650eb6737e8f · outbound

This paper cites Bossu, N.

Semi-Supervised State-Space Model with Dynamic Stacking Filter for Real-World Video Deraining Bossu, N

Reference 5

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Observation e0103f2b-ebe2-49da-bcae-1232ba00e9d2 · outbound

This paper cites Vi- sual depth guided color image rain streaks removal using sparse coding.

Semi-Supervised State-Space Model with Dynamic Stacking Filter for Real-World Video Deraining Vi- sual depth guided color image rain streaks removal using sparse coding

Reference 6

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Observation ad7b975e-9cab-409c-a048-9085a851c1e9 · outbound

This paper cites Robust video content alignment and compensation for rain removal in a cnn framework.

Semi-Supervised State-Space Model with Dynamic Stacking Filter for Real-World Video Deraining Robust video content alignment and compensation for rain removal in a cnn framework

Reference 7

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Observation 07926d27-19ac-4dd6-8ab1-3044207e4083 · outbound

This paper cites Learn- ing a sparse transformer network for effective image derain- ing.

Semi-Supervised State-Space Model with Dynamic Stacking Filter for Real-World Video Deraining Learn- ing a sparse transformer network for effective image derain- ing

Reference 8

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Observation cf1fbdab-64dd-44fd-9cb1-34ac29ec7359 · outbound

This paper cites Mem- ory enhanced global-local aggregation for video object de- tection.

Semi-Supervised State-Space Model with Dynamic Stacking Filter for Real-World Video Deraining Mem- ory enhanced global-local aggregation for video object de- tection

Reference 9

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Observation c6be6299-de31-431a-ad66-8a9cab903096 · outbound

This paper cites A generalized low- rank appearance model for spatio-temporally correlated rain streaks.

Semi-Supervised State-Space Model with Dynamic Stacking Filter for Real-World Video Deraining A generalized low- rank appearance model for spatio-temporally correlated rain streaks

Reference 10

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Observation 8dff601e-f282-4f34-831f-c098e5c8c248 · outbound

This paper cites Sigmoid- weighted linear units for neural network function approxi- mation in reinforcement learning.

Semi-Supervised State-Space Model with Dynamic Stacking Filter for Real-World Video Deraining Sigmoid- weighted linear units for neural network function approxi- mation in reinforcement learning

Reference 11

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Observation 69201efd-23ca-4775-b6ab-89756e0a93bb · outbound

This paper cites Clearing the skies: A deep network ar- chitecture for single-image rain removal.

Semi-Supervised State-Space Model with Dynamic Stacking Filter for Real-World Video Deraining Clearing the skies: A deep network ar- chitecture for single-image rain removal

Reference 12

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Observation 3ad6c9ff-6d9d-4446-ba72-6f79730efd14 · outbound

This paper cites Removing rain from single images via a deep detail network.

Semi-Supervised State-Space Model with Dynamic Stacking Filter for Real-World Video Deraining Removing rain from single images via a deep detail network

Reference 13

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This paper cites Garg and S.

Semi-Supervised State-Space Model with Dynamic Stacking Filter for Real-World Video Deraining Garg and S

Reference 14

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Semi-Supervised State-Space Model with Dynamic Stacking Filter for Real-World Video Deraining Unresolved cited work

Reference 15

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This paper cites an unresolved cited work.

Semi-Supervised State-Space Model with Dynamic Stacking Filter for Real-World Video Deraining Unresolved cited work

Reference 16

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Observation 1f42e2b6-e0cf-44f4-a1eb-be9ba8db063a · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

Semi-Supervised State-Space Model with Dynamic Stacking Filter for Real-World Video Deraining Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 17

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Observation d2b52b06-38e7-4b98-8107-615029cff0e2 · outbound

This paper cites Efficiently Modeling Long Sequences with Structured State Spaces.

