prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the point2vec model in the Point2Vec for Self-Supervised Representation Learning on Point Clouds paper on the ModelNet40 dataset? | Overall Accuracy, Mean Accuracy, Number of params, FLOPs, Mean class accuracy |
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 ModelNet40 dataset? | Overall Accuracy, Mean Accuracy, Number of params, FLOPs, Mean class accuracy |
What metrics were used to measure the ReCon model in the Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining paper on the ModelNet40 dataset? | Overall Accuracy, Mean Accuracy, Number of params, FLOPs, Mean class accuracy |
What metrics were used to measure the RepSurf-U model in the Surface Representation for Point Clouds paper on the ModelNet40 dataset? | Overall Accuracy, Mean Accuracy, Number of params, FLOPs, Mean class accuracy |
What metrics were used to measure the PointMLP+HyCoRe model in the Rethinking the compositionality of point clouds through regularization in the hyperbolic space paper on the ModelNet40 dataset? | Overall Accuracy, Mean Accuracy, Number of params, FLOPs, Mean class accuracy |
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 ModelNet40 dataset? | Overall Accuracy, Mean Accuracy, Number of params, FLOPs, Mean class accuracy |
What metrics were used to measure the PointNet2+PointCMT model in the Let Images Give You More:Point Cloud Cross-Modal Training for Shape Analysis paper on the ModelNet40 dataset? | Overall Accuracy, Mean Accuracy, Number of params, FLOPs, Mean class accuracy |
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 ModelNet40 dataset? | Overall Accuracy, Mean Accuracy, Number of params, FLOPs, Mean class accuracy |
What metrics were used to measure the IAE + DGCNN model in the Implicit Autoencoder for Point-Cloud Self-Supervised Representation Learning paper on the ModelNet40 dataset? | Overall Accuracy, Mean Accuracy, Number of params, FLOPs, Mean class accuracy |
What metrics were used to measure the PTv2 model in the Point Transformer V2: Grouped Vector Attention and Partition-based Pooling paper on the ModelNet40 dataset? | Overall Accuracy, Mean Accuracy, Number of params, FLOPs, Mean class accuracy |
What metrics were used to measure the CurveNet model in the Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis paper on the ModelNet40 dataset? | Overall Accuracy, Mean Accuracy, Number of params, FLOPs, Mean class accuracy |
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 ModelNet40 dataset? | Overall Accuracy, Mean Accuracy, Number of params, FLOPs, Mean class accuracy |
What metrics were used to measure the RPNet model in the Learning Inner-Group Relations on Point Clouds paper on the ModelNet40 dataset? | Overall Accuracy, Mean Accuracy, Number of params, FLOPs, Mean class accuracy |
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 ModelNet40 dataset? | Overall Accuracy, Mean Accuracy, Number of params, FLOPs, Mean class accuracy |
What metrics were used to measure the Point-RAE model in the Regress Before Construct: Regress Autoencoder for Point Cloud Self-supervised Learning paper on the ModelNet40 dataset? | Overall Accuracy, Mean Accuracy, Number of params, FLOPs, Mean class accuracy |
What metrics were used to measure the DeLA model in the Decoupled Local Aggregation for Point Cloud Learning paper on the ModelNet40 dataset? | Overall Accuracy, Mean Accuracy, Number of params, FLOPs, Mean class accuracy |
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 ModelNet40 dataset? | Overall Accuracy, Mean Accuracy, Number of params, FLOPs, Mean class accuracy |
What metrics were used to measure the PointNeXt model in the PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies paper on the ModelNet40 dataset? | Overall Accuracy, Mean Accuracy, Number of params, FLOPs, Mean class accuracy |
What metrics were used to measure the Point Voxel Transformer model in the PVT: Point-Voxel Transformer for Point Cloud Learning paper on the ModelNet40 dataset? | Overall Accuracy, Mean Accuracy, Number of params, FLOPs, Mean class accuracy |
What metrics were used to measure the Point-MAE model in the Masked Autoencoders for Point Cloud Self-supervised Learning paper on the ModelNet40 dataset? | Overall Accuracy, Mean Accuracy, Number of params, FLOPs, Mean class accuracy |
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 ModelNet40 dataset? | Overall Accuracy, Mean Accuracy, Number of params, FLOPs, Mean class accuracy |
