SCY-X

SCY-X's Stars

• gpleiss/efficient_densenet_pytorch

  A memory-efficient implementation of DenseNets

  Language:Python1.5k327

• SCY-X/D3still

  1

• asd123pwj/asdTools

  Simple tools for simple goals.

  Language:Python4

• zjykzj/SimpleIR

  [EXTRACT][RETRIEVAL][METRIC]A Simple Framework for Image Retrieval

  Language:Python92

• Andrew-Brown1/Smooth_AP

  code for the ECCV '20 paper "Smooth-AP: Smoothing the Path Towards Large-Scale Image Retrieval"

  Language:Python19732

• SCY-X/Capacity_Dynamic_Distillation

  Language:Python4

• pavelsuma/raml

  Resolution Asymmetric Metric Learning

  Language:Python162

• KevinMusgrave/powerful-benchmarker

  A library for ML benchmarking. It's powerful.

  Language:Jupyter Notebook42544

• zhangyifei01/SEED_ICLR21

  SEED: Self-supervised Distillation for Visual Representation

  Language:Python12

• AberHu/Knowledge-Distillation-Zoo

  Pytorch implementation of various Knowledge Distillation (KD) methods.

  Language:Python1.6k265

• passalis/pkth

  Implementation of the Heterogeneous Knowledge Distillation using Information Flow Modeling method

  Language:Python246

• qiaofengsheng/cvpr2022_biometrics_challenge

  CVPR2022 Biometrics Workshop Pet Biometric Challenge

  Language:Python1

• ViTAE-Transformer/ViTAE-VSA

  The official repo for [ECCV'22] "VSA: Learning Varied-Size Window Attention in Vision Transformers"

  Language:Python1559

• ViTAE-Transformer/ViTAE-Transformer-Matting

  A comprehensive list [AIM@IJCAI'21, P3M@MM'21, GFM@IJCV'22, RIM@CVPR'23, P3MNet@IJCV'23] of our research works related to image matting, including papers, codes, datasets, demos, and citations. Note: The repo for [IJCV'23] "Rethinking Portrait Matting with Privacy Preserving" has been moved to: https://github.com/ViTAE-Transformer/P3M-Net

  Language:TeX22924

• ViTAE-Transformer/ViTAE-Transformer-Remote-Sensing

  A comprehensive list [SAMRS@NeurIPS'23, RVSA@TGRS'22, RSP@TGRS'22] of our research works related to remote sensing, including papers, codes, and citations. Note: The repo for [TGRS'22] "An Empirical Study of Remote Sensing Pretraining" has been moved to: https://github.com/ViTAE-Transformer/RSP

  Language:TeX44953

• ViTAE-Transformer/ViTAE-Transformer

  The official repo for [NeurIPS'21] "ViTAE: Vision Transformer Advanced by Exploring Intrinsic Inductive Bias" and [IJCV'22] "ViTAEv2: Vision Transformer Advanced by Exploring Inductive Bias for Image Recognition and Beyond"

  Language:Python24928

• ViTAE-Transformer/ViTDet

  Unofficial implementation for [ECCV'22] "Exploring Plain Vision Transformer Backbones for Object Detection"

  Language:Python52646

• seo3650/Contrastive_Representation_Distillation

  Language:Python53

• FLHonker/Awesome-Knowledge-Distillation

  Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。

  2.5k335

• blank-neo/crawler

  提供图片，获取百度识图的结果的爬虫。

  Language:Python61

• Julen96/Plant-Pathology-2020-FGVC7

  Kaggle competition with Fine Grained Visual Categorization

  Language:Jupyter Notebook51

• lippman1125/channel_pruning_lasso

  channel pruning for accelerating very deep neural networks

  Language:Python115

• HobbitLong/RepDistiller

  [ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods

  Language:Python2.2k395

• leaderj1001/LambdaNetworks

  Implementing Lambda Networks using Pytorch

  Language:Python13822

• huggingface/pytorch-image-models

  The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

  Language:Python31.6k4.7k

• JDAI-CV/fast-reid

  SOTA Re-identification Methods and Toolbox

  Language:Python3.4k832

• feymanpriv/pymetric

  pytorch metric learning tools and pycls

  Language:Python778

• layumi/Vehicle_reID-Collection

  :red_car: the collection of vehicle re-ID papers, datasets. :red_car:

  45451

• lhyfst/knowledge-distillation-papers

  knowledge distillation papers

  73682

• BravoLu/OpenVehicleReID

  strong Vehicle Re-ID baseline framework.

  Language:Python6210