vision — Datasets, Transforms and Models specific to Computer Vision
コンピュータビジョンのデータセット、変換、モデルのライブラリ。
コンピュータビジョン
MLINFO COLLECTION
外観検査・欠陥検出
製品画像、顕微鏡画像、表面欠陥を対象に、分類・検出・セグメンテーションを選ぶための導線です。
関連する論文・実装
12 / 50weaviate — Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database.
ベクトル検索と構造化されたフィルタリングを組み合わせたベクターデータベースです。
ベクターデータベース
colmap — COLMAP - Structure-from-Motion and Multi-View Stereo
このライブラリは、3次元幾何学とモーションの解析のためのオープンソースライブラリです。このライブラリは、複数の視点からの画像を扱い、構造計算とマルチビューステレオの解析をサポートしています。
3次元幾何学とモーションの解析
aim — Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
skypilotは、AIワークロードを任意のAIインフラストラクチャで実行、管理、スケールさせることができるプラットフォームです。
AIワークフローの管理
netron — Visualizer for neural network, deep learning and machine learning models
神経ネットワークの可視化に利用できるツール。深層学習・機械学習モデルも可視化可能。
神経ネットワーク可視化
carla — Open-source simulator for autonomous driving research.
CARLAは、オープンソースのシミュレータで、主に自動運転研究のために使われます。このシミュレータを使うことで、車両などのロボットをシミュレートし、様々なシナリオを実行できます。
自動運転研究用のオープンソースシミュレータ
best-of-ml-python — 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
Pythonで使えるマシンラーニングライブラリを紹介している。
Python MLライブラリ
photoprism — AI-Powered Photos App 🌈💎✨
photoprismはAIパワーで管理される写真管理アプリケーションで、写真の特徴や情報を自動的に検出することができる。
写真管理
caire — Content aware image resize library
Content aware image resize library
computer-vision
Is It the Curriculum or Just the Easy Start? Benchmarking Unsupervised Environment Design on Quadrupeds
Unsupervised environment design (UED) methods such as PLR, ACCEL, SFL and PAIRED are compared mostly on 2D mazes, grid worlds and BipedalWalker, while terrain curricula for legged robots are…
computer-vision
Localizing Concepts in Visual Autoregressive Models
Understanding the internal routing of visual concepts is crucial for the safe and controllable adaptation of generative models. While concept localization has been widely studied in diffusion models,…
deep-learning
Surrogate Uncertainty for Black-box Visual Grounding
Visual grounding is crucial for robots to understand language instructions with visual observations. This paper addresses the problem of visual grounding uncertainties, where a robot uses a black-box…
computer-vision
PRIME W0: Physical Priors from World Models for Embodied Manipulation
Vision-Language-Action (VLA) models excel at instruction following, yet most remain feed-forward: they condition actions only on the current observation and discard both long-horizon temporal context…
nlp
What Makes Medical Examination Items Difficult? Using Large Language Models to Explore Patterns Associated With Empirical Item Difficulty
Research on medical item difficulty has largely focused on prediction rather than on identifying interpretable patterns associated with empirical difficulty. This study used empirical difficulty…
nlp
Multi-Solution Inverse Design of Pixelated Patch Antennas Using an Autoregressive Transformer
Deep-learning-based inverse design has emerged as a promising framework for pixelated patch antenna synthesis by enabling broader exploration of discrete geometry spaces and reducing design time…
deep-learning
Uncertainty-Guided Cross-Modal Alignment for Diffusion-Based IoT Intrusion Detection
Diffusion models evolve noisy states toward a learned data distribution, so their sampling behavior depends on the geometry of the representation in which denoising occurs. This dependence is…
nlp
MCP-Net: Real-Time Coronary Perception Network and Topological Analysis for Robotic Guidewire Navigation
Coronary guidewire navigation during percutaneous coronary intervention requires continuous interpretation of vessel anatomy, guidewire position, and target stenosis under two-dimensional X-ray…
computer-vision
Intrinsic Information-Theoretic Analysis of ReLU Nets
Mutual information (MI) is fundamental to representation-learning analysis in deep networks, but in high dimensions MI estimators depend on hyperparameters whose bias often dominates the signal. We…
computer-vision
vit-pytorch — Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
感覚変換、すなわちバーチャルエキスパートが可能なPytorch実装。
感覚変換
A Truthful-in-Expectation 2-Approximation for Pair-Specific Cascade Auctions in AI-Generated Content
Generative AI interfaces can insert sponsored content at multiple points in an answer, where click-through rates (CTRs) depend on the advertiser-position pair. Under the cascade model, users read ads…
computer-vision
Freezing Mechanism and Topology Dependence of Information Flow Structure in Small-Scale Particle Swarm Optimization
The neighborhood topology of particle swarm optimization (PSO) determines information propagation and regulates the exploration-exploitation balance. However, existing evaluation methods based on…
nlp
OpenTac: An Open Ecosystem for Customizable, Scalable, and Transferable 3D Tactile Sensing
We present OpenTac, a novel sensor and a full-stack ecosystem for tactile skins that are highly customizable, scalable, and readily deployed in downstream robot control and learning applications. Our…
computer-vision
WorldForge V2: Eliciting Camera-Trajectory Alignment in Video Diffusion Models
Video diffusion models have learned rich 3D/4D priors, making them promising for scene generation and video re-rendering. However, their use in spatial tasks is limited by imprecise camera control,…
nlp
Can an Agent Debug a Web Corpus? Agentic Auditing of Slovak FineWeb2
Multilingual pipelines such as FineWeb2 apply one recipe across a thousand languages, leaving the failure modes of individual languages unanticipated. We use an LLM once, as a corpus debugger rather…
nlp