What metrics were used to measure the PointCoT model in the Point Cloud Classification Using Content-based Transformer via Clustering in Feature Space paper on the ModelNet40 dataset? | Overall Accuracy, Mean Accuracy, Number of params, FLOPs, Mean class accuracy |
What metrics were used to measure the MKConv model in the MKConv: Multidimensional Feature Representation for Point Cloud Analysis paper on the ModelNet40 dataset? | Overall Accuracy, Mean Accuracy, Number of params, FLOPs, Mean class accuracy |
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 dataset? | Overall Accuracy, Mean Accuracy, Number of params, FLOPs, Mean class accuracy |
What metrics were used to measure the PAConv model in the PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds paper on the ModelNet40 dataset? | Overall Accuracy, Mean Accuracy, Number of params, FLOPs, Mean class accuracy |
What metrics were used to measure the SimpleView-DGCNN model in the Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline paper on the ModelNet40 dataset? | Overall Accuracy, Mean Accuracy, Number of params, FLOPs, Mean class accuracy |
What metrics were used to measure the MVTN model in the MVTN: Multi-View Transformation Network for 3D Shape Recognition paper on the ModelNet40 dataset? | Overall Accuracy, Mean Accuracy, Number of params, FLOPs, Mean class accuracy |
What metrics were used to measure the Feature Geometric Net (FG-Net) model in the FG-Net: Fast Large-Scale LiDAR Point Clouds Understanding Network Leveraging Correlated Feature Mining and Geometric-Aware Modelling paper on the ModelNet40 dataset? | Overall Accuracy, Mean Accuracy, Number of params, FLOPs, Mean class accuracy |
What metrics were used to measure the GBNet model in the Geometric Back-projection Network for Point Cloud Classification paper on the ModelNet40 dataset? | Overall Accuracy, Mean Accuracy, Number of params, FLOPs, Mean class accuracy |
What metrics were used to measure the DeltaConv model in the DeltaConv: Anisotropic Operators for Geometric Deep Learning on Point Clouds paper on the ModelNet40 dataset? | Overall Accuracy, Mean Accuracy, Number of params, FLOPs, Mean class accuracy |
What metrics were used to measure the GDANet model in the Learning Geometry-Disentangled Representation for Complementary Understanding of 3D Object Point Cloud paper on the ModelNet40 dataset? | Overall Accuracy, Mean Accuracy, Number of params, FLOPs, Mean class accuracy |
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 ModelNet40 dataset? | Overall Accuracy, Mean Accuracy, Number of params, FLOPs, Mean class accuracy |
What metrics were used to measure the APES (global-based downsample) model in the Attention-based Point Cloud Edge Sampling paper on the ModelNet40 dataset? | Overall Accuracy, Mean Accuracy, Number of params, FLOPs, Mean class accuracy |
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 ModelNet40 dataset? | Overall Accuracy, Mean Accuracy, Number of params, FLOPs, Mean class accuracy |
What metrics were used to measure the PointSCNet model in the PointSCNet: Point Cloud Structure and Correlation Learning Based on Space Filling Curve-Guided Sampling paper on the ModelNet40 dataset? | Overall Accuracy, Mean Accuracy, Number of params, FLOPs, Mean class accuracy |
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 ModelNet40 dataset? | Overall Accuracy, Mean Accuracy, Number of params, FLOPs, Mean class accuracy |
What metrics were used to measure the PointTransformer model in the Point Transformer paper on the ModelNet40 dataset? | Overall Accuracy, Mean Accuracy, Number of params, FLOPs, Mean class accuracy |
What metrics were used to measure the PointMixer model in the PointMixer: MLP-Mixer for Point Cloud Understanding paper on the ModelNet40 dataset? | Overall Accuracy, Mean Accuracy, Number of params, FLOPs, Mean class accuracy |
What metrics were used to measure the DeepGCN model in the DeepGCNs: Making GCNs Go as Deep as CNNs paper on the ModelNet40 dataset? | Overall Accuracy, Mean Accuracy, Number of params, FLOPs, Mean class accuracy |
What metrics were used to measure the LCPFormer model in the LCPFormer: Towards Effective 3D Point Cloud Analysis via Local Context Propagation in Transformers paper on the ModelNet40 dataset? | Overall Accuracy, Mean Accuracy, Number of params, FLOPs, Mean class accuracy |
