序号 | 时间 | 论文名字 | 会议 | git |
---|---|---|---|---|
1 | 2015.12.8 | SSD Deconvolutional Single Shot Detector | ECCV2016 | |
2 | 2017.1.23 | DSSD Deconvolutional Single Shot Detector | ||
3 | 2017.5.26 | R-SSD Enhancement of SSD by concatenating feature maps for object detection | ||
4 | 2017.07.18 | RUN:Residual Features and Unified Prediction Network for Single Stage Detection | git | |
5 | 2017.7.26 | Detecting Small Signs from Large Images | ||
6 | 2017.8.17 | S3FD Single Shot Scale-invariant Face Detector | ||
7 | 2016.8.24 | Online Real-time Multiple Spatiotemporal Action Localisation and Prediction | ICCV 2017 | git |
8 | 2017.8.27 | Context-aware single-shot detector | ||
9 | 2017.9.15 | Feature-Fused SSD: Fast Detection for Small Objects | ||
10 | 2017.11.18 | Single-Shot Refinement Neural Network for Object Detection | git | |
11 | 2017.11.27 | Receptive Field Block Net for Accurate and Fast Object Detection | git | |
12 | 2017.12.1 | Single-Shot Object Detection with Enriched Semantics | ||
13 | 2017.12.4 | FSSD: Feature Fusion Single Shot Multibox Detector | ||
14 | 2017.12.8 | Weaving Multi-scale Context for Single Shot Detector |
训练条件:VOC07+12
对比条件: (T):Titanx Maxwell (P):Titan X Pascal GPU
Speed(P)=2*Speed(T)
以下数据全部来自论文统计
序号 | 方法 | 输入大小 | 基础网络 | 速度fps | mAP(VOC07) | mAP(VOC12) | 备注 |
---|---|---|---|---|---|---|---|
1 | SSD | 300 | VGG16 | 46 | 77.2 | 75.8 | |
2 | DSSD | 300 | Resnet-101 | 9.5 | 78.6 | 76.3 | |
3 | RefineDet | 320 | VGG16 | 40.3 | 80 | 78.1 | |
4 | DES | 300 | VGG16 | 34 | 79.5 | 77 | 67.8(P) |
5 | DSOD | 300 | DS/64-192-48-1 | 17.4 | 77.7 | - | |
6 | R-SSD | 300 | VGG16 | 37.1 | 78.5 | - | |
7 | RUN3WAY | 300 | VGG16 | 40 | 79.2 | ||
8 | FSSD | 300 | VGG16 | 33 | 78.8 | - | 65.6(P) |
9 | DiCSSD | 300 | VGG16 | 40.8 | 78.1 | - | - |
10 | DeCSSD | 300 | VGG16 | 39.8 | 77.6 | ||
11 | Proposed element-sum model | 300 | VGG16 | 43 | 78.9 | ||
12 | RFBNet | 300 | VGG16 | 43 | 80.5 | ||
13 | RFBNet | 300 | VGG16 | 83 | 80.5 | ||
- | - | ||||||
序号 | 方法 | 输入大小 | 基础网络 | 速度fps | mAP(VOC07) | mAP(VOC12) | 备注 |
1 | SSD | 512 | VGG16 | 19 | 79.8 | 78.5 | |
2 | DSSD | 513 | Resnet-101 | 5.5 | 81.5 | 80 | |
3 | RefineDet | 512 | VGG16 | 24.1 | 81.8 | 80.1 | |
4 | DES | 512 | VGG16 | 14 | 81.6 | 80.2 | 27.2(P) |
5 | R-SSD | 512 | VGG16 | 15.8 | 80.8 | ||
6 | RUN3WAY | 512 | VGG16 | 19.5 | 80.9 | ||
7 | FSSD | 512 | VGG16 | 18 | 80.9 | - | 35.7(P) |
8 | RFB | 512 | VGG16 | 18 | 82.2 | ||
9 | RFBNet | 512 | VGG16 | 38 | 82.23 |