Let us control diffusion models!

Official implementation of `MobileMamba: Lightweight Multi-Receptive Visual Mamba Network.'

Official implementation for AnomalyCLIP (ICLR 2024)

Refine high-quality datasets and visual AI models

[ECCV 2024] Few-Shot Anomaly-Driven Generation for Anomaly Detection

(ECCV 2024) VCP-CLIP: A visual context prompting model for zero-shot anomaly segmentation

[ECCV 2024] Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt

CSTrans: Correlation-guided Self-Activation transformer for counting everything

Official pytorch repository for Scalable, Detailed and Mask-free Universal Photometric Stereo (CVPR2023)

[NeurIPS 2022] Decoupling Classifier for Boosting Few-shot Object Detection and Instance Segmentation

Official implementation of SCLIP: Rethinking Self-Attention for Dense Vision-Language Inference

This is Pytorch Implementation Code for adding new features in code of Segment-Anything. Here, the features support batch-input on the full-grid prompt (automatic mask generation) with post-process…

Paper list and datasets for industrial image anomaly/defect detection (updating). 工业异常/瑕疵检测论文及数据集检索库(持续更新)。

[PR] How to Reduce Change Detection to Semantic Segmentation

Few Shot Object Detection Papers

[TIP] Learning to Discover Multi-Class Attentional Regions for Multi-Label Image Recognition

[TIP] Deep Label Distribution Learning with Label Ambiguity

The saliency-based is a distortion layer for convolutional neural networks that helps to improve the spatial sampling of input data for a given task.

天池2019广东工业智造创新大赛 布匹疵点检测 天池水也太深了 季军解决方案

Evolutionary algorithm toolbox and framework with high performance for Python

[IJCAI 2018] Age Estimation Using Expectation of Label Distribution Learning

📚 Freely available programming books

DSP

Coordinate Descent Fuzzy Twin Support Vector Machine for Classification

FR-TSVM

use pytorch to do image classfiication tasks

A real-time object detection framework of Yolov3/v4 based on caffe