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Models/AttentiveFusion

AttentiveFusion

Reported on 24 benchmarks across 6 tasks · 1 paper

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Methodology16 results

3DonV2XSet
AP0.5 (Noisy)· 2021-09-16
0.709
best: 0.836 (V2X-ViT)
OPV2V: An Open Benchmark Dataset and Fusion Pipeline for Perception with Vehicle-to-Vehicle Communication arXiv:2109.07644
3DonV2XSet
AP0.5 (Perfect)· 2021-09-16
0.807
best: 0.882 (V2X-ViT)
OPV2V: An Open Benchmark Dataset and Fusion Pipeline for Perception with Vehicle-to-Vehicle Communication arXiv:2109.07644
3DonV2XSet
AP0.7 (Noisy)· 2021-09-16
0.487
best: 0.614 (V2X-ViT)
OPV2V: An Open Benchmark Dataset and Fusion Pipeline for Perception with Vehicle-to-Vehicle Communication arXiv:2109.07644
3DonV2XSet
AP0.7 (Perfect)· 2021-09-16
0.664
best: 0.724 (V2X-AHD)
OPV2V: An Open Benchmark Dataset and Fusion Pipeline for Perception with Vehicle-to-Vehicle Communication arXiv:2109.07644
2D ClassificationonV2XSet
AP0.5 (Noisy)· 2021-09-16
0.709
best: 0.836 (V2X-ViT)
OPV2V: An Open Benchmark Dataset and Fusion Pipeline for Perception with Vehicle-to-Vehicle Communication arXiv:2109.07644
2D ClassificationonV2XSet
AP0.5 (Perfect)· 2021-09-16
0.807
best: 0.882 (V2X-ViT)
OPV2V: An Open Benchmark Dataset and Fusion Pipeline for Perception with Vehicle-to-Vehicle Communication arXiv:2109.07644
2D ClassificationonV2XSet
AP0.7 (Noisy)· 2021-09-16
0.487
best: 0.614 (V2X-ViT)
OPV2V: An Open Benchmark Dataset and Fusion Pipeline for Perception with Vehicle-to-Vehicle Communication arXiv:2109.07644
2D ClassificationonV2XSet
AP0.7 (Perfect)· 2021-09-16
0.664
best: 0.724 (V2X-AHD)
OPV2V: An Open Benchmark Dataset and Fusion Pipeline for Perception with Vehicle-to-Vehicle Communication arXiv:2109.07644
2D Object DetectiononV2XSet
AP0.5 (Noisy)· 2021-09-16
0.709
best: 0.836 (V2X-ViT)
OPV2V: An Open Benchmark Dataset and Fusion Pipeline for Perception with Vehicle-to-Vehicle Communication arXiv:2109.07644
2D Object DetectiononV2XSet
AP0.5 (Perfect)· 2021-09-16
0.807
best: 0.882 (V2X-ViT)
OPV2V: An Open Benchmark Dataset and Fusion Pipeline for Perception with Vehicle-to-Vehicle Communication arXiv:2109.07644
2D Object DetectiononV2XSet
AP0.7 (Noisy)· 2021-09-16
0.487
best: 0.614 (V2X-ViT)
OPV2V: An Open Benchmark Dataset and Fusion Pipeline for Perception with Vehicle-to-Vehicle Communication arXiv:2109.07644
2D Object DetectiononV2XSet
AP0.7 (Perfect)· 2021-09-16
0.664
best: 0.724 (V2X-AHD)
OPV2V: An Open Benchmark Dataset and Fusion Pipeline for Perception with Vehicle-to-Vehicle Communication arXiv:2109.07644
16konV2XSet
AP0.5 (Noisy)· 2021-09-16
0.709
best: 0.836 (V2X-ViT)
OPV2V: An Open Benchmark Dataset and Fusion Pipeline for Perception with Vehicle-to-Vehicle Communication arXiv:2109.07644
16konV2XSet
AP0.5 (Perfect)· 2021-09-16
0.807
best: 0.882 (V2X-ViT)
OPV2V: An Open Benchmark Dataset and Fusion Pipeline for Perception with Vehicle-to-Vehicle Communication arXiv:2109.07644
16konV2XSet
AP0.7 (Noisy)· 2021-09-16
0.487
best: 0.614 (V2X-ViT)
OPV2V: An Open Benchmark Dataset and Fusion Pipeline for Perception with Vehicle-to-Vehicle Communication arXiv:2109.07644
16konV2XSet
AP0.7 (Perfect)· 2021-09-16
0.664
best: 0.724 (V2X-AHD)
OPV2V: An Open Benchmark Dataset and Fusion Pipeline for Perception with Vehicle-to-Vehicle Communication arXiv:2109.07644

Computer Vision8 results

Object DetectiononV2XSet
AP0.5 (Noisy)· 2021-09-16
0.709
best: 0.836 (V2X-ViT)
OPV2V: An Open Benchmark Dataset and Fusion Pipeline for Perception with Vehicle-to-Vehicle Communication arXiv:2109.07644
Object DetectiononV2XSet
AP0.5 (Perfect)· 2021-09-16
0.807
best: 0.882 (V2X-ViT)
OPV2V: An Open Benchmark Dataset and Fusion Pipeline for Perception with Vehicle-to-Vehicle Communication arXiv:2109.07644
Object DetectiononV2XSet
AP0.7 (Noisy)· 2021-09-16
0.487
best: 0.614 (V2X-ViT)
OPV2V: An Open Benchmark Dataset and Fusion Pipeline for Perception with Vehicle-to-Vehicle Communication arXiv:2109.07644
Object DetectiononV2XSet
AP0.7 (Perfect)· 2021-09-16
0.664
best: 0.724 (V2X-AHD)
OPV2V: An Open Benchmark Dataset and Fusion Pipeline for Perception with Vehicle-to-Vehicle Communication arXiv:2109.07644
3D Object DetectiononV2XSet
AP0.5 (Noisy)· 2021-09-16
0.709
best: 0.836 (V2X-ViT)
OPV2V: An Open Benchmark Dataset and Fusion Pipeline for Perception with Vehicle-to-Vehicle Communication arXiv:2109.07644
3D Object DetectiononV2XSet
AP0.5 (Perfect)· 2021-09-16
0.807
best: 0.882 (V2X-ViT)
OPV2V: An Open Benchmark Dataset and Fusion Pipeline for Perception with Vehicle-to-Vehicle Communication arXiv:2109.07644
3D Object DetectiononV2XSet
AP0.7 (Noisy)· 2021-09-16
0.487
best: 0.614 (V2X-ViT)
OPV2V: An Open Benchmark Dataset and Fusion Pipeline for Perception with Vehicle-to-Vehicle Communication arXiv:2109.07644
3D Object DetectiononV2XSet
AP0.7 (Perfect)· 2021-09-16
0.664
best: 0.724 (V2X-AHD)
OPV2V: An Open Benchmark Dataset and Fusion Pipeline for Perception with Vehicle-to-Vehicle Communication arXiv:2109.07644