prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the GANet(ResNet-101) model in the A Keypoint-based Global Association Network for Lane Detection paper on the TuSimple dataset? | Accuracy, F1 score, F1-Measure |
What metrics were used to measure the CondLaneNet(ResNet-34) model in the CondLaneNet: a Top-to-down Lane Detection Framework Based on Conditional Convolution paper on the TuSimple dataset? | Accuracy, F1 score, F1-Measure |
What metrics were used to measure the CLRerNet-DLA34 model in the CLRerNet: Improving Confidence of Lane Detection with LaneIoU paper on the CULane dataset? | F1 score |
What metrics were used to measure the CLRerNet-Res101 model in the CLRerNet: Improving Confidence of Lane Detection with LaneIoU paper on the CULane dataset? | F1 score |
What metrics were used to measure the CLRerNet-Res34 model in the CLRerNet: Improving Confidence of Lane Detection with LaneIoU paper on the CULane dataset? | F1 score |
What metrics were used to measure the CLRNet(DLA-34) model in the CLRNet: Cross Layer Refinement Network for Lane Detection paper on the CULane dataset? | F1 score |
What metrics were used to measure the CLRNet(ResNet-101) model in the CLRNet: Cross Layer Refinement Network for Lane Detection paper on the CULane dataset? | F1 score |
What metrics were used to measure the CLRmatchNet (Enhancing curved lane, Resnet-101) model in the CLRmatchNet: Enhancing Curved Lane Detection with Deep Matching Process paper on the CULane dataset? | F1 score |
What metrics were used to measure the CANet-L(ResNet101) model in the CANet: Curved Guide Line Network with Adaptive Decoder for Lane Detection paper on the CULane dataset? | F1 score |
What metrics were used to measure the CLRNet(ResNet-34) model in the CLRNet: Cross Layer Refinement Network for Lane Detection paper on the CULane dataset? | F1 score |
What metrics were used to measure the GANet(ResNet-101) model in the A Keypoint-based Global Association Network for Lane Detection paper on the CULane dataset? | F1 score |
What metrics were used to measure the CLRNet(ResNet-18) model in the CLRNet: Cross Layer Refinement Network for Lane Detection paper on the CULane dataset? | F1 score |
What metrics were used to measure the CondLaneNet-L(ResNet-101) model in the CondLaneNet: a Top-to-down Lane Detection Framework Based on Conditional Convolution paper on the CULane dataset? | F1 score |
What metrics were used to measure the GANet(ResNet-34) model in the A Keypoint-based Global Association Network for Lane Detection paper on the CULane dataset? | F1 score |
What metrics were used to measure the CANet-M model in the CANet: Curved Guide Line Network with Adaptive Decoder for Lane Detection paper on the CULane dataset? | F1 score |
What metrics were used to measure the FOLOLane(ERFNet) model in the Focus on Local: Detecting Lane Marker from Bottom Up via Key Point paper on the CULane dataset? | F1 score |
What metrics were used to measure the GANet(ResNet-18) model in the A Keypoint-based Global Association Network for Lane Detection paper on the CULane dataset? | F1 score |
What metrics were used to measure the CondLaneNet-M(ResNet-34) model in the CondLaneNet: a Top-to-down Lane Detection Framework Based on Conditional Convolution paper on the CULane dataset? | F1 score |
What metrics were used to measure the CANet-S(ResNet18) model in the CANet: Curved Guide Line Network with Adaptive Decoder for Lane Detection paper on the CULane dataset? | F1 score |
What metrics were used to measure the CondLaneNet-S(ResNet-18) model in the CondLaneNet: a Top-to-down Lane Detection Framework Based on Conditional Convolution paper on the CULane dataset? | F1 score |
What metrics were used to measure the AtrousFormer(ResNet-34) model in the Lane Detection with Versatile AtrousFormer and Local Semantic Guidance paper on the CULane dataset? | F1 score |
