惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

Threat Intelligence Blog | Flashpoint
Threat Intelligence Blog | Flashpoint
Exploit-DB.com RSS Feed
Exploit-DB.com RSS Feed
The Last Watchdog
The Last Watchdog
K
KPMG report finds enterprise disconnect between AI and its ROI | CIO
T
Troy Hunt's Blog
L
LINUX DO - 最新话题
C
Check Point Blog
T
Threat Research - Cisco Blogs
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
罗
罗磊的独立博客
V
Vulnerabilities – Threatpost
cs.CV updates on arXiv.org
cs.CV updates on arXiv.org
J
Java Code Geeks
Apple Machine Learning Research
Apple Machine Learning Research
大猫的无限游戏
大猫的无限游戏
S
Security @ Cisco Blogs
IT之家
IT之家
T
The Exploit Database - CXSecurity.com
The GitHub Blog
The GitHub Blog
D
Docker
Engineering at Meta
Engineering at Meta
AWS News Blog
AWS News Blog
S
Security Affairs
U
Unit 42
P
Palo Alto Networks Blog
V
Visual Studio Blog
Y
Y Combinator Blog
D
DataBreaches.Net
Forbes - Security
Forbes - Security
阮一峰的网络日志
阮一峰的网络日志
美
美团技术团队
Security Latest
Security Latest
aimingoo的专栏
aimingoo的专栏
Simon Willison's Weblog
Simon Willison's Weblog
A
Arctic Wolf
博
博客园_首页
钛媒体：引领未来商业与生活新知
钛媒体：引领未来商业与生活新知
H
Hacker News: Front Page
博
博客园 - 司徒正美
博
博客园 - Franky
宝玉的分享
宝玉的分享
TaoSecurity Blog
TaoSecurity Blog
Latest news
Latest news
Scott Helme
Scott Helme
MongoDB | Blog
MongoDB | Blog
量
量子位
cs.AI updates on arXiv.org
cs.AI updates on arXiv.org
C
Cisco Blogs
P
Privacy International News Feed
Application and Cybersecurity Blog
Application and Cybersecurity Blog

