Alternatives and similar repositories for dgmp:

Users that are interested in dgmp are comparing it to the libraries listed below

• cogsys-tuebingen / FourierNet
  ☆45Updated 2 years ago
• EthanZhangYC / OD-cheap-convolution
  PyTorch implementation for OD-cheap-convolution.
  ☆20Updated 5 years ago
• jizongFox / deep-clustering-toolbox
  PyTorch Vision Toolbox not only for deep-clustering
  ☆29Updated 2 years ago
• PotatoTian / recall-semseg
  ☆44Updated 3 years ago
• jia2lin3yuan1 / 2020-instanceSeg
  Deep Variational Instance Segmentation
  ☆27Updated 4 years ago
• lonePatient / EvoNorms_PyTorch
  Evolving Normalization-Activation Layers
  ☆19Updated 4 years ago
• ZhangLi-CS / GCP_Optimization
  ☆28Updated 4 years ago
• osu-cvl / revisiting-bn-init
  Code for "Revisiting Batch Norm Initialization".
  ☆12Updated 2 years ago
• YunChunChen / WeakMatchNet
  Deep Semantic Matching with Foreground Detection and Cycle-Consistency, ACCV 2018
  ☆12Updated 6 years ago
• islamamirul / PermuteNet
  ☆32Updated 2 years ago
• ESanchezLozano / SAIC-Unsupervised-landmark-detection-NeurIPS2019
  Code for paper "Object landmark discovery through unsupervised adaptation"
  ☆36Updated 5 years ago
• joe-siyuan-qiao / Batch-Channel-Normalization
  ☆49Updated 5 years ago
• sofmonk / class_agnostic_loss_saliency
  ☆19Updated 4 years ago
• d-li14 / dot-product-attention
  A collection of self-attention modules and pre-trained backbones
  ☆13Updated 4 years ago
• vov-net / VoVNet-Detectron
  Detectron with VoVNet(CVPRW'19) backbone networks
  ☆17Updated 5 years ago
• HolmesShuan / Location-aware-Upsampling-for-Semantic-Segmentation
  The Pytorch implementation of "Location-aware Upsampling for Semantic Segmentation" (LaU)
  ☆53Updated 5 years ago
• bellatong / MEUNet
  ☆10Updated 3 years ago
• GuHongyang / AM-LFS-PyTorch
  The reproduce for "AM-LFS: AutoML for Loss Function Search"
  ☆14Updated 4 years ago
• jonnedtc / Squeeze-Excitation-PyTorch
  Squeeze-and-Excitation module for convolutional neural networks written in PyTorch
  ☆23Updated 6 years ago
• YimianDai / open-atac
  code and trained models for "Attention as Activation"
  ☆19Updated 4 years ago
• fmcarlucci / ADAGE
  Pytorch implementation of "Hallucinating Agnostic Images to Generalize Across Domains"
  ☆11Updated 5 years ago
• d-li14 / SAN
  [ECCV 2020] Scale Adaptive Network: Learning to Learn Parameterized Classification Networks for Scalable Input Images
  ☆43Updated 4 years ago
• HankKung / DistNAS-for-Semantic-Segmentation
  Distributed Network Architecture Search
  ☆8Updated 5 years ago
• LTTM / GMNet
  Official Code for "GMNet: Graph Matching Network for Large Scale Part Semantic Segmentation in the Wild", U. Michieli, E. Borsato, L. Ros…
  ☆28Updated 4 years ago
• hanktseng131415go / UPANets
  The implement code of UPANets: Learning from the Universal Pixel Attention Networks
  ☆14Updated 4 years ago
• etetteh / sota-data-augmentation-and-optimizers
  This repository contains some of the latest data augmentation techniques and optimizers for image classification using pytorch and the CI…
  ☆29Updated 3 years ago
• Elin24 / PSPL
  The implementation of ICASSP 2020 paper "Pixel-level self-paced learning for super-resolution"
  ☆40Updated 4 years ago
• ambekarsameer96 / GLSS
  Code for the paper 'Skin Segmentation from NIR Images using Unsupervised Domain Adaptation through Generative Latent Search'. Accepted in…
  ☆33Updated 4 years ago
• VITA-Group / Sandwich-Batch-Normalization
  [WACV 2022] "Sandwich Batch Normalization: A Drop-In Replacement for Feature Distribution Heterogeneity" by Xinyu Gong, Wuyang Chen, Tian…
  ☆50Updated 3 years ago
• leftthomas / DANet
  A PyTorch implementation of DANet based on CVPR 2019 paper "Dual Attention Network for Scene Segmentation"
  ☆11Updated 5 years ago