task_path stringlengths 3 199 ⌀ | dataset stringlengths 1 128 ⌀ | model_name stringlengths 1 223 ⌀ | paper_url stringlengths 21 601 ⌀ | metric_name stringlengths 1 50 ⌀ | metric_value stringlengths 1 9.22k ⌀ |
|---|---|---|---|---|---|
Autonomous Vehicles > Lane Detection | CULane | LaneAF (DLA-34) | https://arxiv.org/abs/2103.12040v4 | F1 score | 77.41 |
Autonomous Vehicles > Lane Detection | CULane | SGNet (ResNet-34) | https://arxiv.org/abs/2105.05403v2 | F1 score | 77.27 |
Autonomous Vehicles > Lane Detection | CULane | Eigenlanes (ResNet-50) | https://arxiv.org/abs/2203.15302v1 | F1 score | 77.2 |
Autonomous Vehicles > Lane Detection | CULane | LaneATT (ResNet-122) | https://arxiv.org/abs/2010.12035v2 | F1 score | 77.02 |
Autonomous Vehicles > Lane Detection | CULane | LaneATT (ResNet-34) | https://arxiv.org/abs/2010.12035v2 | F1 score | 76.68 |
Autonomous Vehicles > Lane Detection | CULane | Eigenlanes (ResNet-18) | https://arxiv.org/abs/2203.15302v1 | F1 score | 76.5 |
Autonomous Vehicles > Lane Detection | CULane | RESA - CLLD | https://arxiv.org/abs/2308.08242v4 | F1 score | 76.26 |
Autonomous Vehicles > Lane Detection | CULane | LaneAF (ERFNet) | https://arxiv.org/abs/2103.12040v4 | F1 score | 75.63 |
Autonomous Vehicles > Lane Detection | CULane | BézierLaneNet (ResNet-34) | https://arxiv.org/abs/2203.02431v2 | F1 score | 75.57 |
Autonomous Vehicles > Lane Detection | CULane | RESA | https://arxiv.org/abs/2008.13719v2 | F1 score | 75.3 |
Autonomous Vehicles > Lane Detection | CULane | LaneATT (ResNet-18) | https://arxiv.org/abs/2010.12035v2 | F1 score | 75.13 |
Autonomous Vehicles > Lane Detection | CULane | CurveLane-L | https://arxiv.org/abs/2007.12147v1 | F1 score | 74.8 |
Autonomous Vehicles > Lane Detection | CULane | PINet | https://arxiv.org/abs/2002.06604v4 | F1 score | 74.4 |
Autonomous Vehicles > Lane Detection | CULane | LaneAF (ENet) | https://arxiv.org/abs/2103.12040v4 | F1 score | 74.24 |
Autonomous Vehicles > Lane Detection | CULane | ERFNet-H&VESA | https://arxiv.org/abs/2102.07037v3 | F1 score | 74.2 |
Autonomous Vehicles > Lane Detection | CULane | SwiftLane | https://arxiv.org/abs/2110.11779v1 | F1 score | 74.03 |
Autonomous Vehicles > Lane Detection | CULane | ERFNet-E2E | https://arxiv.org/abs/2005.08630v1 | F1 score | 74 |
Autonomous Vehicles > Lane Detection | CULane | BézierLaneNet (ResNet-18) | https://arxiv.org/abs/2203.02431v2 | F1 score | 73.67 |
Autonomous Vehicles > Lane Detection | CULane | CurveLane-M | https://arxiv.org/abs/2007.12147v1 | F1 score | 73.5 |
Autonomous Vehicles > Lane Detection | CULane | ERFNet-IntRA-KD (ours) | https://arxiv.org/abs/2004.05304v1 | F1 score | 72.4 |
Autonomous Vehicles > Lane Detection | CULane | ResNet34-UFAST | https://arxiv.org/abs/2004.11757v4 | F1 score | 72.3 |
Autonomous Vehicles > Lane Detection | CULane | ResNet-101-E2E | https://arxiv.org/abs/2005.08630v1 | F1 score | 71.9 |
Autonomous Vehicles > Lane Detection | CULane | SCNN | http://arxiv.org/abs/1712.06080v1 | F1 score | 71.6 |
Autonomous Vehicles > Lane Detection | CULane | CurveLane-S | https://arxiv.org/abs/2007.12147v1 | F1 score | 71.4 |
