The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT)...
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
Classification models trained on ImageNet. Keras.
#计算机科学# EntitySeg Toolbox: Towards Open-World and High-Quality Image Segmentation
Pretrained TorchVision models on CIFAR10 dataset (with weights)
Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet
YOLOv3 implementation in TensorFlow 2.3.1
#计算机科学#Hierarchical Image Pyramid Transformer - CVPR 2022 (Oral)
A c++ trainable semantic segmentation library based on libtorch (pytorch c++). Backbone: VGG, ResNet, ResNext. Architecture: FPN, U-Net, PAN, LinkNet, PSPNet, DeepLab-V3, DeepLab-V3+ by now.
Code for "Real-time self-adaptive deep stereo" - CVPR 2019 (ORAL)
PyTorch Lightning Optical Flow models, scripts, and pretrained weights.
An Out-of-the-Box Replication of GANimation using PyTorch, pretrained weights are available!
A Beautiful Flask Web API for Yolov7 (and custom) models
https://towardsdatascience.com/tutorial-build-an-object-detection-system-using-yolo-9a930513643a
#计算机科学#Self-Supervised Vision Transformers Learn Visual Concepts in Histopathology (LMRL Workshop, NeurIPS 2021)
#计算机科学#A native Tensorflow implementation of semantic segmentation according to Multi-Scale Context Aggregation by Dilated Convolutions (2016). Optionally uses the pretrained weights by the authors.
#计算机科学#Pretrained is the most complete and frequently updated list of pretrained top-performing models. Tensorflow, Theano and others. Want to add your model? File an issue, and we will add it.
Multi-label classification based on timm.
C++ trainable detection library based on libtorch (or pytorch c++). Yolov4 tiny provided now.