What metrics were used to measure the DGCNN + SageMix model in the SageMix: Saliency-Guided Mixup for Point Clouds paper on the ModelNet40 dataset? | Overall Accuracy, Mean Accuracy, Number of params, FLOPs, Mean class accuracy |
What metrics were used to measure the PointVector-S model in the PointVector: A Vector Representation In Point Cloud Analysis paper on the ModelNet40 dataset? | Overall Accuracy, Mean Accuracy, Number of params, FLOPs, Mean class accuracy |
What metrics were used to measure the RSMix model in the Regularization Strategy for Point Cloud via Rigidly Mixed Sample paper on the ModelNet40 dataset? | Overall Accuracy, Mean Accuracy, Number of params, FLOPs, Mean class accuracy |
What metrics were used to measure the APES (local-based downsample) model in the Attention-based Point Cloud Edge Sampling paper on the ModelNet40 dataset? | Overall Accuracy, Mean Accuracy, Number of params, FLOPs, Mean class accuracy |
What metrics were used to measure the DSPoint model in the DSPoint: Dual-scale Point Cloud Recognition with High-frequency Fusion paper on the ModelNet40 dataset? | Overall Accuracy, Mean Accuracy, Number of params, FLOPs, Mean class accuracy |
What metrics were used to measure the ULIP + PointNet++(ssg) model in the ULIP: Learning a Unified Representation of Language, Images, and Point Clouds for 3D Understanding paper on the ModelNet40 dataset? | Overall Accuracy, Mean Accuracy, Number of params, FLOPs, Mean class accuracy |
What metrics were used to measure the PointCutmix model in the PointCutMix: Regularization Strategy for Point Cloud Classification paper on the ModelNet40 dataset? | Overall Accuracy, Mean Accuracy, Number of params, FLOPs, Mean class accuracy |
What metrics were used to measure the 3DMedPT model in the 3D Medical Point Transformer: Introducing Convolution to Attention Networks for Medical Point Cloud Analysis paper on the ModelNet40 dataset? | Overall Accuracy, Mean Accuracy, Number of params, FLOPs, Mean class accuracy |
What metrics were used to measure the DGCNN + MD model in the Self-supervised Point Cloud Representation Learning via Separating Mixed Shapes paper on the ModelNet40 dataset? | Overall Accuracy, Mean Accuracy, Number of params, FLOPs, Mean class accuracy |
What metrics were used to measure the OGNet + MD model in the Self-supervised Point Cloud Representation Learning via Separating Mixed Shapes paper on the ModelNet40 dataset? | Overall Accuracy, Mean Accuracy, Number of params, FLOPs, Mean class accuracy |
What metrics were used to measure the OG-Net-Small model in the Parameter-Efficient Person Re-identification in the 3D Space paper on the ModelNet40 dataset? | Overall Accuracy, Mean Accuracy, Number of params, FLOPs, Mean class accuracy |
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 ModelNet40 dataset? | Overall Accuracy, Mean Accuracy, Number of params, FLOPs, Mean class accuracy |
What metrics were used to measure the PointNet++ + SageMix model in the SageMix: Saliency-Guided Mixup for Point Clouds paper on the ModelNet40 dataset? | Overall Accuracy, Mean Accuracy, Number of params, FLOPs, Mean class accuracy |
What metrics were used to measure the PointASNL model in the PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling paper on the ModelNet40 dataset? | Overall Accuracy, Mean Accuracy, Number of params, FLOPs, Mean class accuracy |
What metrics were used to measure the Point Cloud Transformer model in the PCT: Point cloud transformer paper on the ModelNet40 dataset? | Overall Accuracy, Mean Accuracy, Number of params, FLOPs, Mean class accuracy |
What metrics were used to measure the DRNet model in the Dense-Resolution Network for Point Cloud Classification and Segmentation paper on the ModelNet40 dataset? | Overall Accuracy, Mean Accuracy, Number of params, FLOPs, Mean class accuracy |
What metrics were used to measure the ShellNet model in the ShellNet: Efficient Point Cloud Convolutional Neural Networks using Concentric Shells Statistics paper on the ModelNet40 dataset? | Overall Accuracy, Mean Accuracy, Number of params, FLOPs, Mean class accuracy |
What metrics were used to measure the STRL + DGCNN model in the Spatio-temporal Self-Supervised Representation Learning for 3D Point Clouds paper on the ModelNet40 dataset? | Overall Accuracy, Mean Accuracy, Number of params, FLOPs, Mean class accuracy |
What metrics were used to measure the PatchAugment+DGCNN model in the paper on the ModelNet40 dataset? | Overall Accuracy, Mean Accuracy, Number of params, FLOPs, Mean class accuracy |
