prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the PointConT model in the Point Cloud Classification Using Content-based Transformer via Clustering in Feature Space paper on the ScanObjectNN dataset? | Overall Accuracy, Mean Accuracy, OBJ-BG (OA), OBJ-ONLY (OA), FLOPs, Number of params |
What metrics were used to measure the Point-RAE (no voting) model in the Regress Before Construct: Regress Autoencoder for Point Cloud Self-supervised Learning paper on the ScanObjectNN dataset? | Overall Accuracy, Mean Accuracy, OBJ-BG (OA), OBJ-ONLY (OA), FLOPs, Number of params |
What metrics were used to measure the I2P-MAE (no voting) model in the Learning 3D Representations from 2D Pre-trained Models via Image-to-Point Masked Autoencoders paper on the ScanObjectNN dataset? | Overall Accuracy, Mean Accuracy, OBJ-BG (OA), OBJ-ONLY (OA), FLOPs, Number of params |
What metrics were used to measure the ULIP + PointNeXt model in the ULIP: Learning a Unified Representation of Language, Images, and Point Clouds for 3D Understanding paper on the ScanObjectNN dataset? | Overall Accuracy, Mean Accuracy, OBJ-BG (OA), OBJ-ONLY (OA), FLOPs, Number of params |
What metrics were used to measure the PointMLP∗ + JM3D model in the Beyond First Impressions: Integrating Joint Multi-modal Cues for Comprehensive 3D Representation paper on the ScanObjectNN dataset? | Overall Accuracy, Mean Accuracy, OBJ-BG (OA), OBJ-ONLY (OA), FLOPs, Number of params |
What metrics were used to measure the ULIP + PointMLP model in the ULIP: Learning a Unified Representation of Language, Images, and Point Clouds for 3D Understanding paper on the ScanObjectNN dataset? | Overall Accuracy, Mean Accuracy, OBJ-BG (OA), OBJ-ONLY (OA), FLOPs, Number of params |
What metrics were used to measure the P2P model in the P2P: Tuning Pre-trained Image Models for Point Cloud Analysis with Point-to-Pixel Prompting paper on the ScanObjectNN dataset? | Overall Accuracy, Mean Accuracy, OBJ-BG (OA), OBJ-ONLY (OA), FLOPs, Number of params |
What metrics were used to measure the ACT model in the Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning? paper on the ScanObjectNN dataset? | Overall Accuracy, Mean Accuracy, OBJ-BG (OA), OBJ-ONLY (OA), FLOPs, Number of params |
What metrics were used to measure the ULIP-2 + Point-BERT model in the ULIP-2: Towards Scalable Multimodal Pre-training for 3D Understanding paper on the ScanObjectNN dataset? | Overall Accuracy, Mean Accuracy, OBJ-BG (OA), OBJ-ONLY (OA), FLOPs, Number of params |
What metrics were used to measure the PointNeXt+Local model in the Local Neighborhood Features for 3D Classification paper on the ScanObjectNN dataset? | Overall Accuracy, Mean Accuracy, OBJ-BG (OA), OBJ-ONLY (OA), FLOPs, Number of params |
What metrics were used to measure the SPoTr model in the Self-positioning Point-based Transformer for Point Cloud Understanding paper on the ScanObjectNN dataset? | Overall Accuracy, Mean Accuracy, OBJ-BG (OA), OBJ-ONLY (OA), FLOPs, Number of params |
What metrics were used to measure the IDPT model in the Instance-aware Dynamic Prompt Tuning for Pre-trained Point Cloud Models paper on the ScanObjectNN dataset? | Overall Accuracy, Mean Accuracy, OBJ-BG (OA), OBJ-ONLY (OA), FLOPs, Number of params |
What metrics were used to measure the PointMLP+TAP model in the Take-A-Photo: 3D-to-2D Generative Pre-training of Point Cloud Models paper on the ScanObjectNN dataset? | Overall Accuracy, Mean Accuracy, OBJ-BG (OA), OBJ-ONLY (OA), FLOPs, Number of params |
What metrics were used to measure the PointNeXt+GAM model in the $(0, 4)$ dualities paper on the ScanObjectNN dataset? | Overall Accuracy, Mean Accuracy, OBJ-BG (OA), OBJ-ONLY (OA), FLOPs, Number of params |
