Papers › Attention-guided Context Feature Pyramid Network for Object Detection
Attention-guided Context Feature Pyramid Network for Object Detection
Junxu Cao, Qi Chen, Jun Guo, Ruichao Shi
For object detection, how to address the contradictory requirement between feature map resolution and receptive field on high-resolution inputs still remains an open question. In this paper, to tackle this issue, we build a novel architecture, called Attention-guided Context Feature Pyramid Network (AC-FPN), that exploits discriminative information from various large receptive fields via integrating attention-guided multi-path features. The model contains two modules. The first one is Context Extraction Module (CEM) that explores large contextual information from multiple receptive fields. As redundant contextual relations may mislead localization and recognition, we also design the second module named Attention-guided Module (AM), which can adaptively capture the salient dependencies over objects by using the attention mechanism. AM consists of two sub-modules, i.e., Context Attention Module (CxAM) and Content Attention Module (CnAM), which focus on capturing discriminative semantics and locating precise positions, respectively. Most importantly, our AC-FPN can be readily plugged into existing FPN-based models. Extensive experiments on object detection and instance segmentation show that existing models with our proposed CEM and AM significantly surpass their counterparts without them, and our model successfully obtains state-of-the-art results. We have released the source code at https://github.com/Caojunxu/AC-FPN.
Code
Repository list and official/mentioned flags are the archive's, frozen 2025-07-28. Reachability, where shown, is from one Syntology probe window (2026-09-16 to 2026-09-18); repositories not probed show nothing. GitHub stars are not tracked.
Code Syntology ran Syntology
Not run by Syntology. Nothing on this page verifies that the listed code works.
Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Object Detection | COCO test-dev | AC-FPN Cascade R-CNN (X-152-32x8d-FPN-IN5k, multi scale, only CEM) | AP50 | 70.4 | #76 of 225 | Archive leaderboard | report |
| Object Detection | COCO test-dev | AC-FPN Cascade R-CNN (X-152-32x8d-FPN-IN5k, multi scale, only CEM) | AP75 | 57 | #76 of 225 | Archive leaderboard | report |
| Object Detection | COCO test-dev | AC-FPN Cascade R-CNN (X-152-32x8d-FPN-IN5k, multi scale, only CEM) | APL | 64.7 | #76 of 225 | Archive leaderboard | report |
| Object Detection | COCO test-dev | AC-FPN Cascade R-CNN (X-152-32x8d-FPN-IN5k, multi scale, only CEM) | APM | 54.8 | #76 of 225 | Archive leaderboard | report |
| Object Detection | COCO test-dev | AC-FPN Cascade R-CNN (X-152-32x8d-FPN-IN5k, multi scale, only CEM) | APS | 34.2 | #76 of 225 | Archive leaderboard | report |
| Object Detection | COCO test-dev | AC-FPN Cascade R-CNN (X-152-32x8d-FPN-IN5k, multi scale, only CEM) | box mAP | 51.9 | #76 of 225 | Archive leaderboard | report |
| Object Detection | COCO test-dev | AC-FPN Cascade R-CNN(ResNet-101, single scale) | AP50 | 64.4 | #139 of 225 | Archive leaderboard | report |
| Object Detection | COCO test-dev | AC-FPN Cascade R-CNN(ResNet-101, single scale) | AP75 | 49 | #139 of 225 | Archive leaderboard | report |
| Object Detection | COCO test-dev | AC-FPN Cascade R-CNN(ResNet-101, single scale) | APL | 56.6 | #139 of 225 | Archive leaderboard | report |
| Object Detection | COCO test-dev | AC-FPN Cascade R-CNN(ResNet-101, single scale) | APM | 47.7 | #139 of 225 | Archive leaderboard | report |
| Object Detection | COCO test-dev | AC-FPN Cascade R-CNN(ResNet-101, single scale) | APS | 26.9 | #139 of 225 | Archive leaderboard | report |
| Object Detection | COCO test-dev | AC-FPN Cascade R-CNN(ResNet-101, single scale) | box mAP | 45 | #139 of 225 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
Methods
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections