mlsanityData to 7 Oct 2026

Deep Spatio-Temporal Random Fields for Efficient Video Segmentation

arXiv 1807.03148 ↗First posted 3 Jul 2018cs.CV cs.LG stat.MLcited by 15

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Abstract (arXiv)

In this work we introduce a time- and memory-efficient method for structured prediction that couples neuron decisions across both space at time. We show that we are able to perform exact and efficient inference on a densely connected spatio-temporal graph by capitalizing on recent advances on deep Gaussian Conditional Random Fields (GCRFs). Our method, called VideoGCRF is (a) efficient, (b) has a unique global minimum, and (c) can be trained end-to-end alongside contemporary deep networks for video understanding. We experiment with multiple connectivity patterns in the temporal domain, and present empirical improvements over strong baselines on the tasks of both semantic and instance segmentation of videos.

Key facts. Cited by 15 papers in the map (data through 7 Oct 2026). First posted on arXiv 3 Jul 2018.

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Citing papers per year: 2021: 5; 2022: 5; 2023: 0; 2024: 3; 2025: 2.

15 papers.

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  1. 2021A Survey on Deep Learning Technique for Video Segmentationcited by 132
  2. 2021Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenescited by 89
  3. 2022Generative Adversarial Network for Future Hand Segmentation from Egocentric Videocited by 16
  4. 2021Rethinking Dilated Convolution for Real-time Semantic Segmentationcited by 11
  5. 2022RankSeg: Adaptive Pixel Classification with Image Category Ranking for Segmentationcited by 11
  6. 2021Global Aggregation then Local Distribution for Scene Parsingcited by 8
  7. 2024SERNet-Former: Semantic Segmentation by Efficient Residual Network with Attention-Boosting Gates and Attention-Fusion Networkscited by 7
  8. 2022Domain Adaptive Video Semantic Segmentation via Cross-Domain Moving Object Mixingcited by 3
  9. 2025A Comprehensive Survey on Video Scene Parsing:Advances, Challenges, and Prospectscited by 2
  10. 2022Efficient Video Segmentation Models with Per-frame Inferencecited by 1
  11. 2021Dynamic Dual Sampling Module for Fine-Grained Semantic Segmentationcited by 0
  12. 2022Deep Learning Model with GA based Feature Selection and Context Integrationcited by 0
3 more
  1. 2024Motion-Corrected Moving Average: Including Post-Hoc Temporal Information for Improved Video Segmentationcited by 0
  2. 2024Breaking The Ice: Video Segmentation for Close-Range Ice-Covered Waterscited by 0
  3. 2025Generalized Event Partonomy Inference with Structured Hierarchical Predictive Learningcited by 0