Papers related to remote sensing in CVPR 2024

The open-source tool for building high-quality datasets and computer vision models

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)。

Valeo Anomaly Dataset (VAD)

A Python package for extending the official PyTorch that can easily obtain performance on Intel platform

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Wasserstein Adversarial Active Learning

Kolmogorov Arnold Networks

Performance monitoring and benchmarking suite

Offical implementation of "RealNet: A Feature Selection Network with Realistic Synthetic Anomaly for Anomaly Detection (CVPR 2024)"

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

This is the code to the WACV 2023 paper "Asymmetric Student-Teacher Networks for Industrial Anomaly Detection" by Marco Rudolph, Tom Wehrbein, Bodo Rosenhahn and Bastian Wandt.

A native java multiplication table implementation.

An array-based reverse-mode autograd engine built with NumPy.

Inference Llama 2 in one file of pure C

SSHFS For Windows

GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training

Official implementation of the WACV2024 paper: Cheating Depth: Enhancing 3D Surface Anomaly Detection via Depth Simulation

Tensors and Dynamic neural networks in Python with strong GPU acceleration

DepthAI Python API utilities, examples, and tutorials.

🤗 Optimum Intel: Accelerate inference with Intel optimization tools

Open Source Computer Vision Library

Visualizer for neural network, deep learning and machine learning models