Semi-Supervised State-Space Model with Dynamic Stacking Filter for Real-World Video Deraining Efficiently Modeling Long Sequences with Structured State Spaces

Reference 18

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Observation 78fd3ad6-345d-4fe4-8d95-ae1f329025b1 · outbound

This paper cites MambaIR: A Simple Baseline for Image Restoration with State-Space Model.

Semi-Supervised State-Space Model with Dynamic Stacking Filter for Real-World Video Deraining MambaIR: A Simple Baseline for Image Restoration with State-Space Model

Reference 19

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Observation 8706f8a4-9c39-4ad5-bb6d-5f78abf01356 · outbound

This paper cites Vehicle detection and tracking in ad- verse weather using a deep learning framework.

Semi-Supervised State-Space Model with Dynamic Stacking Filter for Real-World Video Deraining Vehicle detection and tracking in ad- verse weather using a deep learning framework

Reference 20

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Observation 9ee4140d-de63-427a-a494-05852066b177 · outbound

This paper cites MambaVision: A Hybrid Mamba-Transformer Vision Backbone.

Semi-Supervised State-Space Model with Dynamic Stacking Filter for Real-World Video Deraining MambaVision: A Hybrid Mamba-Transformer Vision Backbone

Reference 21

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Observation db93430d-dac1-441f-abff-f6a908d03e33 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Semi-Supervised State-Space Model with Dynamic Stacking Filter for Real-World Video Deraining Distilling the Knowledge in a Neural Network

Reference 22

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Observation d01a372a-923b-4a5c-89a3-fca94dd5aa88 · outbound

This paper cites Object detection under rainy conditions for autonomous vehicles: A review of state- of-the-art and emerging techniques.

Semi-Supervised State-Space Model with Dynamic Stacking Filter for Real-World Video Deraining Object detection under rainy conditions for autonomous vehicles: A review of state- of-the-art and emerging techniques

Reference 23

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Observation caf5230c-ef59-4a56-8033-410d3d7f5fb7 · outbound

This paper cites Liteflownet3: Resolv- ing correspondence ambiguity for more accurate optical flow estimation.

Semi-Supervised State-Space Model with Dynamic Stacking Filter for Real-World Video Deraining Liteflownet3: Resolv- ing correspondence ambiguity for more accurate optical flow estimation

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:00:39.052631Z

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Observation 9eb45c35-6374-491e-a062-c6b7bf2367f9 · outbound

This paper cites Multi-scale progressive fusion network for single image deraining.

Semi-Supervised State-Space Model with Dynamic Stacking Filter for Real-World Video Deraining Multi-scale progressive fusion network for single image deraining

Reference 25

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Observation e21782c2-b492-4ec2-93b4-d91b755c6495 · outbound

This paper cites Dawn: Direction-aware attention wavelet network for image deraining.

Semi-Supervised State-Space Model with Dynamic Stacking Filter for Real-World Video Deraining Dawn: Direction-aware attention wavelet network for image deraining

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:00:38.457498Z

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Observation 78dca001-96fa-4722-acfe-0c960619ad1b · outbound

This paper cites A novel tensor-based video rain streaks removal approach via utilizing discriminatively in- trinsic priors.

Semi-Supervised State-Space Model with Dynamic Stacking Filter for Real-World Video Deraining A novel tensor-based video rain streaks removal approach via utilizing discriminatively in- trinsic priors

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:00:38.176936Z

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Observation 52eb363e-fc82-4cf8-9fc8-28bd571a6fe6 · outbound

This paper cites Fastderain: A novel video rain streak removal method using directional gradient priors.

Semi-Supervised State-Space Model with Dynamic Stacking Filter for Real-World Video Deraining Fastderain: A novel video rain streak removal method using directional gradient priors

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:00:37.945067Z

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Observation 9af26c53-b810-43d0-a52d-80e8e117fe3a · outbound

This paper cites Automatic single-image-based rain streaks removal via image decom- position.