What metrics were used to measure the O2SFormer(ResNet50) model in the End-to-End Lane detection with One-to-Several Transformer paper on the CULane dataset? | F1 score |
What metrics were used to measure the AtrousFormer(ResNet-18) model in the Lane Detection with Versatile AtrousFormer and Local Semantic Guidance paper on the CULane dataset? | F1 score |
What metrics were used to measure the LaneAF (DLA-34) model in the LaneAF: Robust Multi-Lane Detection with Affinity Fields paper on the CULane dataset? | F1 score |
What metrics were used to measure the SGNet (ResNet-34) model in the Structure Guided Lane Detection paper on the CULane dataset? | F1 score |
What metrics were used to measure the Eigenlanes (ResNet-50) model in the Eigenlanes: Data-Driven Lane Descriptors for Structurally Diverse Lanes paper on the CULane dataset? | F1 score |
What metrics were used to measure the LaneATT (ResNet-122) model in the Keep your Eyes on the Lane: Real-time Attention-guided Lane Detection paper on the CULane dataset? | F1 score |
What metrics were used to measure the LaneATT (ResNet-34) model in the Keep your Eyes on the Lane: Real-time Attention-guided Lane Detection paper on the CULane dataset? | F1 score |
What metrics were used to measure the Eigenlanes (ResNet-18) model in the Eigenlanes: Data-Driven Lane Descriptors for Structurally Diverse Lanes paper on the CULane dataset? | F1 score |
What metrics were used to measure the LaneAF (ERFNet) model in the LaneAF: Robust Multi-Lane Detection with Affinity Fields paper on the CULane dataset? | F1 score |
What metrics were used to measure the BézierLaneNet (ResNet-34) model in the Rethinking Efficient Lane Detection via Curve Modeling paper on the CULane dataset? | F1 score |
What metrics were used to measure the RESA model in the RESA: Recurrent Feature-Shift Aggregator for Lane Detection paper on the CULane dataset? | F1 score |
What metrics were used to measure the LaneATT (ResNet-18) model in the Keep your Eyes on the Lane: Real-time Attention-guided Lane Detection paper on the CULane dataset? | F1 score |
What metrics were used to measure the CurveLane-L model in the CurveLane-NAS: Unifying Lane-Sensitive Architecture Search and Adaptive Point Blending paper on the CULane dataset? | F1 score |
What metrics were used to measure the PINet model in the Key Points Estimation and Point Instance Segmentation Approach for Lane Detection paper on the CULane dataset? | F1 score |
What metrics were used to measure the LaneAF (ENet) model in the LaneAF: Robust Multi-Lane Detection with Affinity Fields paper on the CULane dataset? | F1 score |
What metrics were used to measure the ERFNet-H&VESA model in the Robust Lane Detection via Expanded Self Attention paper on the CULane dataset? | F1 score |
What metrics were used to measure the SwiftLane model in the SwiftLane: Towards Fast and Efficient Lane Detection paper on the CULane dataset? | F1 score |
What metrics were used to measure the ERFNet-E2E model in the End-to-End Lane Marker Detection via Row-wise Classification paper on the CULane dataset? | F1 score |
What metrics were used to measure the BézierLaneNet (ResNet-18) model in the Rethinking Efficient Lane Detection via Curve Modeling paper on the CULane dataset? | F1 score |
What metrics were used to measure the CurveLane-M model in the CurveLane-NAS: Unifying Lane-Sensitive Architecture Search and Adaptive Point Blending paper on the CULane dataset? | F1 score |
What metrics were used to measure the ERFNet-IntRA-KD (ours) model in the Inter-Region Affinity Distillation for Road Marking Segmentation paper on the CULane dataset? | F1 score |
What metrics were used to measure the ResNet34-UFAST model in the Ultra Fast Structure-aware Deep Lane Detection paper on the CULane dataset? | F1 score |
