mlsanityData to 13 Oct 2026

M^2C-EvDet: Multi-Domain Multi-Order Cross-Modal Knowledge Distillation for Event-based Object Detection

arXiv 2606.24248 ↗First posted 23 Jun 2026cs.CVcited by 0

On the map: Knowledge distillation → Detection and dense prediction distillation

Abstract (arXiv)

Event-based object Detection (EvDet), as a biologically inspired visual perception paradigm, demonstrates superior performance in scenarios demanding high temporal resolution and a wide dynamic range. Nevertheless, the inherent sparse representations and inadequate visual semantics of event data result in a considerable performance disparity between EvDet and frame-based object detection. Previous works attempt to alleviate this cross-modal discrepancy through knowledge distillation, yet they only focus on spatial visual semantics or pair-wise relational information, thus limiting performance in more complex scenarios. To address this challenge, this paper proposes M^2C-EvDet, a Multi-domain and Multi-order Cross-modal knowledge distillation framework for EvDet. Built upon frequency learning and hypergraph computation, M^2C-EvDet integrates two specialized modules: Adaptive Frequency-Decoupled Feature Distillation (AF^2D^2) and Multi-Order Relational Distillation (MORD).

Key facts. No citing papers in the map yet (data through 13 Oct 2026). Placed in Detection and dense prediction distillation, one of 12 directions in Knowledge distillation. Builds on 37 of its 56 references that are in the map. First posted on arXiv 23 Jun 2026.

Builds on

37 of 56 references.

Closest ancestors · 6

Same direction, newest first

  1. 2025CLoCKDistill: Consistent Location-and-Context-aware Knowledge Distillation for DETRs15 Feb
  2. 2024D-FINE: Redefine Regression Task in DETRs as Fine-grained Distribution Refinement17 Oct
  3. 2023Object-centric Cross-modal Feature Distillation for Event-based Object Detection9 Nov
  4. 2022DETRDistill: A Universal Knowledge Distillation Framework for DETR-families17 Nov
  5. 2022D3ETR: Decoder Distillation for Detection Transformer17 Nov
  6. 2021Focal and Global Knowledge Distillation for Detectors23 Nov

Other references · 31

  1. 2017Attention Is All You Needcited by 60,106
  2. 2014Microsoft COCO: Common Objects in Contextcited by 17,550
  3. 2016Feature Pyramid Networks for Object Detectioncited by 5,027
  4. 2021Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutionscited by 1,961
  5. 2019Event-based Vision: A Surveycited by 1,013
  6. 2018Path Aggregation Network for Instance Segmentationcited by 798
  7. 2020Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detectioncited by 408
  8. 2022Recurrent Vision Transformers for Object Detection with Event Camerascited by 159
  9. 2022AEGNN: Asynchronous Event-based Graph Neural Networkscited by 118
  10. 2022Masked Generative Distillationcited by 107
  11. 2024State Space Models for Event Camerascited by 75
  12. 2020Wavelet Integrated CNNs for Noise-Robust Image Classificationcited by 60
19 more
  1. 2025YOLOv13: Real-Time Object Detection with Hypergraph-Enhanced Adaptive Visual Perceptioncited by 57
  2. 2024Frequency-aware Feature Fusion for Dense Image Predictioncited by 48
  3. 2023SODFormer: Streaming Object Detection with Transformer Using Events and Framescited by 39
  4. 2024Hyper-YOLO: When Visual Object Detection Meets Hypergraph Computationcited by 29
  5. 2023FreeKD: Knowledge Distillation via Semantic Frequency Promptcited by 27
  6. 2022Motion Robust High-Speed Light-Weighted Object Detection With Event Cameracited by 23
  7. 2024Frequency Attention for Knowledge Distillationcited by 22
  8. 2023From Global to Local: Multi-scale Out-of-distribution Detectioncited by 18
  9. 2025Reliable Few-shot Learning under Dual Noisescited by 16
  10. 2025Depth AnyEvent: A Cross-Modal Distillation Paradigm for Event-Based Monocular Depth Estimationcited by 15
  11. 2022KD-DETR: Knowledge Distillation for Detection Transformer with Consistent Distillation Points Samplingcited by 13
  12. 2024FlexEvent: Towards Flexible Event-Frame Object Detection at Varying Operational Frequenciescited by 10
  13. 2023From Channel Bias to Feature Redundancy: Uncovering the "Less is More" Principle in Few-Shot Learningcited by 9
  14. 2024EvRT-DETR: Latent Space Adaptation of Image Detectors for Event-based Visioncited by 9
  15. 2025A Hierarchical Semantic Distillation Framework for Open-Vocabulary Object Detectioncited by 9
  16. 2024Frequency-Adaptive Low-Latency Object Detection Using Events and Framescited by 7
  17. 2025A Closer Look at Conditional Prompt Tuning for Vision-Language Modelscited by 7
  18. 2025SuperEvent: Cross-Modal Learning of Event-based Keypoint Detection for SLAMcited by 6
  19. 2025WD-DETR: Wavelet Denoising-Enhanced Real-Time Object Detection Transformer for Robot Perception with Event Camerascited by 1

Built on by

Not cited yet.