The official PyTorch implementation of CHEX: CHannel EXploration for CNN Model Compression (CVPR 2022). Paper is available at https://openaccess.thecvf.com/content/CVPR2022/papers/Hou_CHEX_CHannel_EXploration_for_CNN_Model_Compression_CVPR_2022_paper.pdf
☆38Jul 2, 2022Updated 3 years ago
Alternatives and similar repositories for Filter-GaP
Users that are interested in Filter-GaP are comparing it to the libraries listed below
Sorting:
- ☆23Oct 24, 2022Updated 3 years ago
- Pytorch implementation of our paper accepted by IEEE TNNLS, 2022 — Carrying out CNN Channel Pruning in a White Box☆18Feb 15, 2022Updated 4 years ago
- [ICLR 2023] PyTorch code for DFPC: Data flow driven pruning of coupled channels without data.☆15Aug 25, 2023Updated 2 years ago
- The codes for ECCV'22: Learning to Train a Point Cloud Reconstruction Network without Matching☆10Nov 16, 2022Updated 3 years ago
- PyTorch implementation of "Dynamic Structure Pruning for Compressing CNNs" (AAAI 2023 Oral)☆27Jan 15, 2024Updated 2 years ago
- The codes for RFNet: Recurrent Forward Network for Dense Point Cloud Completion☆20Jan 17, 2022Updated 4 years ago
- Group Fisher Pruning for Practical Network Compression(ICML2021)☆161May 24, 2023Updated 2 years ago
- Dinghow's notes about Digital Art, School of Software Engineering, Tongji University☆12Sep 23, 2019Updated 6 years ago
- ssd detector use backbone as VGG、MobileNetV1、MobileNetV2、MobileNetV3☆13Oct 6, 2021Updated 4 years ago
- ☆21Oct 1, 2024Updated last year
- [ICLR 2024] Dynamic Neural Response Tuning☆16Nov 26, 2025Updated 3 months ago
- Implementation of Neuron-level Structured Pruning using Polarization Regularizer☆82Nov 22, 2022Updated 3 years ago
- ☆17Oct 22, 2022Updated 3 years ago
- Confidence-aware Personalized Federated Learning via Variational Expectation Maximization [Accepted at CVPR 2023]☆16Nov 8, 2023Updated 2 years ago
- LaTex Poster for S3-NeRF (NeurIPS 2022)☆19Feb 14, 2023Updated 3 years ago
- [SIGGRAPH Asia'22] The codes of 3QNet: 3D Point Cloud Geometry Quantization Compression Network☆17Feb 16, 2023Updated 3 years ago
- ☆20Nov 27, 2022Updated 3 years ago
- Pytorch implementation of our paper SUBP: Soft Uniform Block Pruning for 1xN Sparse CNNs Multithreading Acceleration accepted by NeurIPS …☆22Mar 12, 2024Updated last year
- CCD： Official PyTorch implementation of the paper "Contextual Debiasing for Visual Recognition with Causal Mechanisms"☆17Jan 26, 2023Updated 3 years ago
- ☆48Aug 7, 2023Updated 2 years ago
- The open-souce code of FedFA: Federated Learning with Feature Anchors to Align Features and Classifiers for Heterogeneous Data, accepted …☆19Oct 21, 2023Updated 2 years ago
- PyTorch code for our paper "Resource-Adaptive Federated Learning with All-In-One Neural Composition" (NeurIPS2022)☆19Dec 4, 2022Updated 3 years ago
- Pytorch implementation of our paper OvSW: Overcoming Silent Weights for Accurate Binary Neural Networks accepted by ECCV 2024.☆18Jul 9, 2024Updated last year
- The codes for ECCV'22: Resolution-free Point Cloud Sampling Network with Data Distillation☆18Feb 16, 2023Updated 3 years ago
- CVPR 2023, Class Attention Transfer Based Knowledge Distillation☆46Jun 13, 2023Updated 2 years ago
- Code for ICML 2022 paper "SPDY: Accurate Pruning with Speedup Guarantees"☆20May 3, 2023Updated 2 years ago
- Neuron Merging: Compensating for Pruned Neurons (NeurIPS 2020)☆43Feb 4, 2021Updated 5 years ago
- It's All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher [CVPR 2022 Oral]☆29Sep 15, 2022Updated 3 years ago
- ☆26Mar 1, 2024Updated 2 years ago
- Pytorch implementation of our paper accepted by CVPR 2020 (Oral) -- HRank: Filter Pruning using High-Rank Feature Map☆257Feb 11, 2021Updated 5 years ago
- The official implement of paper "Does Federated Learning Really Need Backpropagation?"☆23Feb 9, 2023Updated 3 years ago
- Repository for artifact evaluation of ASPLOS 2023 paper "SparseTIR: Composable Abstractions for Sparse Compilation in Deep Learning"☆25Feb 24, 2023Updated 3 years ago
- Paper collection about model compression and acceleration: Pruning, Quantization, Knowledge Distillation, Low Rank Factorization, etc☆25Oct 14, 2020Updated 5 years ago
- [TPAMI 2024] This is the official repository for our paper: ''Pruning Self-attentions into Convolutional Layers in Single Path''.☆115Dec 30, 2023Updated 2 years ago
- DeiT implementation for Q-ViT☆25Apr 21, 2025Updated 10 months ago
- Learning Efficient Vision Transformers via Fine-Grained Manifold Distillation. NeurIPS 2022.☆34Oct 18, 2022Updated 3 years ago
- Code for CVPR2023 DaFKD : Domain-aware Federated Knowledge Distillation☆29May 22, 2023Updated 2 years ago
- ☆31Jun 18, 2020Updated 5 years ago
- ☆28Feb 24, 2026Updated last week