What metrics were used to measure the PointManifold model in the PointManifold: Using Manifold Learning for Point Cloud Classification paper on the ModelNet40 dataset? | Overall Accuracy, Mean Accuracy, Number of params, FLOPs, Mean class accuracy |
What metrics were used to measure the InterpCNN model in the Interpolated Convolutional Networks for 3D Point Cloud Understanding paper on the ModelNet40 dataset? | Overall Accuracy, Mean Accuracy, Number of params, FLOPs, Mean class accuracy |
What metrics were used to measure the DGCNN model in the Dynamic Graph CNN for Learning on Point Clouds paper on the ModelNet40 dataset? | Overall Accuracy, Mean Accuracy, Number of params, FLOPs, Mean class accuracy |
What metrics were used to measure the KPConv model in the KPConv: Flexible and Deformable Convolution for Point Clouds paper on the ModelNet40 dataset? | Overall Accuracy, Mean Accuracy, Number of params, FLOPs, Mean class accuracy |
What metrics were used to measure the RS-CNN model in the Relation-Shape Convolutional Neural Network for Point Cloud Analysis paper on the ModelNet40 dataset? | Overall Accuracy, Mean Accuracy, Number of params, FLOPs, Mean class accuracy |
What metrics were used to measure the ASSANet model in the ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation Learning paper on the ModelNet40 dataset? | Overall Accuracy, Mean Accuracy, Number of params, FLOPs, Mean class accuracy |
What metrics were used to measure the Point-M2AE-SVM model in the Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-training paper on the ModelNet40 dataset? | Overall Accuracy, Mean Accuracy, Number of params, FLOPs, Mean class accuracy |
What metrics were used to measure the Point Transformer model in the Point Transformer paper on the ModelNet40 dataset? | Overall Accuracy, Mean Accuracy, Number of params, FLOPs, Mean class accuracy |
What metrics were used to measure the A-CNN model in the A-CNN: Annularly Convolutional Neural Networks on Point Clouds paper on the ModelNet40 dataset? | Overall Accuracy, Mean Accuracy, Number of params, FLOPs, Mean class accuracy |
What metrics were used to measure the P2Sequence model in the Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-based Sequence to Sequence Network paper on the ModelNet40 dataset? | Overall Accuracy, Mean Accuracy, Number of params, FLOPs, Mean class accuracy |
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 ModelNet40 dataset? | Overall Accuracy, Mean Accuracy, Number of params, FLOPs, Mean class accuracy |
What metrics were used to measure the PointConv model in the PointConv: Deep Convolutional Networks on 3D Point Clouds paper on the ModelNet40 dataset? | Overall Accuracy, Mean Accuracy, Number of params, FLOPs, Mean class accuracy |
What metrics were used to measure the PolyNet model in the PolyNet: Polynomial Neural Network for 3D Shape Recognition with PolyShape Representation paper on the ModelNet40 dataset? | Overall Accuracy, Mean Accuracy, Number of params, FLOPs, Mean class accuracy |
What metrics were used to measure the SpiderCNN model in the SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters paper on the ModelNet40 dataset? | Overall Accuracy, Mean Accuracy, Number of params, FLOPs, Mean class accuracy |
What metrics were used to measure the PCNN model in the Point Convolutional Neural Networks by Extension Operators paper on the ModelNet40 dataset? | Overall Accuracy, Mean Accuracy, Number of params, FLOPs, Mean class accuracy |
What metrics were used to measure the PointCNN model in the PointCNN: Convolution On X-Transformed Points paper on the ModelNet40 dataset? | Overall Accuracy, Mean Accuracy, Number of params, FLOPs, Mean class accuracy |
What metrics were used to measure the Point-PlaneNet model in the Point-PlaneNet: Plane kernel based convolutional neural network for point clouds analysis paper on the ModelNet40 dataset? | Overall Accuracy, Mean Accuracy, Number of params, FLOPs, Mean class accuracy |
What metrics were used to measure the SpecGCN model in the Local Spectral Graph Convolution for Point Set Feature Learning paper on the ModelNet40 dataset? | Overall Accuracy, Mean Accuracy, Number of params, FLOPs, Mean class accuracy |
What metrics were used to measure the DynamicScale model in the Dynamic Local Geometry Capture in 3D PointCloud Classification paper on the ModelNet40 dataset? | Overall Accuracy, Mean Accuracy, Number of params, FLOPs, Mean class accuracy |
