Label Studio is a multi-type data labeling and annotation tool with standardized output format

Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.

Quick start guide for benchmarking MagicBathyNet dataset in learning-based bathymetry and pixel-based classification using Remote Sensing imagery.

Webpage for deep learning based remote sensing and biomonitoring.

💎 Transparent objects such as windows and bottles made by glass widely exist in the real world. Segmenting transparent objects is challenging because these objects have diverse appearance inherited from the image background, making them had similar appearance with their surroundings.

PyTorch implementation for Semantic Segmentation, include FCN, U-Net, SegNet, GCN, PSPNet, Deeplabv3, Deeplabv3+, Mask R-CNN, DUC, GoogleNet, and more dataset

🌱 SNE-RoadSeg in PyTorch, ECCV 2020 by Rui (Ranger) Fan & Hengli Wang, but now we have improved it.

ICASSP 2023-2024 Papers: A complete collection of influential and exciting research papers from the ICASSP 2023-24 conferences. Explore the latest advancements in acoustics, speech and signal processing. Code included. Star the repository to support the advancement of audio and signal processing!

autoupdate paper list

A novel deep learning solution for the automatic roofing material classification of the Dutch building stock using aerial imagery and laser scanning data fusion.

Image dataset relalignment workflow with computer vision, plus automated river segmentation using Meta's SAM.

[CVPR 2024 Oral] InternVL Family: A Pioneering Open-Source Alternative to GPT-4V. 接近GPT-4V表现的可商用开源多模态对话模型

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

This is the official repository for our recent work: PIDNet

Summary of RGB-T Salient Object Detection, Semantic segmentation and Crowd Counting.

A coding-free framework built on PyTorch for reproducible deep learning studies. 🏆25 knowledge distillation methods presented at CVPR, ICLR, ECCV, NeurIPS, ICCV, etc are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.

Three-stage binarization of color document images based on discrete wavelet transform and generative adversarial networks

This repository contains the source code for my paper on masked face segmentation. Utilizing PyTorch, we developed a deep learning segmentation network to accurately identify mask regions on faces.

Neural Network Compression Framework for enhanced OpenVINO™ inference