Matches in SemOpenAlex for { <https://semopenalex.org/work/W2991640643> ?p ?o ?g. }
- W2991640643 abstract "We propose the Parallel Residual Bi-Fusion Feature Pyramid Network (PRB-FPN) for fast and accurate single-shot object detection. Feature Pyramid (FP) is widely used in recent visual detection, however the top-down pathway of FP cannot preserve accurate localization due to pooling shifting. The advantage of FP is weaken as deeper backbones with more layers are used. To address this issue, we propose a new parallel FP structure with bi-directional (top-down and bottom-up) fusion and associated improvements to retain high-quality features for accurate localization. Our method is particularly suitable for detecting small objects. We provide the following design improvements: (1) A parallel bifusion FP structure with a Bottom-up Fusion Module (BFM) to detect both small and large objects at once with high accuracy. (2) A COncatenation and RE-organization (CORE) module provides a bottom-up pathway for feature fusion, which leads to the bi-directional fusion FP that can recover lost information from lower-layer feature maps. (3) The CORE feature is further purified to retain richer contextual information. Such purification is performed with CORE in a few iterations in both top-down and bottom-up pathways. (4) The adding of a residual design to CORE leads to a new Re-CORE module that enables easy training and integration with a wide range of (deeper or lighter) backbones. The proposed network achieves state-of-the-art performance on UAVDT17 and MS COCO datasets." @default.
- W2991640643 created "2019-12-05" @default.
- W2991640643 creator A5012638803 @default.
- W2991640643 creator A5053058538 @default.
- W2991640643 creator A5063759157 @default.
- W2991640643 creator A5068327587 @default.
- W2991640643 date "2019-11-27" @default.
- W2991640643 modified "2023-09-27" @default.
- W2991640643 title "Parallel Residual Bi-Fusion Feature Pyramid Network for Accurate Single-Shot Object Detection" @default.
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