yxsysu Goto Github PK

ccfp

Codes of ACM MM 2021 paper: Cross-Camera Feature Prediction for Intra-Camera Supervised Person Re-identification across Distant

cdl

Code for our paper: Consistent Discrepancy Learning for Intra-camera Supervised Perosn Re-Identification

diffstride

TF/Keras code for DiffStride, a pooling layer with learnable strides.

diffusion_inversion

Code for "Training on Thin Air: Improve Image Classification with Generated Data"

fd-gan

Pytorch implementation of feature distilling GAN for person reID. (NIPS18)

generative-visual-prompt

[NeurIPS 2022] Code for "Generative Visual Prompt: Unifying Distributional Control of Pre-Trained Generative Models"

metaug

mola

my_weibo

person-reid-gan-pytorch

A Pytorch Implementation of "Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro"(ICCV17)

person_reid_baseline_pytorch

Pytorch ReID: A tiny, friendly, strong pytorch implement of object re-identification baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial

pie_pose_invariant_embedding

Code for CVPR2019 PIE_pose_invariant_embedding

pose-gan

pytorch-cyclegan-and-pix2pix

Image-to-image translation in PyTorch (e.g., horse2zebra, edges2cats, and more)

rdia

reid_aer_onviper

Reid_AER

resume_en

An elegant \LaTeX\ résumé template. 大陆镜像 https://gods.coding.net/p/resume/git

sam

sam-1

SAM: Sharpness-Aware Minimization (PyTorch)

transformer-mm-explainability

[ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-based network. Including examples for DETR, VQA.

transreid-ssl

Self-Supervised Pre-Training for Transformer-Based Person Re-Identification

u-vit

A PyTorch implementation of the paper "All are Worth Words: A ViT Backbone for Diffusion Models".

versreid

(TPAMI2024) Official implementation of VersReID

wgan-gp

A pytorch implementation of Paper "Improved Training of Wasserstein GANs"