mlsanityData to 14 Oct 2026

Guided Interactive Video Object Segmentation Using Reliability-Based Attention Maps

arXiv 2104.10386 ↗First posted 21 Apr 2021cs.CVcited by 21

Not on the map. Why?

Abstract (arXiv)

We propose a novel guided interactive segmentation (GIS) algorithm for video objects to improve the segmentation accuracy and reduce the interaction time. First, we design the reliability-based attention module to analyze the reliability of multiple annotated frames. Second, we develop the intersection-aware propagation module to propagate segmentation results to neighboring frames. Third, we introduce the GIS mechanism for a user to select unsatisfactory frames quickly with less effort. Experimental results demonstrate that the proposed algorithm provides more accurate segmentation results at a faster speed than conventional algorithms. Codes are available at https://github.com/yuk6heo/GIS-RAmap.

Key facts. Cited by 21 papers in the map (data through 14 Oct 2026). Builds on 24 of its 41 references that are in the map. First posted on arXiv 21 Apr 2021.

Builds on

24 of 41 references.

References · 24

  1. 2017Squeeze-and-Excitation Networkscited by 4,789
  2. 2017Non-local Neural Networkscited by 2,293
  3. 2017The 2017 DAVIS Challenge on Video Object Segmentationcited by 957
  4. 2019Video Object Segmentation using Space-Time Memory Networkscited by 438
  5. 2018YouTube-VOS: A Large-Scale Video Object Segmentation Benchmarkcited by 383
  6. 2016One-Shot Video Object Segmentationcited by 235
  7. 2019FEELVOS: Fast End-to-End Embedding Learning for Video Object Segmentationcited by 178
  8. 2020See More, Know More: Unsupervised Video Object Segmentation with Co-Attention Siamese Networkscited by 138
  9. 2017Online Adaptation of Convolutional Neural Networks for Video Object Segmentationcited by 109
  10. 2017Video Object Segmentation Without Temporal Informationcited by 93
  11. 2018VideoMatch: Matching based Video Object Segmentationcited by 90
  12. 2017FusionSeg: Learning to combine motion and appearance for fully automatic segmention of generic objects in videoscited by 77
12 more
  1. 2018Blazingly Fast Video Object Segmentation with Pixel-Wise Metric Learningcited by 74
  2. 2020Motion-Attentive Transition for Zero-Shot Video Object Segmentationcited by 62
  3. 2016Learning Motion Patterns in Videoscited by 53
  4. 2019Anchor Diffusion for Unsupervised Video Object Segmentationcited by 50
  5. 2018CNN in MRF: Video Object Segmentation via Inference in A CNN-Based Higher-Order Spatio-Temporal MRFcited by 48
  6. 2018The 2018 DAVIS Challenge on Video Object Segmentationcited by 47
  7. 2020Memory Aggregation Networks for Efficient Interactive Video Object Segmentationcited by 40
  8. 2020Learning Discriminative Feature with CRF for Unsupervised Video Object Segmentationcited by 36
  9. 2019Fast User-Guided Video Object Segmentation by Interaction-and-Propagation Networkscited by 33
  10. 2020Interactive Video Object Segmentation Using Global and Local Transfer Modulescited by 26
  11. 2017Interactive Video Object Segmentation in the Wildcited by 16
  12. 2019BubbleNets: Learning to Select the Guidance Frame in Video Object Segmentation by Deep Sorting Framescited by 14

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2021: 2; 2022: 3; 2023: 7; 2024: 6; 2025: 2; 2026: 1.

21 papers.

Sort:

  1. 2023MOSE: A New Dataset for Video Object Segmentation in Complex Scenescited by 234
  2. 2021Rethinking Space-Time Networks with Improved Memory Coverage for Efficient Video Object Segmentationcited by 203
  3. 2021A Survey on Deep Learning Technique for Video Segmentationcited by 132
  4. 2023Segment Anything Meets Point Trackingcited by 81
  5. 2025MOSEv2: A More Challenging Dataset for Video Object Segmentation in Complex Scenescited by 62
  6. 2023XMem++: Production-level Video Segmentation From Few Annotated Framescited by 53
  7. 2024LVOS: A Benchmark for Large-scale Long-term Video Object Segmentationcited by 44
  8. 2022Hierarchical Feature Alignment Network for Unsupervised Video Object Segmentationcited by 37
  9. 2023Learning the What and How of Annotation in Video Object Segmentationcited by 19
  10. 2023ScribbleSeg: Scribble-based Interactive Image Segmentationcited by 10
  11. 2023Co-attention Propagation Network for Zero-Shot Video Object Segmentationcited by 9
  12. 2024LiVOS: Light Video Object Segmentation with Gated Linear Matchingcited by 7
9 more
  1. 2022Revisiting Click-based Interactive Video Object Segmentationcited by 5
  2. 2024What is Point Supervision Worth in Video Instance Segmentation?cited by 5
  3. 2024Strike the Balance: On-the-Fly Uncertainty based User Interactions for Long-Term Video Object Segmentationcited by 4
  4. 2022Hybrid Tracker with Pixel and Instance for Video Panoptic Segmentationcited by 3
  5. 2024Training-Free Robust Interactive Video Object Segmentationcited by 2
  6. 2023Sketch-based Video Object Segmentation: Benchmark and Analysiscited by 1
  7. 2024IDPro: Flexible Interactive Video Object Segmentation by ID-queried Concurrent Propagationcited by 1
  8. 2025Click2Graph: Interactive Panoptic Video Scene Graphs from a Single Clickcited by 0
  9. 2026IMPACT-Scribe: Interactive Temporal Action Segmentation with Boundary Scribbles and Query Planningcited by 0