What metrics were used to measure the ResNet-101-E2E model in the End-to-End Lane Marker Detection via Row-wise Classification paper on the CULane dataset? | F1 score |
What metrics were used to measure the SCNN model in the Spatial As Deep: Spatial CNN for Traffic Scene Understanding paper on the CULane dataset? | F1 score |
What metrics were used to measure the CurveLane-S model in the CurveLane-NAS: Unifying Lane-Sensitive Architecture Search and Adaptive Point Blending paper on the CULane dataset? | F1 score |
What metrics were used to measure the ENet-SAD model in the Learning Lightweight Lane Detection CNNs by Self Attention Distillation paper on the CULane dataset? | F1 score |
What metrics were used to measure the ENet-Label model in the Agnostic Lane Detection paper on the CULane dataset? | F1 score |
What metrics were used to measure the ResNet18-UFAST model in the Ultra Fast Structure-aware Deep Lane Detection paper on the CULane dataset? | F1 score |
What metrics were used to measure the TwinLiteNet model in the TwinLiteNet: An Efficient and Lightweight Model for Driveable Area and Lane Segmentation in Self-Driving Cars paper on the BDD100K val dataset? | Accuracy, Params (M), IoU (%) |
What metrics were used to measure the YOLOPv2 model in the YOLOPv2: Better, Faster, Stronger for Panoptic Driving Perception paper on the BDD100K val dataset? | Accuracy, Params (M), IoU (%) |
What metrics were used to measure the HybridNets model in the HybridNets: End-to-End Perception Network paper on the BDD100K val dataset? | Accuracy, Params (M), IoU (%) |
What metrics were used to measure the A-YOLOM(s) model in the You Only Look at Once for Real-time and Generic Multi-Task paper on the BDD100K val dataset? | Accuracy, Params (M), IoU (%) |
What metrics were used to measure the YOLOP model in the YOLOP: You Only Look Once for Panoptic Driving Perception paper on the BDD100K val dataset? | Accuracy, Params (M), IoU (%) |
What metrics were used to measure the Enet-SAD model in the Learning Lightweight Lane Detection CNNs by Self Attention Distillation paper on the BDD100K val dataset? | Accuracy, Params (M), IoU (%) |
What metrics were used to measure the LLDN-GFC model in the K-Lane: Lidar Lane Dataset and Benchmark for Urban Roads and Highways paper on the K-Lane dataset? | F1 |
What metrics were used to measure the CANet-L model in the CANet: Curved Guide Line Network with Adaptive Decoder for Lane Detection paper on the CurveLanes dataset? | F1 score, GFLOPs, Precision, Recall, FPS |
What metrics were used to measure the CANet-M model in the CANet: Curved Guide Line Network with Adaptive Decoder for Lane Detection paper on the CurveLanes dataset? | F1 score, GFLOPs, Precision, Recall, FPS |
What metrics were used to measure the CANet-S model in the CANet: Curved Guide Line Network with Adaptive Decoder for Lane Detection paper on the CurveLanes dataset? | F1 score, GFLOPs, Precision, Recall, FPS |
What metrics were used to measure the CLRerNet-DLA34 model in the CLRerNet: Improving Confidence of Lane Detection with LaneIoU paper on the CurveLanes dataset? | F1 score, GFLOPs, Precision, Recall, FPS |
What metrics were used to measure the CLRNet-DLA34 model in the CLRerNet: Improving Confidence of Lane Detection with LaneIoU paper on the CurveLanes dataset? | F1 score, GFLOPs, Precision, Recall, FPS |
What metrics were used to measure the CondLaneNet-L(ResNet-101) model in the CondLaneNet: a Top-to-down Lane Detection Framework Based on Conditional Convolution paper on the CurveLanes dataset? | F1 score, GFLOPs, Precision, Recall, FPS |
What metrics were used to measure the CondLaneNet-M(ResNet-34) model in the CondLaneNet: a Top-to-down Lane Detection Framework Based on Conditional Convolution paper on the CurveLanes dataset? | F1 score, GFLOPs, Precision, Recall, FPS |
