thomasverelst / awesome-dynamic-conditional-networks-cvLinks
Overview of conditional computution and dynamic CNNs for computer vision, with a focus on reducing computational complexity
☆44Updated 3 years ago
Alternatives and similar repositories for awesome-dynamic-conditional-networks-cv
Users that are interested in awesome-dynamic-conditional-networks-cv are comparing it to the libraries listed below
Sorting:
- [ICLR'21] Neural Pruning via Growing Regularization (PyTorch)☆82Updated 4 years ago
- Recent Advances on Efficient Vision Transformers☆55Updated 3 years ago
- [ICLR 2022] The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training by Shiwei Liu, Tianlo…☆77Updated 3 years ago
- Official Pytorch implementation of MixMo framework☆83Updated 4 years ago
- code for NASViT☆67Updated 3 years ago
- A pytorch implement of scalable neural netowrks.☆23Updated 5 years ago
- (ICCV 2021) BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search☆142Updated 4 years ago
- PyTorch code and checkpoints release for VanillaKD: https://arxiv.org/abs/2305.15781☆76Updated 2 years ago
- Resolution adaptive network☆154Updated 3 years ago
- A generic code base for neural network pruning, especially for pruning at initialization.☆31Updated 3 years ago
- [TPAMI 2024] This is the official repository for our paper: ''Pruning Self-attentions into Convolutional Layers in Single Path''.☆115Updated 2 years ago
- S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks via Guided Distribution Calibration (CVPR 2021)☆65Updated 4 years ago
- [ECCV-2022] Official implementation of MixSKD: Self-Knowledge Distillation from Mixup for Image Recognition && Pytorch Implementations of…☆110Updated 3 years ago
- This is the official PyTorch implementation for "Sharpness-aware Quantization for Deep Neural Networks".☆44Updated 4 years ago
- Learning recognition/segmentation models without end-to-end training. 40%-60% less GPU memory footprint. Same training time. Better perfo…☆90Updated 3 years ago
- An official PyTorch implementation of the paper "Distance-aware Quantization", ICCV 2021.☆48Updated last year
- (CVPR 2021, Oral) Dynamic Slimmable Network☆231Updated 4 years ago
- Official code for paper "On the Connection between Local Attention and Dynamic Depth-wise Convolution" ICLR 2022 Spotlight☆185Updated 3 years ago
- Official implementation of paper "Knowledge Distillation from A Stronger Teacher", NeurIPS 2022☆155Updated 3 years ago
- Official implementation for "SimA: Simple Softmax-free Attention for Vision Transformers"☆45Updated last year
- Adaptive Token Sampling for Efficient Vision Transformers (ECCV 2022 Oral Presentation)☆104Updated last year
- ☆28Updated 2 years ago
- Official implementation for (Show, Attend and Distill: Knowledge Distillation via Attention-based Feature Matching, AAAI-2021)☆118Updated 4 years ago
- ☆23Updated 6 years ago
- Transformers trained on Tiny ImageNet☆60Updated 5 months ago
- In progress.☆67Updated last year
- ☆31Updated 5 years ago
- Pytorch implementation of TPAMI 2022 -- 1xN Pattern for Pruning Convolutional Neural Networks☆42Updated 3 years ago
- [ICLR'23] Trainability Preserving Neural Pruning (PyTorch)☆34Updated 2 years ago
- Structured Binary Neural Networks for Image Recognition☆18Updated 4 years ago