chuyihuan

chuyihuan's Stars

• KaiyangZhou/CoOp

  Prompt Learning for Vision-Language Models (IJCV'22, CVPR'22)

  Language:Python1.7k191

• NeuralCollapseApplications/FSCIL

  [ICLR 2023] The official code for our ICLR 2023 (top25%) paper: "Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class-Incremental Learning"

  Language:Python805

• YeRen123455/Infrared-Small-Target-Detection

  Language:Python32648

• zcablii/SARDet_100K

  Offical implementation of MSFA and release of SARDet_100K dataset for Large-Scale Synthetic Aperture Radar (SAR) Object Detection

  Language:Python33126

• lucidrains/vit-pytorch

  Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

  Language:Python19.7k3k

• openai/CLIP

  CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

  Language:Jupyter Notebook24.7k3.2k

• lijin118/LisGAN

  LisGAN, Leveraging the Invariant Side of Generative Zero-Shot Learning, CVPR 2019

  Language:Python7221

• miguelvalente/Invertible-Zero-Shot-Recognition-Flows

  Language:Python101

• Hanzy1996/CE-GZSL

  Codes for the CVPR 2021 paper: Contrastive Embedding for Generalized Zero-Shot Learning

  Language:Python9122

• ShuoYang-1998/Few_Shot_Distribution_Calibration

  [ICLR2021 Oral] Free Lunch for Few-Shot Learning: Distribution Calibration

  Language:Python46871

• csyanbin/TPN-pytorch

  Pytorch Code for ICLR19 paper: Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning.

  Language:Python17529

• labmlai/annotated_deep_learning_paper_implementations

  🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

  Language:Python53.9k5.6k

• QianSong-Cherry/SAR-ZSL

  Implementation of "EM Simulation-Aided Zero-Shot Learning for SAR Automatic Target Recognition".

  Language:Python56

• akshitac8/tfvaegan

  [ECCV 2020] Official Pytorch implementation for "Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification". SOTA results for ZSL and GZSL

  Language:Python12932

• znxlwm/pytorch-MNIST-CelebA-cGAN-cDCGAN

  Pytorch implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Generative Adversarial Networks (cDCGAN) for MNIST dataset

  Language:Python483127

• bcmi/CaGNet-Zero-Shot-Semantic-Segmentation

  Code for our ACMMM2020 paper "Context-aware Feature Generation for Zero-shot Semantic Segmentation".

  Language:Python23314