Scan2Cap Benchmark

This table lists the benchmark results for the Scan2Cap Dense Captioning Benchmark scenario.


   Captioning F1-Score Dense Captioning Object Detection
Method InfoCIDEr@0.5IoUBLEU-4@0.5IoURouge-L@0.5IoUMETEOR@0.5IoUDCmAPmAP@0.5
sort bysort bysort bysort bysort bysorted by
Vote2Cap-DETR++0.3360 20.1908 10.3012 20.1386 20.1864 10.5090 1
Sijin Chen, Hongyuan Zhu, Mingsheng Li, Xin Chen, Peng Guo, Yinjie Lei, Gang Yu, Taihao Li, Tao Chen: Vote2Cap-DETR++: Decoupling Localization and Describing for End-to-End 3D Dense Captioning.
Chat-Scene-thres0.010.2053 90.1103 100.1884 100.0907 100.1527 50.5076 2
Chat-Scene-all0.1257 150.0671 170.1150 170.0554 170.1539 40.5076 2
Chat-Scene-thres0.5permissive0.3456 10.1859 20.3162 10.1527 10.1415 80.4856 4
Haifeng Huang, Yilun Chen, Zehan Wang, et al.: Chat-Scene: Bridging 3D Scene and Large Language Models with Object Identifiers. NeurIPS 2024
TMP0.3029 40.1728 40.2898 30.1332 30.1801 30.4605 5
vote2cap-detrpermissive0.3128 30.1778 30.2842 40.1316 40.1825 20.4454 6
Sijin Chen, Hongyuan Zhu, Xin Chen, Yinjie Lei, Tao Chen, Gang YU, Taihao Li: End-to-End 3D Dense Captioning with Vote2Cap-DETR. CVPR 2023
D3Net - Speakerpermissive0.2088 80.1335 90.2237 80.1022 80.1481 70.4198 7
Dave Zhenyu Chen, Qirui Wu, Matthias Niessner, Angel X. Chang: D3Net: A Unified Speaker-Listener Architecture for 3D Dense Captioning and Visual Grounding. 17th European Conference on Computer Vision (ECCV), 2022
3DJCG(Captioning)permissive0.1918 100.1350 80.2207 90.1013 90.1506 60.3867 8
Daigang Cai, Lichen Zhao, Jing Zhang†, Lu Sheng, Dong Xu: 3DJCG: A Unified Framework for Joint Dense Captioning and Visual Grounding on 3D Point Clouds. CVPR2022 Oral
SpaCap3Dpermissive0.1359 130.0883 130.1591 130.0738 130.1182 140.3275 9
Heng Wang, Chaoyi Zhang, Jianhui Yu, Weidong Cai: Spatiality-guided Transformer for 3D Dense Captioning on Point Clouds. the 31st International Joint Conference on Artificial Intelligence (IJCAI), 2022
CFM0.2360 50.1417 50.2253 50.1034 50.1379 100.3008 10
NOAH0.1382 120.0901 120.1598 120.0747 120.1359 110.2977 11
CM3D-Trans+0.2348 60.1383 60.2250 70.1030 60.1398 90.2966 12
Yufeng Zhong, Long Xu, Jiebo Luo, Lin Ma: Contextual Modeling for 3D Dense Captioning on Point Clouds.
SUN+0.1148 170.0846 140.1564 140.0711 140.1143 160.2958 13
REMAN0.1662 110.1070 110.1790 110.0815 110.1235 130.2927 14
Forest-xyz0.2266 70.1363 70.2250 60.1027 70.1161 150.2825 15
X-Trans2Cappermissive0.1274 140.0808 150.1392 150.0653 150.1244 120.2795 16
Yuan, Zhihao and Yan, Xu and Liao, Yinghong and Guo, Yao and Li, Guanbin and Cui, Shuguang and Li, Zhen: X-Trans2Cap: Cross-Modal Knowledge Transfer Using Transformer for 3D Dense Captioning. CVPR 2022
MORE-xyzpermissive0.1239 160.0796 160.1362 160.0631 160.1116 170.2648 17
Yang Jiao, Shaoxiang Chen, Zequn Jie, Jingjing Chen, Lin Ma, Yu-Gang Jiang: MORE: Multi_ORder RElation Mining for Dense Captioning in 3D Scenes. ECCV 2022
Scan2Cappermissive0.0849 180.0576 180.1073 180.0492 180.0970 180.2481 18
Dave Zhenyu Chen, Ali Gholami, Matthias Nießner and Angel X. Chang: Scan2Cap: Context-aware Dense Captioning in RGB-D Scans. CVPR 2021