ZJU-VIPA

KamalEngine

Knowledge Amalgamation Engine

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

Fast-Datafree

[AAAI-2022] Up to 100x Faster Data-free Knowledge Distillation

MosaicKD

[NeurIPS-2021] Mosaicking to Distill: Knowledge Distillation from Out-of-Domain Data

DEPARA

(CVPR 2020 oral) DEPARA : Deep Attribution Graph for Deep Knowledge Transferbility

OSGAN

One-Stage GAN for Efficient Adversarial Learning. The implementation of CVPR 2021 paper: Training Generative Adversarial Networks in One Stage.

MEAT-TIL

CVPR2022: Meta-attention for ViT-backed Continual Learning

NetGraft

The implementation of AAAI 2021 Paper: "Progressive Network Grafting for Few-Shot Knowledge Distillation".

ProtoPFormer

ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition

spot-adaptive-pytorch

TransferbilityFromAttributionMaps

(NeurIPS 2019) Deep Model Transferbility from Attribution Maps

training_free_model_merging

This repository is the implementation of the paper Training Free Pretrained Model Merging (CVPR2024).

EVS-Net

CommonFeatureLearning

(IJCAI 2019) Knowledge Amalgamation from Heterogeneous Networks by Common Feature Learning

modelgif

This repository is an implementation of the paper ModelGiF: Gradient Fields for Model Functional Distance (ICCV2023)

DeepModel-Evaluation-CV

This is a repository of multi-dimensional evaluation frameworks for computer vision deep learning models。

HML

Human in the loop Machine Learning System

One-GORD

NeurIPS2020: One-sample Guided Object Representation Disassembling

BKT

[AAAI-2021] Visual Boundary Knowledge Translation for Foreground Segmentation

ConstituentAttention

Wali-turtlebot

Autonomous Drive Turtlebot using BiSeNet segmentation network on RGBD data

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)

KDExplainer