Semi-Supervised State-Space Model with Dynamic Stacking Filter for Real-World Video Deraining Automatic single-image-based rain streaks removal via image decom- position

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:00:37.702872Z

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Observation a2386aca-17d4-4ad9-859e-d719ce6ab1fb · outbound

This paper cites Single-image deraining using an adaptive nonlocal means filter.

Semi-Supervised State-Space Model with Dynamic Stacking Filter for Real-World Video Deraining Single-image deraining using an adaptive nonlocal means filter

Reference 30

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Observation d627d060-79a6-4535-8cc7-64037e794299 · outbound

This paper cites Video deraining and desnowing using temporal correlation and low-rank matrix completion.

Semi-Supervised State-Space Model with Dynamic Stacking Filter for Real-World Video Deraining Video deraining and desnowing using temporal correlation and low-rank matrix completion

Reference 31

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Observation 062c6c03-2930-4627-9b71-5d2d3adee8cd · outbound

This paper cites Adam: A method for stochastic optimization.

Semi-Supervised State-Space Model with Dynamic Stacking Filter for Real-World Video Deraining Adam: A method for stochastic optimization

Reference 32

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Observation 95272366-0841-47ee-896a-1456d67fc0aa · outbound

This paper cites FourierMamba: Fourier Learning Integration with State Space Models for Image Deraining.

Semi-Supervised State-Space Model with Dynamic Stacking Filter for Real-World Video Deraining FourierMamba: Fourier Learning Integration with State Space Models for Image Deraining

Reference 33

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Observation d8bfed1f-3eff-46c7-86ec-8191aaffb2f0 · outbound

This paper cites Video rain streak removal by multi- scale convolutional sparse coding.

Semi-Supervised State-Space Model with Dynamic Stacking Filter for Real-World Video Deraining Video rain streak removal by multi- scale convolutional sparse coding

Reference 34

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Observation 394963b4-7818-47c2-a002-13f99ef49ee9 · outbound

This paper cites Jamba: A Hybrid Transformer-Mamba Language Model.

Semi-Supervised State-Space Model with Dynamic Stacking Filter for Real-World Video Deraining Jamba: A Hybrid Transformer-Mamba Language Model

Reference 35

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Observation d5cebca9-3b16-4795-98b2-8ff6f3f7a485 · outbound

This paper cites Erase or fill? deep joint recurrent rain removal and recon- struction in videos.

Semi-Supervised State-Space Model with Dynamic Stacking Filter for Real-World Video Deraining Erase or fill? deep joint recurrent rain removal and recon- struction in videos

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:00:36.523212Z

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Observation cb4e83cf-9008-4edd-9a4e-0c17556d204a · outbound

This paper cites D3r-net: Dynamic routing residue recurrent network for video rain removal.

Semi-Supervised State-Space Model with Dynamic Stacking Filter for Real-World Video Deraining D3r-net: Dynamic routing residue recurrent network for video rain removal

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:00:36.245869Z

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Observation f8246218-40e5-45d5-abd7-55a233786871 · outbound

This paper cites Removing rain from a single image via discriminative sparse coding.

Semi-Supervised State-Space Model with Dynamic Stacking Filter for Real-World Video Deraining Removing rain from a single image via discriminative sparse coding

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:00:35.963877Z

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Observation ec838f5b-af5d-429c-bd69-2b1c255918f5 · outbound

This paper cites YOLOv3: An Incremental Improvement.

Semi-Supervised State-Space Model with Dynamic Stacking Filter for Real-World Video Deraining YOLOv3: An Incremental Improvement

Reference 39

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Observation d37c4519-95fc-44d7-8175-4c6e14f39503 · outbound

This paper cites Video desnowing and deraining based on matrix decomposition.

Semi-Supervised State-Space Model with Dynamic Stacking Filter for Real-World Video Deraining Video desnowing and deraining based on matrix decomposition

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:00:35.837829Z

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Observation d7ff46d7-ab0f-44e1-8ad8-f11c199909ec · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation.

