ArchipLab-LinfengZhang / Task-Oriented-Feature-DistillationLinks
This is the implementaion of paper "Task-Oriented Feature Distillation"
☆44Updated 3 years ago
Alternatives and similar repositories for Task-Oriented-Feature-Distillation
Users that are interested in Task-Oriented-Feature-Distillation are comparing it to the libraries listed below
Sorting:
- S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks via Guided Distribution Calibration (CVPR 2021)☆64Updated 4 years ago
 - PyTorch Implementation of Matching Guided Distillation [ECCV'20]☆64Updated 4 years ago
 - Resolution adaptive network☆152Updated 3 years ago
 - The official repo of the CVPR2021 oral paper: Representative Batch Normalization with Feature Calibration☆84Updated 3 years ago
 - Seach Losses of our paper 'Loss Function Discovery for Object Detection via Convergence-Simulation Driven Search', accepted by ICLR 2021.☆57Updated 3 years ago
 - ☆31Updated 5 years ago
 - HR-NAS: Searching Efficient High-Resolution Neural Architectures with Lightweight Transformers (CVPR21 Oral)☆142Updated 4 years ago
 - ☆73Updated 2 years ago
 - Pytorch implementation of our paper accepted by IEEE TNNLS, 2021 -- Network Pruning using Adaptive Exemplar Filters☆23Updated 4 years ago
 - Implementation of Sparse Shift Layer and Active Shift Layer (3D, 4D, 5D tensors) for PyTorch(CPU,GPU)☆35Updated 4 years ago
 - Pytorch implementation of CVPR2021 paper: SuperMix: Supervising the Mixing Data Augmentation☆92Updated 3 years ago
 - Code for Dynamic Convolutions: Exploiting Spatial Sparsity for Faster Inference (CVPR2020)☆128Updated 3 years ago
 - [ECCV'20 Oral] MutualNet: Adaptive ConvNet via Mutual Learning from Network Width and Resolution☆159Updated 3 years ago
 - This repo contains the code of "ConTNet: Why not use convolution and transformer at the same time?"☆98Updated 4 years ago
 - [ECCV 2020] DADA: Differentiable Automatic Data Augmentation☆191Updated 2 years ago
 - Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression. CVPR2020.☆65Updated 3 years ago
 - ☆109Updated 4 years ago
 - [TIP 2022] Towards Better Accuracy-efficiency Trade-offs: Divide and Co-training. Plus, an image classification toolbox includes ResNet, …☆107Updated 3 years ago
 - ☆47Updated 4 years ago
 - Cyclic Differentiable Architecture Search☆36Updated 3 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
 - UniMoCo: Unsupervised, Semi-Supervised and Full-Supervised Visual Representation Learning☆55Updated 4 years ago
 - Codes of Approximated Oracle Filter Pruning☆32Updated 3 years ago
 - (CVPR 2021, Oral) Dynamic Slimmable Network☆229Updated 3 years ago
 - The implementation of our paper: Towards Robust Vision Transformer (CVPR2022)☆142Updated 3 years ago
 - [ICLR'21] Neural Pruning via Growing Regularization (PyTorch)☆82Updated 4 years ago
 - [CVPR 2021]OPANAS: One-Shot Path Aggregation Network Architecture Search for Object Detection☆45Updated last year
 - An efficient implementation for ImageNet classification☆17Updated 5 years ago
 - Pytorch implementation of our paper accepted by IEEE TNNLS, 2021 -- Filter Sketch for Network Pruning☆53Updated 4 years ago
 - [AAAI-2021, TKDE-2023] Official implementation for "Cross-Layer Distillation with Semantic Calibration".☆75Updated last year