What metrics were used to measure the PointGrid model in the PointGrid: A Deep Network for 3D Shape Understanding paper on the ModelNet40 dataset? | Overall Accuracy, Mean Accuracy, Number of params, FLOPs, Mean class accuracy |
What metrics were used to measure the Kd-Net model in the Escape from Cells: Deep Kd-Networks for the Recognition of 3D Point Cloud Models paper on the ModelNet40 dataset? | Overall Accuracy, Mean Accuracy, Number of params, FLOPs, Mean class accuracy |
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 ModelNet40 dataset? | Overall Accuracy, Mean Accuracy, Number of params, FLOPs, Mean class accuracy |
What metrics were used to measure the 3DMFV-Net model in the 3D Point Cloud Classification and Segmentation using 3D Modified Fisher Vector Representation for Convolutional Neural Networks paper on the ModelNet40 dataset? | Overall Accuracy, Mean Accuracy, Number of params, FLOPs, Mean class accuracy |
What metrics were used to measure the SO-Net model in the SO-Net: Self-Organizing Network for Point Cloud Analysis paper on the ModelNet40 dataset? | Overall Accuracy, Mean Accuracy, Number of params, FLOPs, Mean class accuracy |
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 dataset? | Overall Accuracy, Mean Accuracy, Number of params, FLOPs, Mean class accuracy |
What metrics were used to measure the Kd-net model in the Escape from Cells: Deep Kd-Networks for the Recognition of 3D Point Cloud Models paper on the ModelNet40 dataset? | Overall Accuracy, Mean Accuracy, Number of params, FLOPs, Mean class accuracy |
What metrics were used to measure the PointNet + SageMix model in the SageMix: Saliency-Guided Mixup for Point Clouds paper on the ModelNet40 dataset? | Overall Accuracy, Mean Accuracy, Number of params, FLOPs, Mean class accuracy |
What metrics were used to measure the MVCNN model in the Multi-view Convolutional Neural Networks for 3D Shape Recognition paper on the ModelNet40 dataset? | Overall Accuracy, Mean Accuracy, Number of params, FLOPs, Mean class accuracy |
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 dataset? | Overall Accuracy, Mean Accuracy, Number of params, FLOPs, Mean class accuracy |
What metrics were used to measure the Subvolume model in the Volumetric and Multi-View CNNs for Object Classification on 3D Data paper on the ModelNet40 dataset? | Overall Accuracy, Mean Accuracy, Number of params, FLOPs, Mean class accuracy |
What metrics were used to measure the ECC model in the Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs paper on the ModelNet40 dataset? | Overall Accuracy, Mean Accuracy, Number of params, FLOPs, Mean class accuracy |
What metrics were used to measure the VRN (multiple views) model in the Generative and Discriminative Voxel Modeling with Convolutional Neural Networks paper on the ModelNet40 dataset? | Overall Accuracy, Mean Accuracy, Number of params, FLOPs, Mean class accuracy |
What metrics were used to measure the VRN (single view) model in the Generative and Discriminative Voxel Modeling with Convolutional Neural Networks paper on the ModelNet40 dataset? | Overall Accuracy, Mean Accuracy, Number of params, FLOPs, Mean class accuracy |
What metrics were used to measure the 3DShapeNets model in the 3D ShapeNets: A Deep Representation for Volumetric Shapes paper on the ModelNet40 dataset? | Overall Accuracy, Mean Accuracy, Number of params, FLOPs, Mean class accuracy |
What metrics were used to measure the Perceiver model in the Perceiver: General Perception with Iterative Attention paper on the ModelNet40 dataset? | Overall Accuracy, Mean Accuracy, Number of params, FLOPs, Mean class accuracy |
What metrics were used to measure the PointGPT model in the PointGPT: Auto-regressively Generative Pre-training from 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 ULIP-2 + PointNeXt 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 ReCon model in the Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining 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 + PointNeXt (no voting) 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 ReCon (no voting) model in the Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining 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 DeLA model in the Decoupled Local Aggregation for Point Cloud Learning paper on the ScanObjectNN dataset? | Overall Accuracy, Mean Accuracy, OBJ-BG (OA), OBJ-ONLY (OA), FLOPs, Number of params |
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