Alternatives and similar repositories for Prototype:

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

• niliusha123 / Margin-based-Softmax
  the pytorch implementation of SubCenterArcface and sphereface2. And i add the prove of easy_margin part of Arcface in the codes.
  ☆12Updated 3 years ago
• guybuk / ANCOR
  Fine-grained Angular Contrastive Learning with Coarse Labels - Official Repository
  ☆49Updated 3 years ago
• deepglint / ALIP
  [ICCV 2023] ALIP: Adaptive Language-Image Pre-training with Synthetic Caption
  ☆97Updated last year
• xunge / pytorch_lmdb_imagenet
  Use lmdb to speed up imagenet dataset
  ☆97Updated 3 years ago
• vtddggg / Robust-Vision-Transformer
  The implementation of our paper: Towards Robust Vision Transformer (CVPR2022)
  ☆140Updated 2 years ago
• Sense-X / TokenMix
  TokenMix: Rethinking Image Mixing for Data Augmentation in Vision Transformers (ECCV 2022)
  ☆93Updated 2 years ago
• eddielyc / Augmented-Geometric-Distillation
  Official code for Augmented Geometric Distillation
  ☆19Updated 3 years ago
• szq0214 / FKD
  Official code for our ECCV'22 paper "A Fast Knowledge Distillation Framework for Visual Recognition"
  ☆182Updated 9 months ago
• MouxiaoHuang / DUL
  PyTorch implementation of DUL (Data Uncertainty Learning in Face Recognition, CVPR2020)
  ☆37Updated last year
• BUPT-PRIV / MAE-priv
  ☆39Updated last year
• zhengxiawu / DGRL_OPFE
  ☆11Updated 6 years ago
• jiawei-ren / BalancedMetaSoftmax-Classification
  [NeurIPS 2020] Balanced Meta-Softmax for Long-Tailed Visual Recognition
  ☆137Updated 3 years ago
• layumi / U_turn
  IJCV22 Attack your retrieval model via Query! They are not robust as you expected!
  ☆46Updated 2 years ago
• Bazinga699 / NCL
  [CVPR2022] This repository contains code for the paper "Nested Collaborative Learning for Long-Tailed Visual Recognition", published at C…
  ☆84Updated 8 months ago
• LutingWang / HEAD
  HEtero-Assists Distillation for Heterogeneous Object Detectors
  ☆10Updated last year
• frank-xwang / RIDE-LongTailRecognition
  [ICLR 2021 Spotlight] Code release for "Long-tailed Recognition by Routing Diverse Distribution-Aware Experts."
  ☆266Updated last year
• dvlab-research / MiSLAS
  Improving Calibration for Long-Tailed Recognition (CVPR2021)
  ☆146Updated 3 years ago
• shenyunhang / xmu-thesis-grd
  厦门大学研究生学位论文 LaTeX 模板
  ☆27Updated 3 years ago
• xyupeng / ContrastiveCrop
  [CVPR 2022 Oral] Crafting Better Contrastive Views for Siamese Representation Learning
  ☆286Updated 2 years ago
• zhoudaquan / dvit_repo
  ☆137Updated 3 years ago
• VainF / Data-Free-Adversarial-Distillation
  Code and pretrained models for paper: Data-Free Adversarial Distillation
  ☆95Updated 2 years ago
• DIG-Beihang / RobustART
  The first comprehensive Robustness investigation benchmark on large-scale dataset ImageNet regarding ARchitecture design and Training tec…
  ☆147Updated 2 years ago
• xunguangwang / ProS-GAN
  [CVPR 2021] Official repository for "Prototype-supervised Adversarial Network for Targeted Attack of Deep Hashing"
  ☆36Updated 2 years ago
• haohang96 / MRA
  ☆58Updated 2 years ago
• anguyen8 / deepface-emd
  Code for CVPR 2022 https://arxiv.org/abs/2112.04016 DeepFace-EMD Re-ranking Using Patch-wise Earth Movers Distance Improves Out-Of-Distri…
  ☆54Updated last year
• Ontheway361 / dul-pytorch
  [2020-CVPR]Data Uncertainty Learning in Face Recognition
  ☆165Updated 6 months ago
• Muzammal-Naseer / IPViT
  Official repository for "Intriguing Properties of Vision Transformers" (NeurIPS 2021--Spotlight)
  ☆176Updated 2 years ago
• ChangyaoTian / VL-LTR
  VL-LTR: Learning Class-wise Visual-Linguistic Representation for Long-Tailed Visual Recognition
  ☆66Updated 2 years ago
• jiawei-ren / BalancedMetaSoftmax
  [NeurIPS 2020] Code for the paper "Balanced Meta-Softmax for Long-Tailed Visual Recognition"
  ☆74Updated 4 years ago
• ggjy / FastMIM.pytorch
  FastMIM, official pytorch implementation of our paper "FastMIM: Expediting Masked Image Modeling Pre-training for Vision"(https://arxiv.o…
  ☆39Updated 2 years ago