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[R] We taught generative models to segment ONLY furniture and cars, but they somehow generalized to basically everything else....
Started using new Gemini Pro for regular queries, and SuperGrok for image generation. What about you?
I saw a project that I'm interested in: 3DTown: Constructing a 3D Town from a Single Image
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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), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
yolov7
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
boxmot
BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models
Swin-Transformer
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".