Autonomous Vehicles > Lane Detection | CULane | ENet-SAD | https://arxiv.org/abs/1908.00821v1 | F1 score | 70.8 |
Autonomous Vehicles > Lane Detection | CULane | UNet - CLLD | https://arxiv.org/abs/2308.08242v4 | F1 score | 70.56 |
Autonomous Vehicles > Lane Detection | CULane | ENet-Label | http://arxiv.org/abs/1905.03704v1 | F1 score | 68.8 |
Autonomous Vehicles > Lane Detection | CULane | ResNet18-UFAST | https://arxiv.org/abs/2004.11757v4 | F1 score | 68.4 |
Autonomous Vehicles > Lane Detection | TuSimple | SCNN_UNet_Attention_PL* | https://arxiv.org/abs/2305.17271v2 | Accuracy | 98.38 |
Autonomous Vehicles > Lane Detection | TuSimple | CLRNetV2 (ResNet18) | https://ieeexplore.ieee.org/abstract/document/10930685 | Accuracy | 96.99 |
Autonomous Vehicles > Lane Detection | TuSimple | CLRNetV2 (ResNet18) | https://ieeexplore.ieee.org/abstract/document/10930685 | F1 score | 97.90 |
Autonomous Vehicles > Lane Detection | TuSimple | PE-RESA | https://arxiv.org/abs/2203.12301v1 | Accuracy | 96.93 |
Autonomous Vehicles > Lane Detection | TuSimple | FOLOLane(ERFNet) | https://arxiv.org/abs/2105.13680v1 | Accuracy | 96.92 |
Autonomous Vehicles > Lane Detection | TuSimple | CLRNet(ResNet-34) | https://arxiv.org/abs/2203.10350v1 | Accuracy | 96.9% |
Autonomous Vehicles > Lane Detection | TuSimple | CLRNet(ResNet-34) | https://arxiv.org/abs/2203.10350v1 | F1 score | 97.82 |
Autonomous Vehicles > Lane Detection | TuSimple | CLRNetV2 (ResNet34) | https://ieeexplore.ieee.org/abstract/document/10930685 | Accuracy | 96.88 |
Autonomous Vehicles > Lane Detection | TuSimple | CLRNetV2 (ResNet34) | https://ieeexplore.ieee.org/abstract/document/10930685 | F1 score | 97.95 |
Autonomous Vehicles > Lane Detection | TuSimple | CLRNet(ResNet-18) | https://arxiv.org/abs/2203.10350v1 | Accuracy | 96.82% |
Autonomous Vehicles > Lane Detection | TuSimple | CLRNet(ResNet-18) | https://arxiv.org/abs/2203.10350v1 | F1 score | 97.89 |
Autonomous Vehicles > Lane Detection | TuSimple | RESA | https://arxiv.org/abs/2008.13719v2 | Accuracy | 96.82 |
Autonomous Vehicles > Lane Detection | TuSimple | RESA | https://arxiv.org/abs/2008.13719v2 | F1 score | 96.93 |
Autonomous Vehicles > Lane Detection | TuSimple | CLLD | https://arxiv.org/abs/2308.08242v4 | Accuracy | 96.82 |
Autonomous Vehicles > Lane Detection | TuSimple | CANet-L(ResNet101) | https://arxiv.org/abs/2304.11546v1 | Accuracy | 96.76% |
Autonomous Vehicles > Lane Detection | TuSimple | CANet-L(ResNet101) | https://arxiv.org/abs/2304.11546v1 | F1 score | 97.77 |
Autonomous Vehicles > Lane Detection | TuSimple | CANet-M | https://arxiv.org/abs/2304.11546v1 | Accuracy | 96.66% |
Autonomous Vehicles > Lane Detection | TuSimple | CANet-M | https://arxiv.org/abs/2304.11546v1 | F1 score | 97.44 |
Autonomous Vehicles > Lane Detection | TuSimple | ENet-SAD | https://arxiv.org/abs/1908.00821v1 | Accuracy | 96.64% |
Autonomous Vehicles > Lane Detection | TuSimple | ENet-SAD | https://arxiv.org/abs/1908.00821v1 | F1 score | 95.92 |
Autonomous Vehicles > Lane Detection | TuSimple | HarD-SP | https://arxiv.org/abs/2008.08311v2 | Accuracy | 96.58% |
