Alternatives and similar repositories for flc_pooling

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

• steffen-jung / SpectralGAN
  Code accompanying the AAAI 2021 paper "Spectral Distribution Aware Image Generation".
  ☆24Updated 4 years ago
• KathPra / Datasets_ClimateVisions
  This repo contains the data used in "Towards Understanding Climate Change Perceptions: A Social Media Dataset"
  ☆14Updated last year
• boschresearch / ISSA
  Official implementation of "Intra-Source Style Augmentation for Improved Domain Generalization" (WACV 2023 & IJCV)
  ☆36Updated last year
• parthagrawal02 / MAE_GAN
  Masked Autoencoder meets GANs
  ☆29Updated 2 years ago
• WentianZhang-ML / AdaptiveMix
  This is an official pytorch implementation of 'AdaptiveMix: Robust Feature Representation via Shrinking Feature Space' (accepted by CVPR2…
  ☆39Updated 2 years ago
• Jiahao000 / MFM
  [ICLR 2023] Masked Frequency Modeling for Self-Supervised Visual Pre-Training
  ☆80Updated 2 years ago
• shashankskagnihotri / cospgd
  The official repository for CosPGD: a unified white-box adversarial attack for pixel-wise prediction tasks.
  ☆14Updated 7 months ago
• sihaoevery / lambda_vit
  ☆23Updated last year
• soumik-kanad / diffssl
  Code for the paper "Do text-free diffusion models learn discriminative visual representations?"
  ☆32Updated 2 years ago
• yunqing-me / RICK
  [CVPR-2023] The IEEE/CVF Conference on Computer Vision and Pattern Recognition
  ☆24Updated 2 years ago
• hellomuffin / exif-as-language
  official repo for the paper "EXIF as Language: Learning Cross-Modal Associations Between Images and Camera Metadata"
  ☆49Updated 2 years ago
• guillaumejs2403 / DiME
  Official Code for the ACCV 2022 paper Diffusion Models for Counterfactual Explanations
  ☆29Updated 9 months ago
• JinXins / SUMix
  About Official PyTorch(MMCV) implementation of “SUMix: Mixup with Semantic and Uncertain Information” (ECCV 2024)
  ☆13Updated last year
• haoweiz23 / DistDiff
  [NeurIPS 2024] The official repository of "Distribution-Aware Data Expansion with Diffusion Models".
  ☆16Updated last week
• ZhouYuxuanYX / SP-ViT-Learning-2D-Spatial-Priors-for-Vision-Transformers
  This is the official implementation of our BMVC 2022 paper "SP-ViT: Learning 2D Spatial Priors for Vision Transformers"
  ☆12Updated 2 years ago
• roymiles / VkD
  [CVPR 2024] VkD : Improving Knowledge Distillation using Orthogonal Projections
  ☆57Updated last year
• sndnyang / Diffusion_ViT
  PyTorch Implementation of "Your ViT is Secretly a Hybrid Discriminative-Generative Diffusion Model"
  ☆49Updated 3 years ago
• kai422 / SCALE
  [ICLR 2024] Scaling for Training Time and Post-hoc Out-of-distribution Detection Enhancement.
  ☆14Updated last year
• moatifbutt / awesome-diffusion-ECCV-2024
  List of diffusion papers accepted in ECCV 2024.
  ☆15Updated last year
• yongchaoz / diffusion_inversion
  Code for "Training on Thin Air: Improve Image Classification with Generated Data"
  ☆48Updated 2 years ago
• media-sec-lab / ViT-VAE
  ☆29Updated 2 years ago
• guillaumejs2403 / ACE
  This repository contains the official code for the CVPR 2023 paper ``Adversarial Counterfactual Visual Explanations''
  ☆46Updated 9 months ago
• VITA-Group / ViT-Anti-Oversmoothing
  [ICLR 2022] "Anti-Oversmoothing in Deep Vision Transformers via the Fourier Domain Analysis: From Theory to Practice" by Peihao Wang, Wen…
  ☆82Updated last year
• visinf / adapter_plus
  Adapters Strike Back (CVPR 2024)
  ☆39Updated last year
• gqk / R-DFCIL
  R-DFCIL: Relation-Guided Representation Learning for Data-Free Class Incremental Learning, ECCV2022 [PyTorch Code]
  ☆15Updated 3 years ago
• nis-research / nn-frequency-shortcuts
  Frequency Shortcuts in Neural Networks
  ☆21Updated last year
• oppo-us-research / FA-VAE
  Description： Frequency Augmented Variational Autoencoder for better Image Reconstruction
  ☆44Updated 2 years ago
• jovitalukasik / AG-Net
  Code for "Learning Where To Look – Generative NAS is Surprisingly Efficient"
  ☆15Updated 3 years ago
• yue-zhongqi / diti
  Code release for ICLR 2024 paper: Exploring Diffusion Time-steps for Unsupervised Representation Learning
  ☆32Updated last year
• Nithin-GK / UniteandConquer
  [CVPR '23] Unite and Conquer: Plug & Play Multi-Modal Synthesis using Diffusion Models
  ☆36Updated last year