VainF / Isomorphic-PruningLinks
[ECCV 2024] Isomorphic Pruning for Vision Models
☆78Updated last year
Alternatives and similar repositories for Isomorphic-Pruning
Users that are interested in Isomorphic-Pruning are comparing it to the libraries listed below
Sorting:
- [ICCV 23]An approach to enhance the efficiency of Vision Transformer (ViT) by concurrently employing token pruning and token merging tech…☆104Updated 2 years ago
- PyTorch code and checkpoints release for VanillaKD: https://arxiv.org/abs/2305.15781☆76Updated 2 years ago
- [CVPR 2024] PTQ4SAM: Post-Training Quantization for Segment Anything☆81Updated last year
- [CVPR'23] SparseViT: Revisiting Activation Sparsity for Efficient High-Resolution Vision Transformer☆78Updated last year
- The official implementation of the NeurIPS 2022 paper Q-ViT.☆102Updated 2 years ago
- [CVPR 2023 Highlight] This is the official implementation of "Stitchable Neural Networks".☆250Updated 2 years ago
- ☆48Updated 2 years ago
- 1.5−3.0× lossless training or pre-training speedup. An off-the-shelf, easy-to-implement algorithm for the efficient training of foundatio …☆225Updated last year
- [TMLR] Official PyTorch implementation of paper "Quantization Variation: A New Perspective on Training Transformers with Low-Bit Precisio…☆46Updated last year
- Training ImageNet / CIFAR models with sota strategies and fancy techniques such as ViT, KD, Rep, etc.☆87Updated last year
- [NeurIPS 2023] Structural Pruning for Diffusion Models☆211Updated last year
- Implementation of Post-training Quantization on Diffusion Models (CVPR 2023)☆140Updated 2 years ago
- Pytorch implementation of our paper accepted by CVPR 2022 -- IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Sh…☆33Updated 3 years ago
- Join the High Accuracy Club on ImageNet with A Binary Neural Network Ticket☆69Updated 2 years ago
- ☆23Updated last year
- Recent Advances on Efficient Vision Transformers☆55Updated 2 years ago
- (ICLR 2025) BinaryDM: Accurate Weight Binarization for Efficient Diffusion Models☆26Updated last year
- ☆13Updated last year
- [ICCV 2025] QuEST: Efficient Finetuning for Low-bit Diffusion Models☆55Updated 6 months ago
- ☆13Updated 2 years ago
- [CVPR 2023] Castling-ViT: Compressing Self-Attention via Switching Towards Linear-Angular Attention During Vision Transformer Inference☆29Updated last year
- super-resolution; post-training quantization; model compression☆14Updated 2 years ago
- [ICLR'23] Trainability Preserving Neural Pruning (PyTorch)☆34Updated 2 years ago
- [NeurIPS 2023] MCUFormer: Deploying Vision Transformers on Microcontrollers with Limited Memory☆75Updated 2 years ago
- [ICLR 2024] This is the official PyTorch implementation of "QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Mod…☆39Updated last year
- Learnable Semi-structured Sparsity for Vision Transformers and Diffusion Transformers☆14Updated 10 months ago
- The official implementation for paper: Improving Knowledge Distillation via Regularizing Feature Norm and Direction☆24Updated 2 years ago
- In progress.☆67Updated last year
- PyTorch code and checkpoints release for OFA-KD: https://arxiv.org/abs/2310.19444☆133Updated last year
- [CVPR 2023] PD-Quant: Post-Training Quantization Based on Prediction Difference Metric☆60Updated 2 years ago