[ICCV 2017] Torch code for Grad-CAM

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks. In NeurIPS 2020 workshop.

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...

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

list of efficient attention modules

✅ Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% / LeetCode 题解

estimate the relative homography between a pair of images

Code release for NeRF (Neural Radiance Fields)

算法模板，最科学的刷题方式，最快速的刷题路径，你值得拥有~

A self automatically labeling tool

An image labelling tool for creating segmentation data sets, for Django and Flask.

Receptive Field Block Net for Accurate and Fast Object Detection, ECCV 2018

Camouflaged Object Detection, CVPR 2020 (Oral)

A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"

Code for Noisy Student Training. https://arxiv.org/abs/1911.04252

This is Pytorch re-implementation of our CVPR 2020 paper "Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation" (https://arxiv.org/abs/1911.10194)

Collection for Few-shot Learning

OpenMMLab Pre-training Toolbox and Benchmark

Set of methods to ensemble boxes from different object detection models, including implementation of "Weighted boxes fusion (WBF)" method.

🤘 awesome-semantic-segmentation

A curated list of deep learning image classification papers and codes

Create beautiful diagrams just by typing notation in plain text.

Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on d…

TMI 2018. H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes

Books

[ICCV 2019] Recursive Cascaded Networks for Unsupervised Medical Image Registration