mlsanityData to 14 Oct 2026

1st Place Solution to the EPIC-Kitchens Action Anticipation Challenge 2022

arXiv 2207.05730 ↗First posted 10 Jul 2022cs.CVcited by 1

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Abstract (arXiv)

In this report, we describe the technical details of our submission to the EPIC-Kitchens Action Anticipation Challenge 2022. In this competition, we develop the following two approaches. 1) Anticipation Time Knowledge Distillation using the soft labels learned by the teacher model as knowledge to guide the student network to learn the information of anticipation time; 2) Verb-Noun Relation Module for building the relationship between verbs and nouns. Our method achieves state-of-the-art results on the testing set of EPIC-Kitchens Action Anticipation Challenge 2022.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 10 of its 12 references that are in the map. First posted on arXiv 10 Jul 2022.

Builds on

10 of 12 references.

References · 10

  1. 2015Rethinking the Inception Architecture for Computer Visioncited by 5,475
  2. 2018SlowFast Networks for Video Recognitioncited by 1,867
  3. 2016Temporal Segment Networks: Towards Good Practices for Deep Action Recognitioncited by 902
  4. 2018Scaling Egocentric Vision: The EPIC-KITCHENS Datasetcited by 795
  5. 2020Rescaling Egocentric Visioncited by 540
  6. 2021Keeping Your Eye on the Ball: Trajectory Attention in Video Transformerscited by 224
  7. 2021Anticipative Video Transformercited by 200
  8. 2019What Would You Expect? Anticipating Egocentric Actions with Rolling-Unrolling LSTMs and Modality Attentioncited by 105
  9. 2021Learning to Anticipate Egocentric Actions by Imaginationcited by 40
  10. 2020Symbiotic Attention with Privileged Information for Egocentric Action Recognitioncited by 27

Built on by

Cited by year

Citing papers per year: 2023: 1.

1 paper.

  1. 2023LEAP: LLM-Generation of Egocentric Action Programscited by 5

Similar, not cited

Close in wording, no citation either way

  1. 2022Cross-modal Contrastive Distillation for Instructional Activity Anticipation
  2. 2023AntGPT: Can Large Language Models Help Long-term Action Anticipation from Videos?
  3. 2025Multi-level and Multi-modal Action Anticipation
  4. 2024Pre-training Distillation for Large Language Models: A Design Space Exploration
  5. 2024CaT-BENCH: Benchmarking Language Model Understanding of Causal and Temporal Dependencies in Plans
  6. 2026Progress-Aware Distillation for Mitigating Stagnation in Small Language Model Agents
  7. 2024Temporal Context Consistency Above All: Enhancing Long-Term Anticipation by Learning and Enforcing Temporal Constraints
  8. 2026The Bridge-Garden Dilemma in LLM Distillation: Why Mixing Hard and Soft Labels Works