Semi-Supervised State-Space Model with Dynamic Stacking Filter for Real-World Video Deraining U-net: Convolutional networks for biomedical image segmentation

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:00:35.659513Z

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Observation 1a3ad631-5437-414a-9814-9f4fd885e03f · outbound

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Semi-Supervised State-Space Model with Dynamic Stacking Filter for Real-World Video Deraining Unresolved cited work

Reference 42

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Observation 4fb6fd73-6ade-45f0-8e36-185cfc199843 · outbound

This paper cites Prior-based domain adaptive object detec- tion for hazy and rainy conditions.

Semi-Supervised State-Space Model with Dynamic Stacking Filter for Real-World Video Deraining Prior-based domain adaptive object detec- tion for hazy and rainy conditions

Reference 43

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Observation 36c482a3-419c-4763-ab09-9c8a41c3f3c2 · outbound

This paper cites Simplified State Space Layers for Sequence Modeling.

Semi-Supervised State-Space Model with Dynamic Stacking Filter for Real-World Video Deraining Simplified State Space Layers for Sequence Modeling

Reference 44

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Observation c71df4ea-e59d-4003-9bb1-b4f2260d2e32 · outbound

This paper cites Rethinking image restoration for object detection.

Semi-Supervised State-Space Model with Dynamic Stacking Filter for Real-World Video Deraining Rethinking image restoration for object detection

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:00:35.199126Z

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Observation 989ab83e-bb83-4b7f-9139-e3f7bcceb4dd · outbound

This paper cites Event-aware video derain- ing via multi-patch progressive learning.

Semi-Supervised State-Space Model with Dynamic Stacking Filter for Real-World Video Deraining Event-aware video derain- ing via multi-patch progressive learning

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:00:34.992788Z

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Observation cf79a607-d2e3-4cf4-b480-8d44357fbd30 · outbound

This paper cites Restoring images in adverse weather condi- tions via histogram transformer.

Semi-Supervised State-Space Model with Dynamic Stacking Filter for Real-World Video Deraining Restoring images in adverse weather condi- tions via histogram transformer

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:00:34.857733Z

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Observation 3a51a737-a9cf-4082-88ba-83c48f304f45 · outbound

This paper cites Logit standardization in knowledge distillation.

Semi-Supervised State-Space Model with Dynamic Stacking Filter for Real-World Video Deraining Logit standardization in knowledge distillation

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:00:34.672125Z

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Observation bfca7ca8-a86b-42aa-939a-ccf879acdb83 · outbound

This paper cites A Hybrid Transformer-Mamba Network for Single Image Deraining.

Semi-Supervised State-Space Model with Dynamic Stacking Filter for Real-World Video Deraining A Hybrid Transformer-Mamba Network for Single Image Deraining

Reference 49

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Source-reported events for the cited work

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Observation 92b2cfab-eed4-4feb-994f-7b43445656f1 · outbound

This paper cites Perceptual adversarial networks for image-to-image transformation.

Semi-Supervised State-Space Model with Dynamic Stacking Filter for Real-World Video Deraining Perceptual adversarial networks for image-to-image transformation

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:00:34.464697Z

Source-reported events for the cited work

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Observation 819a7cf9-eeb3-40e7-8d8d-497106b7f80b · outbound

This paper cites A model- driven deep neural network for single image rain removal.

Semi-Supervised State-Space Model with Dynamic Stacking Filter for Real-World Video Deraining A model- driven deep neural network for single image rain removal

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:00:34.250136Z

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 2538ca21-8bc6-4ca4-928b-ea237478e5fa · outbound

This paper cites Should we encode rain streaks in video as de- terministic or stochastic? In ICCV, 2017.

Semi-Supervised State-Space Model with Dynamic Stacking Filter for Real-World Video Deraining Should we encode rain streaks in video as de- terministic or stochastic? In ICCV, 2017

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:00:33.993066Z

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 7e6d7339-828a-47b7-a011-ad7e56f543ed · outbound

This paper cites Semi-supervised transfer learning for image rain re- moval.

