Research map / Detection and segmentation / CNN features
D2FANet: Enhancing Video Object Detection with Dual-Domain Feature Aggregation Network
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Closest papers by meaning
- Feature Aggregated Queries for Transformer-Based Video Object Detectors (CVPR 2023 · similarity 0.88)
- Temporal Context Enhanced Feature Aggregation for Video Object Detection (AAAI 2020 · similarity 0.87)
- YOLOV: Making Still Image Object Detectors Great at Video Object Detection (AAAI 2023 · similarity 0.86)
- Memory Enhanced Global-Local Aggregation for Video Object Detection (CVPR 2020 · similarity 0.86)
- LSTFE-Net:Long Short-Term Feature Enhancement Network for Video Small Object Detection (CVPR 2023 · similarity 0.85)
- DCSF-KD: Dynamic Channel-wise Spatial Feature Knowledge Distillation for Object Detection (AAAI 2025 · similarity 0.84)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.
