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

• DeadAt0m / ActiveSparseShifts-PyTorch
  Implementation of Sparse Shift Layer and Active Shift Layer (3D, 4D, 5D tensors) for PyTorch(CPU,GPU)
  ☆34Updated 3 years ago
• LTH14 / FSKD
  ☆30Updated 4 years ago
• szq0214 / S2-BNN
  S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks via Guided Distribution Calibration (CVPR 2021)
  ☆64Updated 3 years ago
• Pokemon-Huang / sparse-structure-selection-PyTorch
  PyTorch-Implementation of "Data-Driven Sparse Structure Selection for Deep Neural Networks"
  ☆20Updated 4 years ago
• lmbxmu / EPruner
  Pytorch implementation of our paper accepted by IEEE TNNLS, 2021 -- Network Pruning using Adaptive Exemplar Filters
  ☆22Updated 3 years ago
• bychen515 / BNNAS
  ☆30Updated 3 years ago
• kaiyuyue / mgd
  Matching Guided Distillation (ECCV 2020)
  ☆64Updated 3 years ago
• VDIGPKU / OPANAS
  [CVPR 2021]OPANAS: One-Shot Path Aggregation Network Architecture Search for Object Detection
  ☆44Updated last year
• PerdonLiu / CSE-Autoloss
  Seach Losses of our paper 'Loss Function Discovery for Object Detection via Convergence-Simulation Driven Search', accepted by ICLR 2021.
  ☆56Updated 3 years ago
• yellowtownhz / IE-KD
  ☆9Updated 3 years ago
• yangle15 / RANet-pytorch
  Resolution adaptive network
  ☆150Updated 2 years ago
• yousiki / PyTorch-FBS
  A PyTorch Implementation of Feature Boosting and Suppression
  ☆18Updated 4 years ago
• ofsoundof / group_sparsity
  Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression. CVPR2020.
  ☆63Updated 3 years ago
• dingmyu / HR-NAS
  HR-NAS: Searching Efficient High-Resolution Neural Architectures with Lightweight Transformers (CVPR21 Oral)
  ☆141Updated 3 years ago
• xuguodong03 / UNIXKD
  ☆27Updated 2 years ago
• bellymonster / Weighted-Soft-Label-Distillation
  ☆57Updated 3 years ago
• VITA-Group / Random_Pruning
  [ICLR 2022] The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training by Shiwei Liu, Tianlo…
  ☆73Updated 2 years ago
• facebookresearch / NASViT
  code for NASViT
  ☆68Updated 2 years ago
• VITA-Group / SViTE
  [NeurIPS'21] "Chasing Sparsity in Vision Transformers: An End-to-End Exploration" by Tianlong Chen, Yu Cheng, Zhe Gan, Lu Yuan, Lei Zhang…
  ☆89Updated last year
• ChengyueGongR / PatchVisionTransformer
  ☆73Updated 2 years ago
• lmbxmu / CLR-RNF
  Pytorch implementation of our paper (TNNLS) -- Pruning Networks with Cross-Layer Ranking & k-Reciprocal Nearest Filters
  ☆12Updated 3 years ago
• DingXiaoH / GSM-SGD
  Global Sparse Momentum SGD for pruning very deep neural networks
  ☆44Updated 2 years ago
• DingXiaoH / Centripetal-SGD
  Codes of Centripetal SGD
  ☆63Updated 2 years ago
• longxianlei / G-ResNeXt_GroupNet
  re-implement of Group ConvNet, also be called as G-ResNext. It's from the paper, reproduction of the paper "Differentiable Learning-to-Gr…
  ☆20Updated 5 years ago
• DefangChen / SemCKD
  [AAAI-2021, TKDE-2023] Official implementation for "Cross-Layer Distillation with Semantic Calibration".
  ☆74Updated 8 months ago
• yoniaflalo / knapsack_pruning
  Implementation of knapsack pruning
  ☆27Updated 4 years ago
• MingiJi / FRSKD
  Official implementation for (Refine Myself by Teaching Myself : Feature Refinement via Self-Knowledge Distillation, CVPR-2021)
  ☆96Updated 11 months ago
• hunto / DyRep
  Official implementation for paper "DyRep: Bootstrapping Training with Dynamic Re-parameterization", CVPR 2022
  ☆43Updated 2 years ago
• lmbxmu / FilterSketch
  Pytorch implementation of our paper accepted by IEEE TNNLS, 2021 -- Filter Sketch for Network Pruning
  ☆53Updated 4 years ago
• ofsoundof / random_channel_pruning
  ☆17Updated 3 years ago