What metrics were used to measure the CondLaneNet-S(ResNet-18) model in the CondLaneNet: a Top-to-down Lane Detection Framework Based on Conditional Convolution paper on the CurveLanes dataset? | F1 score, GFLOPs, Precision, Recall, FPS |
What metrics were used to measure the CurveLane-L model in the CurveLane-NAS: Unifying Lane-Sensitive Architecture Search and Adaptive Point Blending paper on the CurveLanes dataset? | F1 score, GFLOPs, Precision, Recall, FPS |
What metrics were used to measure the CurveLane-M model in the CurveLane-NAS: Unifying Lane-Sensitive Architecture Search and Adaptive Point Blending paper on the CurveLanes dataset? | F1 score, GFLOPs, Precision, Recall, FPS |
What metrics were used to measure the CurveLane-S model in the CurveLane-NAS: Unifying Lane-Sensitive Architecture Search and Adaptive Point Blending paper on the CurveLanes dataset? | F1 score, GFLOPs, Precision, Recall, FPS |
What metrics were used to measure the PointLaneNet model in the CurveLane-NAS: Unifying Lane-Sensitive Architecture Search and Adaptive Point Blending paper on the CurveLanes dataset? | F1 score, GFLOPs, Precision, Recall, FPS |
What metrics were used to measure the SCNN model in the CurveLane-NAS: Unifying Lane-Sensitive Architecture Search and Adaptive Point Blending paper on the CurveLanes dataset? | F1 score, GFLOPs, Precision, Recall, FPS |
What metrics were used to measure the Enet-SAD model in the CurveLane-NAS: Unifying Lane-Sensitive Architecture Search and Adaptive Point Blending paper on the CurveLanes dataset? | F1 score, GFLOPs, Precision, Recall, FPS |
What metrics were used to measure the CANet-L(ResNet101) model in the CANet: Curved Guide Line Network with Adaptive Decoder for Lane Detection paper on the CurveLanes dataset? | F1 score, GFLOPs, Precision, Recall, FPS |
What metrics were used to measure the VPGNet model in the VPGNet: Vanishing Point Guided Network for Lane and Road Marking Detection and Recognition paper on the Caltech Lanes Washington dataset? | F1 |
What metrics were used to measure the Overfeat CNN detector + DBSCAN model in the An Empirical Evaluation of Deep Learning on Highway Driving paper on the Caltech Lanes Washington dataset? | F1 |
What metrics were used to measure the VPGNet model in the VPGNet: Vanishing Point Guided Network for Lane and Road Marking Detection and Recognition paper on the Caltech Lanes Cordova dataset? | F1 |
What metrics were used to measure the Overfeat CNN detector + DBSCAN model in the An Empirical Evaluation of Deep Learning on Highway Driving paper on the Caltech Lanes Cordova dataset? | F1 |
What metrics were used to measure the rTPNN model in the Recurrent Trend Predictive Neural Network for Multi-Sensor Fire Detection paper on the NIST Report of Test FR 4016 dataset? | F1-Score, MCC |
What metrics were used to measure the LSTM model in the Recurrent Trend Predictive Neural Network for Multi-Sensor Fire Detection paper on the NIST Report of Test FR 4016 dataset? | F1-Score, MCC |
What metrics were used to measure the MLP model in the Recurrent Trend Predictive Neural Network for Multi-Sensor Fire Detection paper on the NIST Report of Test FR 4016 dataset? | F1-Score, MCC |
What metrics were used to measure the CG-DETR model in the Correlation-guided Query-Dependency Calibration in Video Representation Learning for Temporal Grounding paper on the TvSum dataset? | mAP |
What metrics were used to measure the QD-DETR model in the Query-Dependent Video Representation for Moment Retrieval and Highlight Detection paper on the TvSum dataset? | mAP |
What metrics were used to measure the QD-DETR (only Video) model in the Query-Dependent Video Representation for Moment Retrieval and Highlight Detection paper on the TvSum dataset? | mAP |