Semi-Supervised State-Space Model with Dynamic Stacking Filter for Real-World Video Deraining Semi-supervised transfer learning for image rain re- moval

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:00:33.731144Z

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 8e99a01a-7f0b-4611-b9f2-720ce6c2f655 · outbound

This paper cites Rainmamba: Enhanced locality learning with state space models for video deraining.

Semi-Supervised State-Space Model with Dynamic Stacking Filter for Real-World Video Deraining Rainmamba: Enhanced locality learning with state space models for video deraining

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:00:33.493509Z

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 e1ae792d-6a6d-472a-804e-d7a99797c47d · outbound

This paper cites Fusionmamba: Dynamic feature enhancement for mul- timodal image fusion with mamba.

Semi-Supervised State-Space Model with Dynamic Stacking Filter for Real-World Video Deraining Fusionmamba: Dynamic feature enhancement for mul- timodal image fusion with mamba

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:00:33.255075Z

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 31521dfb-8b7c-4d74-9fa4-282fe4accfdc · outbound

This paper cites Image Deraining with Frequency-Enhanced State Space Model.

Semi-Supervised State-Space Model with Dynamic Stacking Filter for Real-World Video Deraining Image Deraining with Frequency-Enhanced State Space Model

Reference 56

Resolution: verified exact; local_arxiv, observed 2026-08-07T15:00:29.400571Z

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 be7f3c7a-a157-4558-ae10-c167fbaeba7f · outbound

This paper cites Tan, Wenhan Yang, and Dengxin Dai.

Semi-Supervised State-Space Model with Dynamic Stacking Filter for Real-World Video Deraining Tan, Wenhan Yang, and Dengxin Dai

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:00:33.063634Z

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 fa080a2b-9d5f-4339-8fb3-df74ee71548b · outbound

This paper cites Frame- consistent recurrent video deraining with dual-level flow.

Semi-Supervised State-Space Model with Dynamic Stacking Filter for Real-World Video Deraining Frame- consistent recurrent video deraining with dual-level flow

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:00:32.818477Z

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 835e4a9d-6081-4ae3-adb8-a043bea118eb · outbound

This paper cites Tan, Jiashi Feng, Zongming Guo, Shuicheng Yan, and Jiaying Liu.

Semi-Supervised State-Space Model with Dynamic Stacking Filter for Real-World Video Deraining Tan, Jiashi Feng, Zongming Guo, Shuicheng Yan, and Jiaying Liu

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:00:32.580674Z

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 52037d31-85c5-4de5-a98a-0a16654660e5 · outbound

This paper cites Tan, Shiqi Wang, and Jiaying Liu.

Semi-Supervised State-Space Model with Dynamic Stacking Filter for Real-World Video Deraining Tan, Shiqi Wang, and Jiaying Liu

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:00:32.365380Z

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 50bdb311-a54c-44c4-99bd-682fd47cdf56 · outbound

This paper cites Tan, Jiashi Feng, Shiqi Wang, Bin Cheng, and Jiaying Liu.

Semi-Supervised State-Space Model with Dynamic Stacking Filter for Real-World Video Deraining Tan, Jiashi Feng, Shiqi Wang, Bin Cheng, and Jiaying Liu

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:00:32.157698Z

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 262131a7-6e83-4997-ba62-a402427e10eb · outbound

This paper cites Tan, Shiqi Wang, Alex C.

Semi-Supervised State-Space Model with Dynamic Stacking Filter for Real-World Video Deraining Tan, Shiqi Wang, Alex C

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:00:31.833972Z

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 062c23eb-2610-4c7d-b7da-63244370f8c8 · outbound

This paper cites an unresolved cited work.