Autonomous Vehicles > Lane Detection | TuSimple | HarD-SP | https://arxiv.org/abs/2008.08311v2 | F1 score | 96.38 |
Autonomous Vehicles > Lane Detection | TuSimple | CANet-S | https://arxiv.org/abs/2304.11546v1 | Accuracy | 96.56% |
Autonomous Vehicles > Lane Detection | TuSimple | CANet-S | https://arxiv.org/abs/2304.11546v1 | F1 score | 97.51 |
Autonomous Vehicles > Lane Detection | TuSimple | CondLaneNet-L(ResNet-101) | https://arxiv.org/abs/2105.05003v3 | Accuracy | 96.54% |
Autonomous Vehicles > Lane Detection | TuSimple | CondLaneNet-L(ResNet-101) | https://arxiv.org/abs/2105.05003v3 | F1 score | 97.24 |
Autonomous Vehicles > Lane Detection | TuSimple | Oblique Convolution | null | Accuracy | 96.50% |
Autonomous Vehicles > Lane Detection | TuSimple | Oblique Convolution | null | F1 score | 97.42 |
Autonomous Vehicles > Lane Detection | TuSimple | Pairwise pixel supervision + FCN | http://arxiv.org/abs/1803.06459v1 | Accuracy | 96.50% |
Autonomous Vehicles > Lane Detection | TuSimple | Pairwise pixel supervision + FCN | http://arxiv.org/abs/1803.06459v1 | F1 score | 94.31 |
Autonomous Vehicles > Lane Detection | TuSimple | EL-GAN | http://arxiv.org/abs/1806.05525v2 | Accuracy | 96.40% |
Autonomous Vehicles > Lane Detection | TuSimple | EL-GAN | http://arxiv.org/abs/1806.05525v2 | F1 score | 96.26 |
Autonomous Vehicles > Lane Detection | TuSimple | LaneNet | http://arxiv.org/abs/1802.05591v1 | Accuracy | 96.4% |
Autonomous Vehicles > Lane Detection | TuSimple | LaneNet | http://arxiv.org/abs/1802.05591v1 | F1 score | 94.80 |
Autonomous Vehicles > Lane Detection | TuSimple | Discriminative loss function | http://arxiv.org/abs/1708.02551v1 | Accuracy | 96.40% |
Autonomous Vehicles > Lane Detection | TuSimple | ENet-Label | http://arxiv.org/abs/1905.03704v1 | Accuracy | 96.29% |
Autonomous Vehicles > Lane Detection | TuSimple | ENet-Label | http://arxiv.org/abs/1905.03704v1 | F1 score | 95.23 |
Autonomous Vehicles > Lane Detection | TuSimple | R-34-E2E | https://arxiv.org/abs/2005.08630v1 | Accuracy | 96.22% |
Autonomous Vehicles > Lane Detection | TuSimple | R-34-E2E | https://arxiv.org/abs/2005.08630v1 | F1 score | 96.58 |
Autonomous Vehicles > Lane Detection | TuSimple | LSTR | https://arxiv.org/abs/2011.04233v2 | Accuracy | 96.18 |
Autonomous Vehicles > Lane Detection | TuSimple | LSTR | https://arxiv.org/abs/2011.04233v2 | F1 score | 96.68 |
Autonomous Vehicles > Lane Detection | TuSimple | R-50-E2E | https://arxiv.org/abs/2005.08630v1 | Accuracy | 96.11% |
Autonomous Vehicles > Lane Detection | TuSimple | R-50-E2E | https://arxiv.org/abs/2005.08630v1 | F1 score | 96.37 |
Autonomous Vehicles > Lane Detection | TuSimple | LaneATT (ResNet-122) | https://arxiv.org/abs/2010.12035v2 | Accuracy | 96.10% |
Autonomous Vehicles > Lane Detection | TuSimple | LaneATT (ResNet-122) | https://arxiv.org/abs/2010.12035v2 | F1 score | 96.06 |
Autonomous Vehicles > Lane Detection | TuSimple | ERF-E2E | https://arxiv.org/abs/2005.08630v1 | Accuracy | 96.02% |
Autonomous Vehicles > Lane Detection | TuSimple | ERF-E2E | https://arxiv.org/abs/2005.08630v1 | F1 score | 96.25 |
