Popular GitHub Repositories for Patch

JavaScript 对象的差异比较与修补

[NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning; [NeurIPS 2022] MCUNetV3: On-Device Training Under 256KB Memory

The official implementation of our SIGGRAPH 2020 paper Interactive Video Stylization Using Few-Shot Patch-Based Training

[NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning

Python library for YOLO small object detection and instance segmentation

This is an unofficial implementation of the paper “PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization”.

Download Voicemod Pro - Real-Time Voice Changer & Soundboard with AI Effects for Streaming, Gaming, and Content Creation in 2025

My implementation of "Patch n’ Pack: NaViT, a Vision Transformer for any Aspect Ratio and Resolution"

Repilot, a patch generation tool introduced in the ESEC/FSE'23 paper "Copiloting the Copilots: Fusing Large Language Models with Completion Engines for Automated Program Repair"

[WACV2025] AnomalyDINO: Boosting Patch-based Few-shot Anomaly Detection with DINOv2

This is an official implementation of the paper : "Target before Shooting: Accurate Anomaly Detection and Localization under One Millisecond via Cascade Patch Retrieval" (Accepted by IEEE TIP)

Official Implementation of PiPa: Pixel- and Patch-wise Self-supervised Learning for Domain Adaptative Semantic Segmentation

Patch-wise iterative attack (accepted by ECCV 2020) to improve the transferability of adversarial examples.

TriDepth: Triangular Patch-based Deep Depth Prediction [Kaneko+, ICCVW2019(oral)]

这是CVPR 2025论文“ID-Patch：用于群体照片个性化的鲁棒身份关联”的官方实现。这项工作提出了ID-Patch，这是一种快速且鲁棒的方法，它通过视觉块和嵌入将身份特征与二维位置关联起来。

PyTorch reimplementation of FlexiViT: One Model for All Patch Sizes

A Detection Toolbox for Tensorflow2

The official implementation of "Asymmetric Patch Sampling for Contrastive Learning"

Implementation of Transformer in Transformer, pixel level attention paired with patch level attention for image classification, in Pytorch

[ICCV17] DeepCD: Learning Deep Complementary Descriptors for Patch Representations