Semi-Supervised State-Space Model with Dynamic Stacking Filter for Real-World Video Deraining Unresolved cited work

Reference 63

Resolution: unresolved; raw_fallback, observed 2026-08-07T15:00:31.526389Z

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 7c1741bd-c998-4ea8-822d-e7188cd251d2 · outbound

This paper cites Tan, Rei Kawakami, Yasuhiro Mukaigawa, and Katsushi Ikeuchi.

Semi-Supervised State-Space Model with Dynamic Stacking Filter for Real-World Video Deraining Tan, Rei Kawakami, Yasuhiro Mukaigawa, and Katsushi Ikeuchi

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:00:31.273535Z

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 f40fd105-aebe-4dc3-8ca8-9da666e14f36 · outbound

This paper cites MambaOut: Do We Really Need Mamba for Vision?.

Semi-Supervised State-Space Model with Dynamic Stacking Filter for Real-World Video Deraining MambaOut: Do We Really Need Mamba for Vision?

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-07T15:00:28.184655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe77820f-3746-40b9-8a21-fccd277ab4bd · outbound

This paper cites Semi-supervised video deraining with dynamical rain gener- ator.

Semi-Supervised State-Space Model with Dynamic Stacking Filter for Real-World Video Deraining Semi-supervised video deraining with dynamical rain gener- ator

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:00:31.030121Z

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 ce41af7a-d89a-4382-ad1b-521dee9294a9 · outbound

This paper cites Restormer: Efficient transformer for high-resolution image restoration.

Semi-Supervised State-Space Model with Dynamic Stacking Filter for Real-World Video Deraining Restormer: Efficient transformer for high-resolution image restoration

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:00:30.806727Z

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 0e7685d2-cbb3-4356-89e3-d4d03de0361e · outbound

This paper cites an unresolved cited work.

Semi-Supervised State-Space Model with Dynamic Stacking Filter for Real-World Video Deraining Unresolved cited work

Reference 68

Resolution: unresolved; raw_fallback, observed 2026-08-07T15:00:30.553268Z

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 b1e3f9a5-e8e9-4d46-8c9d-dbf78da20209 · outbound

This paper cites Enhanced spatio-temporal interaction learning for video deraining: A faster and better framework.

Semi-Supervised State-Space Model with Dynamic Stacking Filter for Real-World Video Deraining Enhanced spatio-temporal interaction learning for video deraining: A faster and better framework

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:00:30.398003Z

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 800c8410-feb4-410a-9062-0b2a9b82b5da · outbound

This paper cites Rain removal in video by combining tempo- ral and chromatic properties.

Semi-Supervised State-Space Model with Dynamic Stacking Filter for Real-World Video Deraining Rain removal in video by combining tempo- ral and chromatic properties

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:00:30.269527Z

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 83944b99-3745-4653-88f3-03477bc6548a · outbound

This paper cites FreqMamba: Viewing Mamba from a Frequency Perspective for Image Deraining.

Semi-Supervised State-Space Model with Dynamic Stacking Filter for Real-World Video Deraining FreqMamba: Viewing Mamba from a Frequency Perspective for Image Deraining

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-07T15:00:28.911619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47b9a9a3-2d2f-4550-9f01-4575fbc7c4f5 · outbound

This paper cites Global tracking transformers.

Semi-Supervised State-Space Model with Dynamic Stacking Filter for Real-World Video Deraining Global tracking transformers

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:00:30.050641Z

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 fde88273-f713-473f-8f86-04471a3835ae · outbound

This paper cites Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model.

Semi-Supervised State-Space Model with Dynamic Stacking Filter for Real-World Video Deraining Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-07T15:00:29.071471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79410f34-c86f-4b9e-9171-550b7d37adf1 · outbound

This paper cites Freqmamba: Viewing mamba from a frequency perspective for image de- raining.

Semi-Supervised State-Space Model with Dynamic Stacking Filter for Real-World Video Deraining Freqmamba: Viewing mamba from a frequency perspective for image de- raining

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:00:29.763140Z

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.

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Reference resolution

Outbound references

Pith citing papers