djene-mengistu
Postdoctoral researcher Machine vision and deep learning
Xidian UniversityXi'an, Shaanxi, China
Pinned Repositories
afa
[CVPR 2022] Learning Affinity from Attention: End-to-End Weakly-Supervised Semantic Segmentation with Transformers
anomalib
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
AnomalyGPT
The first LVLM based IAD method!
awesome-attention-mechanism-in-cv
Awesome List of Attention Modules and Plug&Play Modules in Computer Vision
Awesome-Segment-Anything
This repository is for the first comprehensive survey on Meta AI's Segment Anything Model (SAM).
dseg_models
This repo contains implementation of deep learning-based steel surface defect segmentation models.
Inpaint-Anything
Inpaint anything using Segment Anything and inpainting models.
Machine-Vision-and-Anomaly-Detection-Papers
This repo contains state-of-the-art deep learning models for industrial anomaly detection, defect segmentation, detection, and classification, with other industrial machine vision applications.
simEps
This repo contains implementation of semi-supervised defect segmentation based on pairwise similarity map consistency and ensemble-based cross pseudo labels
UAPS
This repo contains implementation of uncertainty estimation, rectification, and minimization for guiding the pseudo-label learning in semi-supervised defect segmentation setting.
djene-mengistu's Repositories
djene-mengistu/UAPS
This repo contains implementation of uncertainty estimation, rectification, and minimization for guiding the pseudo-label learning in semi-supervised defect segmentation setting.
djene-mengistu/dseg_models
This repo contains implementation of deep learning-based steel surface defect segmentation models.
djene-mengistu/simEps
This repo contains implementation of semi-supervised defect segmentation based on pairwise similarity map consistency and ensemble-based cross pseudo labels
djene-mengistu/Machine-Vision-and-Anomaly-Detection-Papers
This repo contains state-of-the-art deep learning models for industrial anomaly detection, defect segmentation, detection, and classification, with other industrial machine vision applications.
djene-mengistu/Inpaint-Anything
Inpaint anything using Segment Anything and inpainting models.
djene-mengistu/AnomalyGPT
The first LVLM based IAD method!
djene-mengistu/Awesome-explainable-AI
A collection of research materials on explainable AI/ML
djene-mengistu/Awesome-Incremental-Learning
Awesome Incremental Learning
djene-mengistu/awesome-industrial-anomaly-detection
Paper list and datasets for industrial image anomaly detection.
djene-mengistu/Awesome-Interaction-Aware-Trajectory-Prediction
A selection of state-of-the-art research materials on trajectory prediction
djene-mengistu/Awesome-Segment-Anything
This repository is for the first comprehensive survey on Meta AI's Segment Anything Model (SAM).
djene-mengistu/Awesome-Trajectory-Motion-Prediction-Papers
djene-mengistu/Awesome-Weakly-Supervised-Semantic-Segmentation-Papers
Recent weakly supervised semantic segmentation paper
djene-mengistu/CoA-JSSP
djene-mengistu/DeepLearning-VIP-book
Understanding Deep Learning - Simon J.D. Prince
djene-mengistu/Defect_classification
This repository contains implementation of ResNet for surface defect classification, with detailed analysis of results.
djene-mengistu/djene-mengistu
djene-mengistu/djene-mengistu.github.io
djene-mengistu/End-to-end-Autonomous-Driving
All you need for End-to-end Autonomous Driving
djene-mengistu/Grounded-Segment-Anything
Grounded-SAM: Marrying Grounding-DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
djene-mengistu/GroundingDINO
Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"
djene-mengistu/SAM4MIS
Segment Anything Model for Medical Image Segmentation: paper list and open-source project summary
djene-mengistu/Semantic-SAM
Official implementation of the paper "Semantic-SAM: Segment and Recognize Anything at Any Granularity"
djene-mengistu/ssn-pytorch
PyTorch implementation of Superpixel Sampling Networks
djene-mengistu/Transformers-Tutorials
This repository contains demos I made with the Transformers library by HuggingFace.
djene-mengistu/vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
djene-mengistu/AI-For-Beginners
12 Weeks, 24 Lessons, AI for All!
djene-mengistu/CLIPSeg
This repository contains the code of the CVPR 2022 paper "Image Segmentation Using Text and Image Prompts".
djene-mengistu/GPT4V-for-Generic-Anomaly-Detection
[Arxiv] Towards Generic Anomaly Detection and Understanding: Large-scale Visual-linguistic Model (GPT-4V) Takes the Lead.
djene-mengistu/Semantic-Fast-SAM
SSA + FastSAM/Semantic Fast Segment Anything