What metrics were used to measure the PointNeXt+HyCoRe model in the Rethinking the compositionality of point clouds through regularization in the hyperbolic space paper on the ScanObjectNN dataset? | Overall Accuracy, Mean Accuracy, OBJ-BG (OA), OBJ-ONLY (OA), FLOPs, Number of params |
What metrics were used to measure the ACT (no voting) model in the Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning? paper on the ScanObjectNN dataset? | Overall Accuracy, Mean Accuracy, OBJ-BG (OA), OBJ-ONLY (OA), FLOPs, Number of params |
What metrics were used to measure the PointNeXt model in the PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies paper on the ScanObjectNN dataset? | Overall Accuracy, Mean Accuracy, OBJ-BG (OA), OBJ-ONLY (OA), FLOPs, Number of params |
What metrics were used to measure the PointConT (no voting) model in the Point Cloud Classification Using Content-based Transformer via Clustering in Feature Space paper on the ScanObjectNN dataset? | Overall Accuracy, Mean Accuracy, OBJ-BG (OA), OBJ-ONLY (OA), FLOPs, Number of params |
What metrics were used to measure the PointVector-S model in the PointVector: A Vector Representation In Point Cloud Analysis paper on the ScanObjectNN dataset? | Overall Accuracy, Mean Accuracy, OBJ-BG (OA), OBJ-ONLY (OA), FLOPs, Number of params |
What metrics were used to measure the point2vec model in the Point2Vec for Self-Supervised Representation Learning on Point Clouds paper on the ScanObjectNN dataset? | Overall Accuracy, Mean Accuracy, OBJ-BG (OA), OBJ-ONLY (OA), FLOPs, Number of params |
What metrics were used to measure the PointStack model in the Advanced Feature Learning on Point Clouds using Multi-resolution Features and Learnable Pooling paper on the ScanObjectNN dataset? | Overall Accuracy, Mean Accuracy, OBJ-BG (OA), OBJ-ONLY (OA), FLOPs, Number of params |
What metrics were used to measure the Point-PN model in the Parameter is Not All You Need: Starting from Non-Parametric Networks for 3D Point Cloud Analysis paper on the ScanObjectNN dataset? | Overall Accuracy, Mean Accuracy, OBJ-BG (OA), OBJ-ONLY (OA), FLOPs, Number of params |
What metrics were used to measure the PointCMT model in the Let Images Give You More:Point Cloud Cross-Modal Training for Shape Analysis paper on the ScanObjectNN dataset? | Overall Accuracy, Mean Accuracy, OBJ-BG (OA), OBJ-ONLY (OA), FLOPs, Number of params |
What metrics were used to measure the Point-M2AE model in the Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-training paper on the ScanObjectNN dataset? | Overall Accuracy, Mean Accuracy, OBJ-BG (OA), OBJ-ONLY (OA), FLOPs, Number of params |
What metrics were used to measure the ULIP + PointBERT model in the ULIP: Learning a Unified Representation of Language, Images, and Point Clouds for 3D Understanding paper on the ScanObjectNN dataset? | Overall Accuracy, Mean Accuracy, OBJ-BG (OA), OBJ-ONLY (OA), FLOPs, Number of params |
What metrics were used to measure the RepSurf-U (2x) model in the Surface Representation for Point Clouds paper on the ScanObjectNN dataset? | Overall Accuracy, Mean Accuracy, OBJ-BG (OA), OBJ-ONLY (OA), FLOPs, Number of params |
What metrics were used to measure the PointMLP model in the Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework paper on the ScanObjectNN dataset? | Overall Accuracy, Mean Accuracy, OBJ-BG (OA), OBJ-ONLY (OA), FLOPs, Number of params |
What metrics were used to measure the Point-MAE model in the Masked Autoencoders for Point Cloud Self-supervised Learning paper on the ScanObjectNN dataset? | Overall Accuracy, Mean Accuracy, OBJ-BG (OA), OBJ-ONLY (OA), FLOPs, Number of params |
What metrics were used to measure the MVTN+SimpleView++ model in the SimpleView++: Neighborhood Views for Point Cloud Classification paper on the ScanObjectNN dataset? | Overall Accuracy, Mean Accuracy, OBJ-BG (OA), OBJ-ONLY (OA), FLOPs, Number of params |
