JingyangXiang / MaxQLinks
Pytorch implementation of our paper MaxQ: Multi-Axis Query for N:M Sparsity Network accepted by CVPR 2024.
☆37Updated last year
Alternatives and similar repositories for MaxQ
Users that are interested in MaxQ are comparing it to the libraries listed below
Sorting:
- [CVPR'23] FlatFormer: Flattened Window Attention for Efficient Point Cloud Transformer☆138Updated 2 years ago
- Code of ICCV23 paper: Ada3D : Exploiting the Spatial Redundancy with Adaptive Inference for Efficient 3D Object Detection☆29Updated 2 years ago
- [NeurIPS24 Spotlight] Voxel Mamba: Group-Free State Space Models for Point Cloud based 3D Object Detection☆147Updated last year
- ScatterFormer: Efficient Voxel Transformer with Scattered Linear Attention (ECCV 2024)☆80Updated 6 months ago
- [ICLR2024]: LiDAR-PTQ: Post-Training Quantization for Point Cloud 3D Object Detection.☆79Updated last year
- [ECCV 2024] AdaLog: Post-Training Quantization for Vision Transformers with Adaptive Logarithm Quantizer☆37Updated 11 months ago
- [CVPR'23] SparseViT: Revisiting Activation Sparsity for Efficient High-Resolution Vision Transformer☆76Updated last year
- (CVPR 2024) CaKDP: Category-aware Knowledge Distillation and Pruning Framework for Lightweight 3D Object Detection☆18Updated 2 months ago
- A fast and memory-efficient libarary for sparse transformer with varying token numbers (e.g., 3D point cloud).☆170Updated 2 years ago
- [EuroSys'24] Minuet: Accelerating 3D Sparse Convolutions on GPUs☆78Updated last year
- [ICLR 2024] MixSup: Mixed-grained Supervision for Label-efficient LiDAR-based 3D Object Detection☆75Updated last year
- ☆164Updated 2 years ago
- This is the official implementation of "LSK3DNet: Towards Effective and Efficient 3D Perception with Large Sparse Kernels" (Accepted at C…☆65Updated 6 months ago
- The codes for ECCV'22: Learning to Train a Point Cloud Reconstruction Network without Matching☆10Updated 3 years ago
- ☆51Updated 2 years ago
- CVPR2023 (highlight) - UniDistill: A Universal Cross-Modality Knowledge Distillation Framework for 3D Object Detection in Bird's-Eye View☆118Updated 2 years ago
- [ECCV 2024] SparseRefine: Sparse Refinement for Efficient High-Resolution Semantic Segmentation☆15Updated 10 months ago
- The codes for ECCV'22: Resolution-free Point Cloud Sampling Network with Data Distillation☆18Updated 2 years ago
- [SIGGRAPH Asia'22] The codes of 3QNet: 3D Point Cloud Geometry Quantization Compression Network☆17Updated 2 years ago
- [CVPR 2023] FrustumFormer: Adaptive Instance-aware Resampling for Multi-view 3D Detection☆30Updated last year
- The four major frameworks for 3D point cloud sparse acceleration, which are currently mainstream, are compared. These include MIT-HAN-LAB…☆29Updated 9 months ago
- The codes for RFNet: Recurrent Forward Network for Dense Point Cloud Completion☆21Updated 3 years ago
- [CVPR 2023] PointDistiller: Structured Knowledge Distillation Towards Efficient and Compact 3D Detection☆75Updated 2 years ago
- ☆52Updated 11 months ago
- [ECCV 2024 Oral] Official code of "Rethinking Data Augmentation for Robust LiDAR Semantic Segmentation in Adverse Weather".☆58Updated last year
- Pytorch implementation of our paper OvSW: Overcoming Silent Weights for Accurate Binary Neural Networks accepted by ECCV 2024.☆18Updated last year
- [ICRA 2025] OccRWKV: Rethinking Efficient 3D Semantic Occupancy Prediction with Linear Complexity☆60Updated 10 months ago
- CoIn: Contrastive Instance Feature Mining for Outdoor 3D Object Detection with Very Limited Annotations(ICCV2023)☆39Updated last year
- Point Could Mamba: Point Cloud Learning via State Space Model☆74Updated 11 months ago
- [ECCV2024] UniM2AE: Multi-modal Masked Autoencoders with Unified 3D Representation for 3D Perception in Autonomous Driving☆63Updated last year