Alternatives and similar repositories for dot-product-attention:

Users that are interested in dot-product-attention are comparing it to the libraries listed below

• HolmesShuan / Location-aware-Upsampling-for-Semantic-Segmentation
  The Pytorch implementation of "Location-aware Upsampling for Semantic Segmentation" (LaU)
  ☆53Updated 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
• liuzhuang13 / Transferable_RA
  ☆36Updated 2 years ago
• yu-changqian / RepGraph
  Representative Graph Neural Network
  ☆36Updated 4 years ago
• dmitrii-marin / adaptive-sampling
  Efficient Segmentation: Learning Downsampling Near Semantic Boundaries
  ☆31Updated 4 years ago
• joe-siyuan-qiao / Batch-Channel-Normalization
  ☆49Updated 5 years ago
• cogsys-tuebingen / FourierNet
  ☆45Updated 2 years ago
• Jacobew / AutoPanoptic
  Implementation of NeurIPS2020 paper: Auto-Panoptic: Multi-Component Architecture Search for Panoptic Segmentation
  ☆20Updated 4 years ago
• leftthomas / EMANet
  A PyTorch implementation of EMANet based on ICCV 2019 paper "Expectation-Maximization Attention Networks for Semantic Segmentation"
  ☆19Updated 5 years ago
• ofsoundof / learning_filter_basis
  Pytorch implemenation of "Learning Filter Basis for Convolutional Neural Network Compression" ICCV2019
  ☆18Updated 3 years ago
• YimianDai / open-atac
  code and trained models for "Attention as Activation"
  ☆19Updated 4 years ago
• uzielroy / BASS
  Bayesian Adaptive Superpixel Segmentation (ICCV 2019)
  ☆22Updated 5 years ago
• junfu1115 / DRAN
  Scene Segmentation with Dual Relation-aware Attention Network (TNNLS2020)
  ☆42Updated 4 years ago
• longxianlei / G-ResNeXt_GroupNet
  re-implement of Group ConvNet, also be called as G-ResNext. It's from the paper, reproduction of the paper "Differentiable Learning-to-Gr…
  ☆20Updated 5 years ago
• HolmesShuan / Compact-Global-Descriptor
  Pytorch implementation of "Compact Global Descriptor for Neural Networks" (CGD).
  ☆25Updated 2 months ago
• lanyunzhu99 / DGCWNet
  Distance Guided Channel Weighting for Semantic Sgementation (https://arxiv.org/abs/2004.12679)
  ☆14Updated 4 years ago
• Eli-YiLi / ScaleNet
  Data-Driven Neuron Allocation for Scale Aggregation Networks
  ☆52Updated 5 years ago
• jun0kim / DKN
  DKN code
  ☆44Updated 5 years ago
• jdc08161063 / spatio-temporal-embedding
  Code accompanying the ICLR 2020 submission: Learning a Spatio-Temporal Embedding for Video Instance Segmentation.
  ☆19Updated 5 years ago
• hustvl / BoxCaseg
  ☆14Updated 3 years ago
• islamamirul / PermuteNet
  ☆32Updated 2 years ago
• jia2lin3yuan1 / 2020-instanceSeg
  Deep Variational Instance Segmentation
  ☆27Updated 4 years ago
• ActiveVisionLab / BNInterpolation
  Training scripts and Python modules for the ECCV 2018 paper "Interpolating Convolutional Networks Using Batch Normalization"
  ☆12Updated 4 years ago
• yuhuan-wu / RDPNet
  (IEEE TIP 2021) Regularized Densely-connected Pyramid Network for Salient Instance Segmentation
  ☆44Updated 7 months ago
• hmellor / pytorch-superpixels
  A way to use superpixels at run-time with Pytorch
  ☆33Updated last year
• dongzhang89 / SR-SS
  Implementation for paper: Self-Regulation for Semantic Segmentation
  ☆31Updated 3 years ago
• shipra25jain / ESSNet
  Embedding-based Scalable Segmentation Network
  ☆28Updated 2 years ago
• Dawars / auto_deeplab-pytorch
  [wip] Implementation of found architecture in Auto Deeplab
  ☆30Updated 6 years ago
• dontLoveBugs / SideWindowFilter
  The Pytorch Implementation of Side Window Filtering
  ☆44Updated 5 years ago
• scenarios / Probabilistic3DCNN
  Spatiotemporal Fusion in 3D CNNs: A Probabilistic View
  ☆27Updated 4 years ago