What metrics were used to measure the DeltaConv model in the DeltaConv: Anisotropic Operators for Geometric Deep Learning on Point Clouds paper on the ScanObjectNN dataset? | Overall Accuracy, Mean Accuracy, OBJ-BG (OA), OBJ-ONLY (OA), FLOPs, Number of params |
What metrics were used to measure the RepSurf-U model in the Surface Representation for Point Clouds paper on the ScanObjectNN dataset? | Overall Accuracy, Mean Accuracy, OBJ-BG (OA), OBJ-ONLY (OA), FLOPs, Number of params |
What metrics were used to measure the APP-Net model in the APP-Net: Auxiliary-point-based Push and Pull Operations for Efficient Point Cloud Classification paper on the ScanObjectNN dataset? | Overall Accuracy, Mean Accuracy, OBJ-BG (OA), OBJ-ONLY (OA), FLOPs, Number of params |
What metrics were used to measure the PointMLP-elite model in the Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework paper on the ScanObjectNN dataset? | Overall Accuracy, Mean Accuracy, OBJ-BG (OA), OBJ-ONLY (OA), FLOPs, Number of params |
What metrics were used to measure the PointNet++ + SageMix model in the SageMix: Saliency-Guided Mixup for Point Clouds paper on the ScanObjectNN dataset? | Overall Accuracy, Mean Accuracy, OBJ-BG (OA), OBJ-ONLY (OA), FLOPs, Number of params |
What metrics were used to measure the DGCNN + SageMix model in the SageMix: Saliency-Guided Mixup for Point Clouds paper on the ScanObjectNN dataset? | Overall Accuracy, Mean Accuracy, OBJ-BG (OA), OBJ-ONLY (OA), FLOPs, Number of params |
What metrics were used to measure the Point-TnT model in the Points to Patches: Enabling the Use of Self-Attention for 3D Shape Recognition paper on the ScanObjectNN dataset? | Overall Accuracy, Mean Accuracy, OBJ-BG (OA), OBJ-ONLY (OA), FLOPs, Number of params |
What metrics were used to measure the Point-BERT model in the Point-BERT: Pre-training 3D Point Cloud Transformers with Masked Point Modeling paper on the ScanObjectNN dataset? | Overall Accuracy, Mean Accuracy, OBJ-BG (OA), OBJ-ONLY (OA), FLOPs, Number of params |
What metrics were used to measure the MVTN model in the MVTN: Multi-View Transformation Network for 3D Shape Recognition paper on the ScanObjectNN dataset? | Overall Accuracy, Mean Accuracy, OBJ-BG (OA), OBJ-ONLY (OA), FLOPs, Number of params |
What metrics were used to measure the PRA-Net model in the PRA-Net: Point Relation-Aware Network for 3D Point Cloud Analysis paper on the ScanObjectNN dataset? | Overall Accuracy, Mean Accuracy, OBJ-BG (OA), OBJ-ONLY (OA), FLOPs, Number of params |
What metrics were used to measure the DynamicScale model in the Dynamic Local Geometry Capture in 3D PointCloud Classification paper on the ScanObjectNN dataset? | Overall Accuracy, Mean Accuracy, OBJ-BG (OA), OBJ-ONLY (OA), FLOPs, Number of params |
What metrics were used to measure the PatchAugment model in the PatchAugment: Local Neighborhood Augmentation in Point Cloud Classification paper on the ScanObjectNN dataset? | Overall Accuracy, Mean Accuracy, OBJ-BG (OA), OBJ-ONLY (OA), FLOPs, Number of params |
What metrics were used to measure the GBNet model in the Geometric Back-projection Network for Point Cloud Classification paper on the ScanObjectNN dataset? | Overall Accuracy, Mean Accuracy, OBJ-BG (OA), OBJ-ONLY (OA), FLOPs, Number of params |
What metrics were used to measure the SimpleView model in the Revisiting Point Cloud Classification with a Simple and Effective Baseline paper on the ScanObjectNN dataset? | Overall Accuracy, Mean Accuracy, OBJ-BG (OA), OBJ-ONLY (OA), FLOPs, Number of params |
What metrics were used to measure the DRNet model in the Dense-Resolution Network for Point Cloud Classification and Segmentation paper on the ScanObjectNN dataset? | Overall Accuracy, Mean Accuracy, OBJ-BG (OA), OBJ-ONLY (OA), FLOPs, Number of params |
