mlsanityData to 14 Oct 2026

ZJU ReLER Submission for EPIC-KITCHEN Challenge 2023: Semi-Supervised Video Object Segmentation

arXiv 2307.02010 ↗First posted 5 Jul 2023cs.CVcited by 0

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Abstract (arXiv)

The Associating Objects with Transformers (AOT) framework has exhibited exceptional performance in a wide range of complex scenarios for video object segmentation. In this study, we introduce MSDeAOT, a variant of the AOT series that incorporates transformers at multiple feature scales. Leveraging the hierarchical Gated Propagation Module (GPM), MSDeAOT efficiently propagates object masks from previous frames to the current frame using a feature scale with a stride of 16. Additionally, we employ GPM in a more refined feature scale with a stride of 8, leading to improved accuracy in detecting and tracking small objects. Through the implementation of test-time augmentations and model ensemble techniques, we achieve the top-ranking position in the EPIC-KITCHEN VISOR Semi-supervised Video Object Segmentation Challenge.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 18 of its 23 references that are in the map. First posted on arXiv 5 Jul 2023.

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18 of 23 references.

References · 18

  1. 2015Deep Residual Learning for Image Recognitioncited by 52,096
  2. 2014Microsoft COCO: Common Objects in Contextcited by 17,608
  3. 2021Swin Transformer: Hierarchical Vision Transformer using Shifted Windowscited by 12,139
  4. 2017The 2017 DAVIS Challenge on Video Object Segmentationcited by 957
  5. 2020Rescaling Egocentric Visioncited by 540
  6. 2018YouTube-VOS: A Large-Scale Video Object Segmentation Benchmarkcited by 383
  7. 2021Associating Objects with Transformers for Video Object Segmentationcited by 226
  8. 2023Segment and Track Anythingcited by 193
  9. 2019FEELVOS: Fast End-to-End Embedding Learning for Video Object Segmentationcited by 178
  10. 2022Decoupling Features in Hierarchical Propagation for Video Object Segmentationcited by 148
  11. 2020Collaborative Video Object Segmentation by Foreground-Background Integrationcited by 142
  12. 2022EPIC-KITCHENS VISOR Benchmark: VIdeo Segmentations and Object Relationscited by 140
6 more
  1. 2021A Survey on Deep Learning Technique for Video Segmentationcited by 132
  2. 2020Collaborative Video Object Segmentation by Multi-Scale Foreground-Background Integrationcited by 81
  3. 2022Breaking the "Object" in Video Object Segmentationcited by 49
  4. 2017Pixel-Level Matching for Video Object Segmentation using Convolutional Neural Networkscited by 32
  5. 2022Locality-Aware Inter-and Intra-Video Reconstruction for Self-Supervised Correspondence Learningcited by 26
  6. 2023Unified Mask Embedding and Correspondence Learning for Self-Supervised Video Segmentationcited by 16

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