1. Deeplab V3 Plus CityscapesmIOU=80.02 on cityscapes. My implementation of deeplabv3+ (also know as 'Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation' based on the dataset of cityscapes).
2. Pytorch Losslabel-smooth, amsoftmax, focal-loss, triplet-loss, lovasz-softmax. Maybe useful
3. BisenetAdd bisenetv2. My implementation of BiSeNet
5. SphereReIDMy implementation of paper: SphereReID: Deep Hypersphere Manifold Embedding for Person Re-Identification
7. triplet-reid-pytorchMy implementation of the paper [In Defense of the Triplet Loss for Person Re-Identification]