What metrics were used to measure the PointCNN model in the PointCNN: Convolution On $\mathcal{X}$-Transformed Points paper on the ScanObjectNN dataset? | Overall Accuracy, Mean Accuracy, OBJ-BG (OA), OBJ-ONLY (OA), FLOPs, Number of params |
What metrics were used to measure the DGCNN model in the Dynamic Graph CNN for Learning on Point Clouds paper on the ScanObjectNN dataset? | Overall Accuracy, Mean Accuracy, OBJ-BG (OA), OBJ-ONLY (OA), FLOPs, Number of params |
What metrics were used to measure the PointNet++ model in the PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space paper on the ScanObjectNN dataset? | Overall Accuracy, Mean Accuracy, OBJ-BG (OA), OBJ-ONLY (OA), FLOPs, Number of params |
What metrics were used to measure the SpiderCNN model in the SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters paper on the ScanObjectNN dataset? | Overall Accuracy, Mean Accuracy, OBJ-BG (OA), OBJ-ONLY (OA), FLOPs, Number of params |
What metrics were used to measure the PointNet model in the PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation paper on the ScanObjectNN dataset? | Overall Accuracy, Mean Accuracy, OBJ-BG (OA), OBJ-ONLY (OA), FLOPs, Number of params |
What metrics were used to measure the ExpPoint-MAE model in the ExpPoint-MAE: Better interpretability and performance for self-supervised point cloud transformers paper on the ScanObjectNN dataset? | Overall Accuracy, Mean Accuracy, OBJ-BG (OA), OBJ-ONLY (OA), FLOPs, Number of params |
What metrics were used to measure the PCT+PointCutMix-R model in the Benchmarking Robustness of 3D Point Cloud Recognition Against Common Corruptions paper on the ModelNet40-C dataset? | Error Rate |
What metrics were used to measure the PCT+RSMix model in the Regularization Strategy for Point Cloud via Rigidly Mixed Sample paper on the ModelNet40-C dataset? | Error Rate |
What metrics were used to measure the DGCNN+PointCutMix-R model in the PointCutMix: Regularization Strategy for Point Cloud Classification paper on the ModelNet40-C dataset? | Error Rate |
What metrics were used to measure the PointNet++/+PointCutMix-R model in the PointCutMix: Regularization Strategy for Point Cloud Classification paper on the ModelNet40-C dataset? | Error Rate |
What metrics were used to measure the PointNet++/+PointMixup model in the PointMixup: Augmentation for Point Clouds paper on the ModelNet40-C dataset? | Error Rate |
What metrics were used to measure the PointNet++ model in the PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space paper on the ModelNet40-C dataset? | Error Rate |
What metrics were used to measure the PCT model in the PCT: Point cloud transformer paper on the ModelNet40-C dataset? | Error Rate |
What metrics were used to measure the DGCNN model in the Dynamic Graph CNN for Learning on Point Clouds paper on the ModelNet40-C dataset? | Error Rate |
What metrics were used to measure the RSCNN model in the Relation-Shape Convolutional Neural Network for Point Cloud Analysis paper on the ModelNet40-C dataset? | Error Rate |
What metrics were used to measure the SimpleView model in the Revisiting Point Cloud Classification with a Simple and Effective Baseline paper on the ModelNet40-C dataset? | Error Rate |
What metrics were used to measure the PointNet model in the PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation paper on the ModelNet40-C dataset? | Error Rate |
What metrics were used to measure the ECC model in the Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs paper on the Sydney Urban Objects dataset? | F1 |
What metrics were used to measure the ORION model in the Orientation-boosted Voxel Nets for 3D Object Recognition paper on the Sydney Urban Objects dataset? | F1 |
What metrics were used to measure the G3DNet-18 MLP Fine-Tuned, Vote model in the General-Purpose Deep Point Cloud Feature Extractor paper on the Sydney Urban Objects dataset? | F1 |
