mit-han-lab / sparserefineLinks
[ECCV 2024] SparseRefine: Sparse Refinement for Efficient High-Resolution Semantic Segmentation
☆15Updated 11 months ago
Alternatives and similar repositories for sparserefine
Users that are interested in sparserefine are comparing it to the libraries listed below
Sorting:
- [CVPR'23] SparseViT: Revisiting Activation Sparsity for Efficient High-Resolution Vision Transformer☆77Updated last year
- Code of ICCV23 paper: Ada3D : Exploiting the Spatial Redundancy with Adaptive Inference for Efficient 3D Object Detection☆29Updated 2 years ago
- A neural network training interface based on PyTorch, with a focus on flexibility☆63Updated last year
- code of [CVPR22] CodedVTR: Codebook-based Sparse Voxel Transformer with Geometric Guidance☆17Updated 3 years ago
- Pytorch implementation of our paper MaxQ: Multi-Axis Query for N:M Sparsity Network accepted by CVPR 2024.☆37Updated last year
- [ECCV 2024] AdaLog: Post-Training Quantization for Vision Transformers with Adaptive Logarithm Quantizer☆37Updated last year
- [NeurIPS 2023] ShiftAddViT: Mixture of Multiplication Primitives Towards Efficient Vision Transformer☆30Updated 2 years ago
- [CVPR'23] FlatFormer: Flattened Window Attention for Efficient Point Cloud Transformer☆140Updated 2 years ago
- Structured Binary Neural Networks for Image Recognition☆18Updated 4 years ago
- ☆164Updated 2 years ago
- [EuroSys'24] Minuet: Accelerating 3D Sparse Convolutions on GPUs☆78Updated last year
- [CVPR 2023] PD-Quant: Post-Training Quantization Based on Prediction Difference Metric☆60Updated 2 years ago
- torch_quantizer is a out-of-box quantization tool for PyTorch models on CUDA backend, specially optimized for Diffusion Models.☆22Updated last year
- This is the pytorch implementation for the paper: Generalizable Mixed-Precision Quantization via Attribution Rank Preservation, which is…☆24Updated 4 years ago
- The code repository of "MBQ: Modality-Balanced Quantization for Large Vision-Language Models"☆70Updated 9 months ago
- [ICLR 2024] This is the official PyTorch implementation of "QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Mod…☆39Updated last year
- Collections of model quantization algorithms. Any issues, please contact Peng Chen (blueardour@gmail.com)☆73Updated 4 years ago
- ☆78Updated 3 years ago
- [CVPR 2024] PTQ4SAM: Post-Training Quantization for Segment Anything☆82Updated last year
- A fast and memory-efficient libarary for sparse transformer with varying token numbers (e.g., 3D point cloud).☆172Updated 2 years ago
- Anytime Dense Prediction with Confidence Adaptivity (ICLR 2022)☆52Updated last year
- ☆35Updated 2 years ago
- BlockCopy (ICCV2021) implementation in PyTorch, accelerating neural networks with block-sparse execution☆21Updated 2 years ago
- PyTorch implementation of PTQ4DiT https://arxiv.org/abs/2405.16005☆43Updated last year
- [ICCV 2025 Highlight] Rep-MTL: Unleashing the Power of Representation-level Task Saliency for Multi-Task Learning☆21Updated 4 months ago
- PyTorch implementation of US3L (Accepted to CVPR2023)☆33Updated 2 years ago
- [ICLR 2025] Mixture Compressor for Mixture-of-Experts LLMs Gains More☆63Updated 10 months ago
- This project is the official implementation of our accepted ICLR 2021 paper BiPointNet: Binary Neural Network for Point Clouds.☆77Updated 4 years ago
- [ICCV2023] NoiseDet: Learning from Noisy Data for Semi-Superivsed 3D Object Detection☆21Updated 2 years ago
- ☆17Updated 2 years ago