Pinned Repositories
awesome-neural-trees
Introduction, selected papers and possible corresponding codes in our review paper "A Survey of Neural Trees"
CMI
[IJCAI-2021] Contrastive Model Inversion for Data-Free Knowledge Distillation
DEPARA
(CVPR 2020 oral) DEPARA : Deep Attribution Graph for Deep Knowledge Transferbility
Fast-Datafree
[AAAI-2022] Up to 100x Faster Data-free Knowledge Distillation
KamalEngine
Knowledge Amalgamation Engine
MEAT-TIL
CVPR2022: Meta-attention for ViT-backed Continual Learning
MosaicKD
[NeurIPS-2021] Mosaicking to Distill: Knowledge Distillation from Out-of-Domain Data
NetGraft
The implementation of AAAI 2021 Paper: "Progressive Network Grafting for Few-Shot Knowledge Distillation".
OSGAN
One-Stage GAN for Efficient Adversarial Learning. The implementation of CVPR 2021 paper: Training Generative Adversarial Networks in One Stage.
ProtoPFormer
ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition
ZJU-VIPA's Repositories
zju-vipa/KamalEngine
Knowledge Amalgamation Engine
zju-vipa/awesome-neural-trees
Introduction, selected papers and possible corresponding codes in our review paper "A Survey of Neural Trees"
zju-vipa/CMI
[IJCAI-2021] Contrastive Model Inversion for Data-Free Knowledge Distillation
zju-vipa/Fast-Datafree
[AAAI-2022] Up to 100x Faster Data-free Knowledge Distillation
zju-vipa/MosaicKD
[NeurIPS-2021] Mosaicking to Distill: Knowledge Distillation from Out-of-Domain Data
zju-vipa/DEPARA
(CVPR 2020 oral) DEPARA : Deep Attribution Graph for Deep Knowledge Transferbility
zju-vipa/OSGAN
One-Stage GAN for Efficient Adversarial Learning. The implementation of CVPR 2021 paper: Training Generative Adversarial Networks in One Stage.
zju-vipa/MEAT-TIL
CVPR2022: Meta-attention for ViT-backed Continual Learning
zju-vipa/NetGraft
The implementation of AAAI 2021 Paper: "Progressive Network Grafting for Few-Shot Knowledge Distillation".
zju-vipa/ProtoPFormer
ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition
zju-vipa/spot-adaptive-pytorch
zju-vipa/TransferbilityFromAttributionMaps
(NeurIPS 2019) Deep Model Transferbility from Attribution Maps
zju-vipa/training_free_model_merging
This repository is the implementation of the paper Training Free Pretrained Model Merging (CVPR2024).
zju-vipa/EVS-Net
zju-vipa/CommonFeatureLearning
(IJCAI 2019) Knowledge Amalgamation from Heterogeneous Networks by Common Feature Learning
zju-vipa/modelgif
This repository is an implementation of the paper ModelGiF: Gradient Fields for Model Functional Distance (ICCV2023)
zju-vipa/DeepModel-Evaluation-CV
This is a repository of multi-dimensional evaluation frameworks for computer vision deep learning models。
zju-vipa/HML
Human in the loop Machine Learning System
zju-vipa/One-GORD
NeurIPS2020: One-sample Guided Object Representation Disassembling
zju-vipa/BKT
[AAAI-2021] Visual Boundary Knowledge Translation for Foreground Segmentation
zju-vipa/ConstituentAttention
zju-vipa/Wali-turtlebot
Autonomous Drive Turtlebot using BiSeNet segmentation network on RGBD data
zju-vipa/CHN-DF
面向人脸视频防伪鉴别的大规模中文数据评测基准(Large-Scale Chinese Data Benchmark for Face Video Anti-Forgery Identification)
zju-vipa/KDExplainer