Alternatives and similar repositories for CSE-Autoloss

Users that are interested in CSE-Autoloss are comparing it to the libraries listed below

• jiawei-ren / BalancedMetaSoftmax
  [NeurIPS 2020] Code for the paper "Balanced Meta-Softmax for Long-Tailed Visual Recognition"
  ☆76Updated 4 years ago
• zengarden / momentum2-teacher
  Implementation of momentum^2 teacher
  ☆121Updated 4 years ago
• yuhuixu1993 / BNET
  Batch Normalization with Enhanced Linear Transformation
  ☆53Updated last year
• V2AI / SelfSup
  Collections of self-supervised methods, based on cvpods.
  ☆58Updated 4 years ago
• alldbi / SuperMix
  Pytorch implementation of CVPR2021 paper: SuperMix: Supervising the Mixing Data Augmentation
  ☆92Updated 3 years ago
• ChengyueGongR / PatchVisionTransformer
  ☆73Updated 2 years ago
• dddzg / unimoco
  UniMoCo: Unsupervised, Semi-Supervised and Full-Supervised Visual Representation Learning
  ☆55Updated 4 years ago
• JoyHuYY1412 / LST_LVIS
  ☆48Updated 5 years ago
• TengdaHan / ShuffleBN
  A ShuffleBatchNorm layer to shuffle BatchNorm statistics across multiple GPUs
  ☆56Updated 3 years ago
• Awesome-AutoAug-Algorithms / AWS-OHL-AutoAug
  An integration of several popular automatic augmentation methods, including OHL (Online Hyper-Parameter Learning for Auto-Augmentation St…
  ☆48Updated 4 years ago
• bl0 / PIC
  Parametric Instance Classification for Unsupervised Visual Feature Learning, NeurIPS 2020
  ☆52Updated 4 years ago
• sundw2014 / DKS
  Deeply-supervised Knowledge Synergy (CVPR'2019)
  ☆67Updated 4 years ago
• DTennant / CL-Visualizing-Feature-Transformation
  Improving Contrastive Learning by Visualizing Feature Transformation, ICCV 2021 Oral
  ☆90Updated 4 years ago
• VDIGPKU / DADA
  [ECCV 2020] DADA: Differentiable Automatic Data Augmentation
  ☆191Updated 2 years ago
• Tangshitao / CENet
  Channel Equilibrium Networks for Learning Deep Representation, ICML2020
  ☆22Updated 5 years ago
• zhmiao / OpenCompoundDomainAdaptation-OCDA
  Pytorch implementation for "Open Compound Domain Adaptation" (CVPR 2020 ORAL)
  ☆140Updated 4 years ago
• jwyang / C3Net.pytorch
  Pytorch code for our NeurIPS 2019 paper "Cross-channel Communication Networks"
  ☆41Updated 5 years ago
• fundamentalvision / Auto-Seg-Loss
  Auto Seg-Loss: Searching Metric Surrogates for Semantic Segmentation
  ☆66Updated 2 years ago
• oskyhn / CNNs-Without-Borders
  Official repository of CVPR 2020 paper "On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location"
  ☆70Updated 4 years ago
• megvii-model / AngleNAS
  ☆54Updated 5 years ago
• fundamentalvision / Parameterized-AP-Loss
  ☆50Updated 2 years ago
• lorenmt / shape-adaptor
  The implementation of "Shape Adaptor: A Learnable Resizing Module" [ECCV 2020].
  ☆73Updated 4 years ago
• blackfeather-wang / InfoPro-Pytorch
  Learning recognition/segmentation models without end-to-end training. 40%-60% less GPU memory footprint. Same training time. Better perfo…
  ☆90Updated 3 years ago
• Howal / DNL-Object-Detection
  Disentangled Non-Local Neural Networks
  ☆81Updated 4 years ago
• jiangtaoxie / SoT
  SoT: Delving Deeper into Classification Head for Transformer
  ☆50Updated 3 years ago
• d-li14 / DHM
  [CVPR 2020] Dynamic Hierarchical Mimicking Towards Consistent Optimization Objectives
  ☆84Updated 5 years ago
• lxtGH / QueryPanSeg
  Query Learning of Both Thing and Stuff for Panoptic Segmentation-ICIP-2022
  ☆15Updated 3 years ago
• Megvii-BaseDetection / DisAlign
  Implementation of "Distribution Alignment: A Unified Framework for Long-tail Visual Recognition"(CVPR 2021)
  ☆118Updated 3 years ago
• FreeformRobotics / Divide-and-Co-training
  [TIP 2022] Towards Better Accuracy-efficiency Trade-offs: Divide and Co-training. Plus, an image classification toolbox includes ResNet, …
  ☆107Updated 3 years ago
• bellymonster / Weighted-Soft-Label-Distillation
  ☆58Updated 4 years ago