Table 1 Performance (%) of our method and state-of-the-art methods on the VG dataset
Models | Predicate classification | Scene graph classification | Scene graph detection | ||||||
|---|---|---|---|---|---|---|---|---|---|
mR@20 | mR@50 | mR@100 | mR@20 | mR@50 | mR@100 | mR@20 | mR@50 | mR@100 | |
GPS-Net\(^\ddagger \) (Lin et al. 2020) CVPR’20 | 17.4 | 21.3 | 22.8 | 10.0 | 11.8 | 12.6 | 6.9 | 8.7 | 9.8 |
BGNN (Li et al. 2021) CVPR’21 | – | 30.4 | 32.9 | – | 14.3 | 16.5 | – | 10.7 | 12.6 |
Seq2Seq\(^\ddagger \) (Lu et al. 2021) ICCV’21 | 21.3 | 26.1 | 30.5 | 11.9 | 14.7 | 16.2 | 7.5 | 9.6 | 12.1 |
RelTR (Cong et al. 2023) TPAMI’22 | 20.0 | 21.2 | – | 7.7 | 11.4 | – | 6.8 | 10.8 | – |
SGTR\(^\ddagger \) (Li et al. 2022a) CVPR’22 | – | – | – | – | – | – | – | 15.8 | 20.1 |
HetSGG (Yoon et al. 2023) AAAI’23 | – | 32.3 | 34.5 | – | 15.8 | 17.7 | – | 11.5 | 13.5 |
HiKER\(^\ddagger \) (Zhang et al. 2024a) CVPR’24 | 33.4 | 39.3 | 41.2 | 18.2 | 20.3 | 21.4 | – | – | – |
RA-SGG (Yoon et al. 2025) AAAI’25 | – | 36.2 | 39.1 | – | 20.9 | 22.5 | – | 14.4 | 17.1 |
Motifs (Zellers et al. 2018) CVPR’18 | 11.6 | 15.1 | 16.4 | 7.7 | 9.4 | 10.0 | 5.1 | 6.9 | 8.2 |
+ BA-SGG (Guo et al. 2021) ICCV’21 | 24.8 | 29.7 | 31.7 | 14.0 | 16.5 | 17.5 | 10.7 | 13.5 | 15.6 |
+ HML (Deng et al. 2022) ECCV’22 | 30.1 | 36.3 | 38.7 | 17.1 | 20.8 | 22.1 | 10.8 | 14.6 | 17.3 |
+ NICE (Desai et al. 2021) CVPR’22 | – | 29.9 | 32.3 | – | 16.6 | 17.9 | – | 12.2 | 14.4 |
+ GCL (Dong et al. 2022) CVPR’22 | 30.5 | 36.1 | 38.2 | 18.0 | 20.8 | 21.8 | 12.9 | 16.8 | 19.3 |
+ RTPB (Chen et al. 2022) AAAI’22 | 28.8 | 35.3 | 37.7 | 16.3 | 19.4 | 20.6 | 9.7 | 13.1 | 15.5 |
+ CFA (Li et al. 2023a) ICCV’23 | – | 35.7 | 38.2 | – | 17.0 | 18.4 | – | 13.2 | 15.5 |
+ Inf (Biswas and Ji 2023) CVPR’23 | – | 24.7 | 30.7 | – | 14.5 | 17.4 | – | 9.4 | 11.7 |
+ NICEST (Li et al. 2024b) TPAMI’24 | – | 29.5 | 31.6 | – | 15.7 | 16.5 | – | 10.4 | 12.4 |
+ CAModule (Liu et al. 2025a) TPAMI’25 | 32.5 | 36.7 | 39.3 | 18.8 | 21.1 | 24.7 | 11.7 | 16.3 | 18.2 |
+ GCM (Zhang et al. 2025) TPAMI’25 | – | 37.7 | 40.1 | – | 21.0 | 22.4 | – | 14.2 | 16.5 |
+ SSC (Yang et al. 2025) AAAI’25 | – | 31.5 | 34.0 | – | 17.8 | 18.9 | – | 12.3 | 14.4 |
+ AMCA (Ours) | 35.7 | 41.4 | 43.8 | 21.5 | 24.4 | 26.2 | 13.5 | 17.1 | 19.8 |
VCTree (Tang et al. 2019) CVPR’19 | 11.8 | 15.0 | 16.3 | 7.9 | 9.9 | 10.5 | 4.6 | 6.2 | 7.8 |
+ BA-SGG (Guo et al. 2021) ICCV’21 | 26.2 | 30.6 | 32.6 | 17.2 | 20.1 | 21.2 | 10.6 | 13.5 | 15.7 |
+ HML (Deng et al. 2022) ECCV’22 | 31.0 | 36.9 | 39.2 | 20.5 | 25.0 | 26.8 | 10.1 | 13.7 | 16.3 |
+ NICE (Desai et al. 2021) CVPR’22 | – | 30.7 | 33.0 | – | 19.9 | 21.3 | – | 11.9 | 14.1 |
+ GCL (Dong et al. 2022) CVPR’22 | 31.4 | 37.1 | 39.1 | 19.5 | 22.5 | 23.5 | 11.9 | 15.2 | 17.5 |
+ RTPB (Chen et al. 2022) AAAI’22 | 27.3 | 33.4 | 35.6 | 20.6 | 24.5 | 25.8 | 9.6 | 12.8 | 15.1 |
+ CFA (Li et al. 2023a) ICCV’23 | – | 34.5 | 37.2 | – | 19.1 | 20.8 | – | 13.1 | 15.5 |
+ Inf (Biswas and Ji 2023) CVPR’23 | – | 28.1 | 30.7 | – | 17.3 | 19.4 | – | 10.4 | 11.9 |
+ NICEST (Li et al. 2024b) TPAMI’24 | – | 30.6 | 32.9 | – | 18.9 | 20.0 | – | 10.2 | 11.9 |
+ CAModule (Liu et al. 2025a) TPAMI’25 | 35.2 | 38.4 | 40.5 | 21.7 | 23.2 | 25.9 | 12.3 | 16.4 | 19.6 |
+ GCM (Zhang et al. 2025) TPAMI’25 | – | 36.1 | 38.3 | – | 21.6 | 22.9 | – | 14.6 | 17.0 |
+ SSC (Yang et al. 2025) AAAI’25 | – | 31.1 | 33.4 | – | 21.7 | 23.2 | – | 12.7 | 14.6 |
+ AMCA (Ours) | 37.2 | 42.8 | 44.5 | 26.0 | 28.5 | 29.2 | 13.3 | 17.0 | 18.8 |