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layumi のリポジトリ

225 件の対応リポジトリ

Pytorch implementation of Self-Attention Generative Adversarial Networks (SAGAN)

最終コミット 2018/06/14

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Official code for our paper: "SketchThinker-R1: Towards Efficient Sketch-Style Reasoning in Large Multimodal Models".

最終コミット 2025/11/03

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layumi/TTURJupyter Notebook

Two time-scale update rule for training GANs

最終コミット 2019/03/06

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最終コミット 2021/01/20

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ACM MM Workshop on UAVs in Multimedia: Capturing the World from a New Perspective (UAVM 2023)

最終コミット 2026/07/04

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最終コミット 2025/09/30

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UTS Person-reID Practical By Zhedong Zheng

最終コミット 2018/09/06

 (18 stars) (1 fork) (0 件の索引済み issue) (0 件のオープンな good first issue)

IJCV22 :see_no_evil: Attack your retrieval model via Query! They are not robust as you expected! :hear_no_evil:

最終コミット 2022/11/30

 (48 stars) (2 forks) (0 件の索引済み issue) (0 件のオープンな good first issue)

ACM Multimedia2020 University-1652: A Multi-view Multi-source Benchmark for Drone-based Geo-localization :helicopter: annotates 1652 buildings in 72 universities around the world.

最終コミット 2026/08/10

 (672 stars) (92 forks) (0 件の索引済み issue) (0 件のオープンな good first issue)

triplet loss with hard negative / soft margin for the University-1652 dataset.

最終コミット 2020/07/12

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This is the project page for veri dataset which is a large scale image dataset for vehicle re-identification in urban traffic surveillance.

最終コミット 2019/12/13

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

最終コミット 2025/03/13

 (513 stars) (56 forks) (0 件の索引済み issue) (0 件のオープンな good first issue)

Official Repo for ICCV25-Video2BEV: Transforming Drone Videos to BEVs for Video-based Geo-localization

最終コミット 2025/10/31

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a simple api for matlab to search semantic synonym

最終コミット 2017/05/11

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最終コミット 2023/01/02

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zhedong zheng's blog

最終コミット 2016/12/31

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Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

最終コミット 2024/05/31

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This is a library dedicated to adversarial machine learning. Its purpose is to allow rapid crafting and analysis of attacks and defense methods for machine learning models. The Adversarial Robustness Toolbox provides an implementation for many state-of-the-art methods for attacking and defending classifiers. https://developer.ibm.com/code/open/projects/adversarial-robustness-toolbox/

最終コミット 2018/10/04

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Awesome Public Datasets Core

最終コミット 2018/01/24

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