What metrics were used to measure the UMT model in the UMT: Unified Multi-modal Transformers for Joint Video Moment Retrieval and Highlight Detection paper on the TvSum dataset? | mAP |
What metrics were used to measure the CG-DETR (w/ PT) model in the Correlation-guided Query-Dependency Calibration in Video Representation Learning for Temporal Grounding paper on the QVHighlights dataset? | mAP, Hit@1 |
What metrics were used to measure the UniVTG (w/ PT) model in the UniVTG: Towards Unified Video-Language Temporal Grounding paper on the QVHighlights dataset? | mAP, Hit@1 |
What metrics were used to measure the CG-DETR model in the Correlation-guided Query-Dependency Calibration in Video Representation Learning for Temporal Grounding paper on the QVHighlights dataset? | mAP, Hit@1 |
What metrics were used to measure the UMT (w. PT) model in the UMT: Unified Multi-modal Transformers for Joint Video Moment Retrieval and Highlight Detection paper on the QVHighlights dataset? | mAP, Hit@1 |
What metrics were used to measure the QD-DETR model in the Query-Dependent Video Representation for Moment Retrieval and Highlight Detection paper on the QVHighlights dataset? | mAP, Hit@1 |
What metrics were used to measure the QD-DETR (only Video) model in the Query-Dependent Video Representation for Moment Retrieval and Highlight Detection paper on the QVHighlights dataset? | mAP, Hit@1 |
What metrics were used to measure the QD-DETR (w/ PT) model in the Query-Dependent Video Representation for Moment Retrieval and Highlight Detection paper on the QVHighlights dataset? | mAP, Hit@1 |
What metrics were used to measure the UniVTG model in the UniVTG: Towards Unified Video-Language Temporal Grounding paper on the QVHighlights dataset? | mAP, Hit@1 |
What metrics were used to measure the UMT model in the UMT: Unified Multi-modal Transformers for Joint Video Moment Retrieval and Highlight Detection paper on the QVHighlights dataset? | mAP, Hit@1 |
What metrics were used to measure the Moment-DETR w/ PT model in the QVHighlights: Detecting Moments and Highlights in Videos via Natural Language Queries paper on the QVHighlights dataset? | mAP, Hit@1 |
What metrics were used to measure the QD-DETR (only Video w/ PT) model in the Query-Dependent Video Representation for Moment Retrieval and Highlight Detection paper on the QVHighlights dataset? | mAP, Hit@1 |
What metrics were used to measure the CG-DETR model in the Correlation-guided Query-Dependency Calibration in Video Representation Learning for Temporal Grounding paper on the YouTube Highlights dataset? | mAP |
What metrics were used to measure the UMT model in the UMT: Unified Multi-modal Transformers for Joint Video Moment Retrieval and Highlight Detection paper on the YouTube Highlights dataset? | mAP |
What metrics were used to measure the F model in the 007: Democratically Finding The Cause of Packet Drops paper on the !(()&&!|*|*| dataset? | 0..5sec |
What metrics were used to measure the LayoutLMv3 model in the LayoutLMv3: Pre-training for Document AI with Unified Text and Image Masking paper on the EPHOIE dataset? | Average F1 |
What metrics were used to measure the TubeDETR model in the TubeDETR: Spatio-Temporal Video Grounding with Transformers paper on the HC-STVG1 dataset? | m_vIoU, vIoU@0.3, vIoU@0.5 |
What metrics were used to measure the STVGFormer model in the STVGFormer: Spatio-Temporal Video Grounding with Static-Dynamic Cross-Modal Understanding paper on the HC-STVG2 dataset? | Val m_vIoU, Val vIoU@0.3, Val vIoU@0.5 |
What metrics were used to measure the TubeDETR model in the TubeDETR: Spatio-Temporal Video Grounding with Transformers paper on the HC-STVG2 dataset? | Val m_vIoU, Val vIoU@0.3, Val vIoU@0.5 |
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