Autonomous Vehicles > Lane Detection | TuSimple | Lane-LSQ | null | Accuracy | 95.84% |
Autonomous Vehicles > Lane Detection | TuSimple | BézierLaneNet (ResNet-34) | https://arxiv.org/abs/2203.02431v2 | Accuracy | 95.65% |
Autonomous Vehicles > Lane Detection | TuSimple | LaneAF | https://arxiv.org/abs/2103.12040v4 | Accuracy | 95.64% |
Autonomous Vehicles > Lane Detection | TuSimple | LaneAF | https://arxiv.org/abs/2103.12040v4 | F1 score | 96.49 |
Autonomous Vehicles > Lane Detection | TuSimple | LaneATT (ResNet-34) | https://arxiv.org/abs/2010.12035v2 | Accuracy | 95.63% |
Autonomous Vehicles > Lane Detection | TuSimple | LaneATT (ResNet-34) | https://arxiv.org/abs/2010.12035v2 | F1 score | 96.77 |
Autonomous Vehicles > Lane Detection | TuSimple | Eigenlanes (ResNet-18) | https://arxiv.org/abs/2203.15302v1 | Accuracy | 95.62% |
Autonomous Vehicles > Lane Detection | TuSimple | LaneATT (ResNet-18) | https://arxiv.org/abs/2010.12035v2 | Accuracy | 95.57% |
Autonomous Vehicles > Lane Detection | TuSimple | LaneATT (ResNet-18) | https://arxiv.org/abs/2010.12035v2 | F1 score | 96.71 |
Autonomous Vehicles > Lane Detection | TuSimple | CondLaneNet(ResNet-18) | https://arxiv.org/abs/2105.05003v3 | Accuracy | 95.48% |
Autonomous Vehicles > Lane Detection | TuSimple | BézierLaneNet (ResNet-18) | https://arxiv.org/abs/2203.02431v2 | Accuracy | 95.41% |
Autonomous Vehicles > Lane Detection | TuSimple | CondLaneNet-M(ResNet-34) | https://arxiv.org/abs/2105.05003v3 | Accuracy | 95.37% |
Autonomous Vehicles > Lane Detection | TuSimple | CondLaneNet-M(ResNet-34) | https://arxiv.org/abs/2105.05003v3 | F1 score | 96.98 |
Autonomous Vehicles > Lane Detection | TuSimple | End-to-end ERFNet | https://arxiv.org/abs/1907.01294v2 | Accuracy | 95.24% |
Autonomous Vehicles > Lane Detection | TuSimple | End-to-end ERFNet | https://arxiv.org/abs/1907.01294v2 | F1 score | 90.82 |
Autonomous Vehicles > Lane Detection | TuSimple | ERFNet | null | Accuracy | 94.5% |
Autonomous Vehicles > Lane Detection | TuSimple | PolyLaneNet | https://arxiv.org/abs/2004.10924v2 | Accuracy | 93.36% |
Autonomous Vehicles > Lane Detection | TuSimple | PolyLaneNet | https://arxiv.org/abs/2004.10924v2 | F1 score | 90.62 |
Autonomous Vehicles > Lane Detection | TuSimple | GANet(ResNet-34) | https://arxiv.org/abs/2204.07335v1 | F1 score | 97.71 |
Autonomous Vehicles > Lane Detection | TuSimple | GANet(ResNet-18) | https://arxiv.org/abs/2204.07335v1 | F1 score | 97.68 |
Autonomous Vehicles > Lane Detection | TuSimple | CLRNet(ResNet-101) | https://arxiv.org/abs/2203.10350v1 | F1 score | 97.62 |
Autonomous Vehicles > Lane Detection | TuSimple | GANet(ResNet-101) | https://arxiv.org/abs/2204.07335v1 | F1 score | 97.45 |
Autonomous Vehicles > Lane Detection | TuSimple | CondLaneNet(ResNet-34) | https://arxiv.org/abs/2105.05003v3 | F1 score | 97.01 |
Autonomous Vehicles > Lane Detection | LLAMAS | CLRNet (DLA-34) | https://arxiv.org/abs/2203.10350v1 | F1 | 0.9612 |
Autonomous Vehicles > Lane Detection | LLAMAS | BézierLaneNet (ResNet-34) | https://arxiv.org/abs/2203.02431v2 | F1 | 0.9611 |
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