What metrics were used to measure the GSNet model in the GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware Supervision paper on the ApolloCar3D dataset? | A3DP |
What metrics were used to measure the IM3D model in the Holistic 3D Scene Understanding from a Single Image with Implicit Representation paper on the Pix3D dataset? | CD, EMD, IoU |
What metrics were used to measure the MGN model in the Total3DUnderstanding: Joint Layout, Object Pose and Mesh Reconstruction for Indoor Scenes from a Single Image paper on the Pix3D dataset? | CD, EMD, IoU |
What metrics were used to measure the TMN model in the Deep Mesh Reconstruction from Single RGB Images via Topology Modification Networks paper on the Pix3D dataset? | CD, EMD, IoU |
What metrics were used to measure the MarrNet extension (w/ Pose) model in the Pix3D: Dataset and Methods for Single-Image 3D Shape Modeling paper on the Pix3D dataset? | CD, EMD, IoU |
What metrics were used to measure the AtlasNet model in the AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation paper on the Pix3D dataset? | CD, EMD, IoU |
What metrics were used to measure the DocTr++ model in the Deep Unrestricted Document Image Rectification paper on the DocUNet dataset? | LD |
What metrics were used to measure the DewarpNet model in the DewarpNet: Single-Image Document Unwarping With Stacked 3D and 2D Regression Networks paper on the DocUNet dataset? | LD |
What metrics were used to measure the Ours model in the Revisiting Document Image Dewarping by Grid Regularization paper on the DocUNet dataset? | LD |
What metrics were used to measure the RectiNet model in the A Gated and Bifurcated Stacked U-Net Module for Document Image Dewarping paper on the DocUNet dataset? | LD |
What metrics were used to measure the DocUNet model in the DocUNet: Document Image Unwarping via a Stacked U-Net paper on the DocUNet dataset? | LD |
What metrics were used to measure the RectiNet model in the A Gated and Bifurcated Stacked U-Net Module for Document Image Dewarping paper on the DocUNet dataset? | SSIM |
What metrics were used to measure the RectiNet-v2 model in the RectiNet-v2: A stacked network architecture for document image dewarping paper on the DocUNet dataset? | SSIM |
What metrics were used to measure the DewarpNet model in the DewarpNet: Single-Image Document Unwarping With Stacked 3D and 2D Regression Networks paper on the DocUNet dataset? | SSIM |
What metrics were used to measure the DocUNet model in the DocUNet: Document Image Unwarping via a Stacked U-Net paper on the DocUNet dataset? | SSIM |
What metrics were used to measure the FOSTER model in the FOSTER: Feature Boosting and Compression for Class-Incremental Learning paper on the ImageNet-100 - 50 classes + 5 steps of 10 classes dataset? | Average Incremental Accuracy |
What metrics were used to measure the RMM (ResNet-18) model in the RMM: Reinforced Memory Management for Class-Incremental Learning paper on the ImageNet-100 - 50 classes + 5 steps of 10 classes dataset? | Average Incremental Accuracy |
What metrics were used to measure the CCIL-SD model in the Essentials for Class Incremental Learning paper on the ImageNet-100 - 50 classes + 5 steps of 10 classes dataset? | Average Incremental Accuracy |
What metrics were used to measure the PODNet model in the PODNet: Pooled Outputs Distillation for Small-Tasks Incremental Learning paper on the ImageNet-100 - 50 classes + 5 steps of 10 classes dataset? | Average Incremental Accuracy |
What metrics were used to measure the iCaRL* model in the iCaRL: Incremental Classifier and Representation Learning paper on the ImageNet-100 - 50 classes + 5 steps of 10 classes dataset? | Average Incremental Accuracy |
What metrics were used to measure the TCIL model in the Resolving Task Confusion in Dynamic Expansion Architectures for Class Incremental Learning paper on the CIFAR-100 - 50 classes + 5 steps of 10 classes dataset? | Average Incremental Accuracy, Final Accuracy |
