JingyangXiang / MaxQLinks
Pytorch implementation of our paper MaxQ: Multi-Axis Query for N:M Sparsity Network accepted by CVPR 2024.
☆36Updated last year
Alternatives and similar repositories for MaxQ
Users that are interested in MaxQ are comparing it to the libraries listed below
Sorting:
- [NeurIPS24 Spotlight] Voxel Mamba: Group-Free State Space Models for Point Cloud based 3D Object Detection☆141Updated last year
- Code of ICCV23 paper: Ada3D : Exploiting the Spatial Redundancy with Adaptive Inference for Efficient 3D Object Detection☆29Updated last year
- [CVPR'23] FlatFormer: Flattened Window Attention for Efficient Point Cloud Transformer☆136Updated last year
- ScatterFormer: Efficient Voxel Transformer with Scattered Linear Attention (ECCV 2024)☆80Updated 4 months ago
- A fast and memory-efficient libarary for sparse transformer with varying token numbers (e.g., 3D point cloud).☆168Updated 2 years ago
- (CVPR 2024) CaKDP: Category-aware Knowledge Distillation and Pruning Framework for Lightweight 3D Object Detection☆17Updated last year
- [EuroSys'24] Minuet: Accelerating 3D Sparse Convolutions on GPUs☆78Updated last year
- [CVPR'23] SparseViT: Revisiting Activation Sparsity for Efficient High-Resolution Vision Transformer☆74Updated last year
- [ICLR2024]: LiDAR-PTQ: Post-Training Quantization for Point Cloud 3D Object Detection.☆79Updated last year
- [ICLR 2024] MixSup: Mixed-grained Supervision for Label-efficient LiDAR-based 3D Object Detection☆74Updated last year
- CVPR2023 (highlight) - UniDistill: A Universal Cross-Modality Knowledge Distillation Framework for 3D Object Detection in Bird's-Eye View☆118Updated 2 years ago
- [CVPR 2023] PointDistiller: Structured Knowledge Distillation Towards Efficient and Compact 3D Detection☆75Updated 2 years ago
- ☆161Updated 2 years ago
- [ECCV 2024] AdaLog: Post-Training Quantization for Vision Transformers with Adaptive Logarithm Quantizer☆33Updated 9 months ago
- [ECCV 2024 Oral] Official code of "Rethinking Data Augmentation for Robust LiDAR Semantic Segmentation in Adverse Weather".☆58Updated last year
- [ECCV 2024] SparseRefine: Sparse Refinement for Efficient High-Resolution Semantic Segmentation☆12Updated 8 months ago
- The codes for RFNet: Recurrent Forward Network for Dense Point Cloud Completion☆21Updated 3 years ago
- ☆53Updated 9 months ago
- [NeurIPS 2024] OPUS: Occupancy Prediction Using a Sparse Set☆110Updated this week
- [ECCV2024] UniM2AE: Multi-modal Masked Autoencoders with Unified 3D Representation for 3D Perception in Autonomous Driving☆61Updated last year
- [ICRA 2025] OccRWKV: Rethinking Efficient 3D Semantic Occupancy Prediction with Linear Complexity☆55Updated 7 months ago
- The codes for ECCV'22: Learning to Train a Point Cloud Reconstruction Network without Matching☆10Updated 2 years ago
- CoIn: Contrastive Instance Feature Mining for Outdoor 3D Object Detection with Very Limited Annotations(ICCV2023)☆38Updated last year
- The official PyTorch implementation of "Exploring Active 3D Object Detection from a Generalization Perspective" (ICLR Spotlight 2023).☆63Updated last year
- [ECCV 2024] Towards Stable 3D Object Detection☆47Updated last year
- Pytorch implementation of our paper OvSW: Overcoming Silent Weights for Accurate Binary Neural Networks accepted by ECCV 2024.☆18Updated last year
- [CVPR 2023] FrustumFormer: Adaptive Instance-aware Resampling for Multi-view 3D Detection☆30Updated last year
- This is the official implementation of "LSK3DNet: Towards Effective and Efficient 3D Perception with Large Sparse Kernels" (Accepted at C…☆61Updated 4 months ago
- MSF: Motion-guided Sequential Fusion for Efficient 3D Object Detection from Point Cloud Sequences (CVPR 2023)☆62Updated 2 years ago
- [ECCV 2024] Occupancy as Set of Points☆90Updated last year