pretrained-weights topic
segmentation_models.pytorch
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
HIPT
Hierarchical Image Pyramid Transformer - CVPR 2022 (Oral)
classification_models
Classification models trained on ImageNet. Keras.
pytorch-image-models
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT)...
Real-time-self-adaptive-deep-stereo
Code for "Real-time self-adaptive deep stereo" - CVPR 2019 (ORAL)
LibtorchSegmentation
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.
neural-backed-decision-trees
Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet
PyTorch_CIFAR10
Pretrained TorchVision models on CIFAR10 dataset (with weights)
TensorFlow-2.x-YOLOv3
YOLOv3 implementation in TensorFlow 2.3.1
Entity
EntitySeg Toolbox: Towards Open-World and High-Quality Image Segmentation