What metrics were used to measure the TCIL-Lite model in the Resolving Task Confusion in Dynamic Expansion Architectures for Class Incremental Learning paper on the CIFAR-100 - 50 classes + 5 steps of 10 classes dataset? | Average Incremental Accuracy, Final Accuracy |
What metrics were used to measure the DER(Standard ResNet-18) model in the DER: Dynamically Expandable Representation for Class Incremental Learning paper on the CIFAR-100 - 50 classes + 5 steps of 10 classes dataset? | Average Incremental Accuracy, Final Accuracy |
What metrics were used to measure the D3Former model in the D3Former: Debiased Dual Distilled Transformer for Incremental Learning paper on the CIFAR-100 - 50 classes + 5 steps of 10 classes dataset? | Average Incremental Accuracy, Final Accuracy |
What metrics were used to measure the FOSTER model in the FOSTER: Feature Boosting and Compression for Class-Incremental Learning paper on the CIFAR-100 - 50 classes + 5 steps of 10 classes dataset? | Average Incremental Accuracy, Final Accuracy |
What metrics were used to measure the RMM (Modified ResNet-32) model in the RMM: Reinforced Memory Management for Class-Incremental Learning paper on the CIFAR-100 - 50 classes + 5 steps of 10 classes dataset? | Average Incremental Accuracy, Final Accuracy |
What metrics were used to measure the DER(Modified Res-32) model in the DER: Dynamically Expandable Representation for Class Incremental Learning paper on the CIFAR-100 - 50 classes + 5 steps of 10 classes dataset? | Average Incremental Accuracy, Final Accuracy |
What metrics were used to measure the CCIL-SD model in the Essentials for Class Incremental Learning paper on the CIFAR-100 - 50 classes + 5 steps of 10 classes dataset? | Average Incremental Accuracy, Final Accuracy |
What metrics were used to measure the PODNet (CNN) model in the PODNet: Pooled Outputs Distillation for Small-Tasks Incremental Learning paper on the CIFAR-100 - 50 classes + 5 steps of 10 classes dataset? | Average Incremental Accuracy, Final Accuracy |
What metrics were used to measure the UCIR (CNN)* model in the Learning a Unified Classifier Incrementally via Rebalancing paper on the CIFAR-100 - 50 classes + 5 steps of 10 classes dataset? | Average Incremental Accuracy, Final Accuracy |
What metrics were used to measure the UCIR (NME)* model in the Learning a Unified Classifier Incrementally via Rebalancing paper on the CIFAR-100 - 50 classes + 5 steps of 10 classes dataset? | Average Incremental Accuracy, Final Accuracy |
What metrics were used to measure the iCaRL* model in the iCaRL: Incremental Classifier and Representation Learning paper on the CIFAR-100 - 50 classes + 5 steps of 10 classes dataset? | Average Incremental Accuracy, Final Accuracy |
What metrics were used to measure the BiC model in the Large Scale Incremental Learning paper on the CIFAR-100 - 50 classes + 5 steps of 10 classes dataset? | Average Incremental Accuracy, Final Accuracy |
What metrics were used to measure the PPCA-SWSL model in the Scalable Learning with Incremental Probabilistic PCA paper on the CIFAR-100 - 50 classes + 5 steps of 10 classes dataset? | Average Incremental Accuracy, Final Accuracy |
What metrics were used to measure the PPCA-CLIP model in the Scalable Learning with Incremental Probabilistic PCA paper on the CIFAR-100 - 50 classes + 5 steps of 10 classes dataset? | Average Incremental Accuracy, Final Accuracy |
What metrics were used to measure the RMM (ResNet-18) model in the RMM: Reinforced Memory Management for Class-Incremental Learning paper on the ImageNet - 500 classes + 10 steps of 50 classes dataset? | Average Incremental Accuracy, Final Accuracy |
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