andreawonderland

Pinned Repositories

2016CVPRCAM
Class Activation Mapping
Language:MATLAB00
2017ICCVgrad-cam
Advanced AI Explainability for computer vision. Support for CNNs and Vision Transformers. Examples and applications for classification, object detection, segmentation, explaining image similarity and more.
Language:Python00
AMC
Language:Python00
awesome_deep_learning_interpretability
深度学习近年来关于神经网络模型解释性的相关高引用/顶会论文(附带代码)
00
BottleneckTransformers
Bottleneck Transformers for Visual Recognition
Language:Python00
CIFAR10
00
DPT
DPT: Deformable Patch-based Transformer for Visual Recognition (ACM MM2021)
Language:Python00
Grad-CAM.pytorch
pytorch实现Grad-CAM和Grad-CAM++,可以可视化任意分类网络的Class Activation Map (CAM)图,包括自定义的网络;同时也实现了目标检测faster r-cnn和retinanet两个网络的CAM图;欢迎试用、关注并反馈问题...
Language:Python00
grad-cam_sourcecode_pytorch
[ICCV 2017] Torch code for Grad-CAM
Language:Lua00
GradCAM_tf2
Implementation of GradCAM & Guided GradCAM with Tensorflow 2.x
Language:Jupyter Notebook00

andreawonderland's Repositories

andreawonderland/2016CVPRCAM
Class Activation Mapping
Language:MATLAB00
andreawonderland/2017ICCVgrad-cam
Advanced AI Explainability for computer vision. Support for CNNs and Vision Transformers. Examples and applications for classification, object detection, segmentation, explaining image similarity and more.
Language:Python00
andreawonderland/AMC
Language:Python00
andreawonderland/awesome_deep_learning_interpretability
深度学习近年来关于神经网络模型解释性的相关高引用/顶会论文(附带代码)
00
andreawonderland/BottleneckTransformers
Bottleneck Transformers for Visual Recognition
Language:Python00
andreawonderland/CIFAR10
00
andreawonderland/DPT
DPT: Deformable Patch-based Transformer for Visual Recognition (ACM MM2021)
Language:Python00
andreawonderland/Grad-CAM.pytorch
pytorch实现Grad-CAM和Grad-CAM++,可以可视化任意分类网络的Class Activation Map (CAM)图,包括自定义的网络;同时也实现了目标检测faster r-cnn和retinanet两个网络的CAM图;欢迎试用、关注并反馈问题...
Language:Python00
andreawonderland/grad-cam_sourcecode_pytorch
[ICCV 2017] Torch code for Grad-CAM
Language:Lua00
andreawonderland/GradCAM_tf2
Implementation of GradCAM & Guided GradCAM with Tensorflow 2.x
Language:Jupyter Notebook00
andreawonderland/keras-io
Keras documentation, hosted live at keras.io
andreawonderland/PyTorch-
《Pytorch模型训练实用教程》中配套代码
andreawonderland/Relation-Aware-Global-Attention-Networks
We design an effective Relation-Aware Global Attention (RGA) module for CNNs to globally infer the attention.
andreawonderland/robust-residual-network
Revisiting Residual Networks for Adversarial Robustness: An Architectural Perspective
andreawonderland/smallsample
Language:Jupyter Notebook
andreawonderland/vision_transformer
andreawonderland/Visual-analytics-and-Interpretability-in-Deep-Learning
本项目主要是通过可视分析的手段，对深度学习的可解释性做出讨论与探讨。并且记录小组成员的学习过程与工作