cs.CV updates on arXiv.org

ClawGUI: A Unified Framework for Training, Evaluating, and Deploying GUI Agents On the Robustness of Watermarking for Autoregressive Image Generation Revisiting Compositionality in Dual-Encoder Vision-Language Models: The Role of Inference Anthropogenic Regional Adaptation in Multimodal Vision-Language Model From Redaction to Restoration: Deep Learning for Medical Image Anonymization and Reconstruction The Salami Slicing Threat: Exploiting Cumulative Risks in LLM Systems BoxTuning: Directly Injecting the Object Box for Multimodal Model Fine-Tuning Semantic-Geometric Dual Compression: Training-Free Visual Token Reduction for Ultra-High-Resolution Remote Sensing Understanding Lightweight Low-Light Image Enhancement via Distribution-Normalizing Preprocessing and Depthwise U-Net Back to the Barn with LLAMAs: Evolving Pretrained LLM Backbones in Finetuning Vision Language Models Pseudo-Unification: Entropy Probing Reveals Divergent Information Patterns in Unified Multimodal Models QShield: Securing Neural Networks Against Adversarial Attacks using Quantum Circuits Evaluating the Impact of Medical Image Reconstruction on Downstream AI Fairness and Performance Retinal Cyst Detection from Optical Coherence Tomography Images LoViF 2026 The First Challenge on Weather Removal in Videos STORM: End-to-End Referring Multi-Object Tracking in Videos Data-Efficient Surgical Phase Segmentation in Small-Incision Cataract Surgery: A Controlled Study of Vision Foundation Models Rethinking the Diffusion Model from a Langevin Perspective Zero-shot World Models Are Developmentally Efficient Learners Edu-MMBias: A Three-Tier Multimodal Benchmark for Auditing Social Bias in Vision-Language Models under Educational Contexts VGA-Bench: A Unified Benchmark and Multi-Model Framework for Video Aesthetics and Generation Quality Evaluation Degradation-Consistent Paired Training for Robust AI-Generated Image Detection FREE-Switch: Frequency-based Dynamic LoRA Switch for Style Transfer Demographic and Linguistic Bias Evaluation in Omnimodal Language Models FlowPalm: Optical Flow Driven Non-Rigid Deformation for Geometrically Diverse Palmprint Generation Cross-Cultural Value Awareness in Large Vision-Language Models I Walk the Line: Examining the Role of Gestalt Continuity in Object Binding for Vision Transformers GLEaN: A Text-to-image Bias Detection Approach for Public Comprehension From UAV Imagery to Agronomic Reasoning: A Multimodal LLM Benchmark for Plant Phenotyping Not Your Stereo-Typical Estimator: Combining Vision and Language for Volume Perception Genie 4D: Semantic-Prior-Guided 4D Dynamic Scene Reconstruction Efficient Personalization of Generative User Interfaces Is There Knowledge Left to Extract? Evidence of Fragility in Medically Fine-Tuned Vision-Language Models ProGAL-VLA: Grounded Alignment through Prospective Reasoning in Vision-Language-Action Models MedLVR: Latent Visual Reasoning for Reliable Medical Visual Question Answering Rays as Pixels: Learning A Joint Distribution of Videos and Camera Trajectories PhysInOne: Visual Physics Learning and Reasoning in One Suite Through Their Eyes: Fixation-aligned Tuning for Personalized User Emulation Neural Distribution Prior for LiDAR Out-of-Distribution Detection Adding Another Dimension to Image-based Animal Detection Long-SCOPE: Fully Sparse Long-Range Cooperative 3D Perception CT-1: Vision-Language-Camera Models Transfer Spatial Reasoning Knowledge to Camera-Controllable Video Generation FIRE-CIR: Fine-grained Reasoning for Composed Fashion Image Retrieval Detecting Diffusion-generated Images via Dynamic Assembly Forests Memory-Efficient Transfer Learning with Fading Side Networks via Masked Dual Path Distillation Tora3: Trajectory-Guided Audio-Video Generation with Physical Coherence Leave My Images Alone: Preventing Multi-Modal Large Language Models from Analyzing Images via Visual Prompt Injection Domain-generalizable Face Anti-Spoofing with Patch-based Multi-tasking and Artifact Pattern Conversion Dynamic Class-Aware Active Learning for Unbiased Satellite Image Segmentation Low-Data Supervised Adaptation Outperforms Prompting for Cloud Segmentation Under Domain Shift Degradation-Robust Fusion: An Efficient Degradation-Aware Diffusion Framework for Multimodal Image Fusion in Arbitrary Degradation Scenarios Adaptive Dual Residual U-Net with Attention Gate and Multiscale Spatial Attention Mechanisms (ADRUwAMS) MedFormer-UR: Uncertainty-Routed Transformer for Medical Image Classification BIAS: A Biologically Inspired Algorithm for Video Saliency Detection DeFakeQ: Enabling Real-Time Deepfake Detection on Edge Devices via Adaptive Bidirectional Quantization Dictionary-Aligned Concept Control for Safeguarding Multimodal LLMs CatalogStitch: Dimension-Aware and Occlusion-Preserving Object Compositing for Catalog Image Generation Post-Hoc Guidance for Consistency Models by Joint Flow Distribution Learning SenBen: Sensitive Scene Graphs for Explainable Content Moderation Towards Responsible Multimodal Medical Reasoning via Context-Aligned Vision-Language Models R2G: A Multi-View Circuit Graph Benchmark Suite from RTL to GDSII State Space Models are Effective Sign Language Learners: Exploiting Phonological Compositionality for Vocabulary-Scale Recognition Accelerating Transformer-Based Monocular SLAM via Geometric Utility Scoring Deep Learning-Based Tracking and Lineage Reconstruction of Ligament Breakup Unified Multimodal Uncertain Inference Unsupervised Local Plasticity in a Multi-Frequency VisNet Hierarchy EfficientSign: An Attention-Enhanced Lightweight Architecture for Indian Sign Language Recognition InsEdit: Towards Instruction-based Visual Editing via Data-Efficient Video Diffusion Models Adaptation 3D-VCD: Hallucination Mitigation in 3D-LLM Embodied Agents through Visual Contrastive Decoding On Semiotic-Grounded Interpretive Evaluation of Generative Art Generative 3D Gaussian Splatting for Arbitrary-ResolutionAtmospheric Downscaling and Forecasting From Selection to Scheduling: Federated Geometry-Aware Correction Makes Exemplar Replay Work Better under Continual Dynamic Heterogeneity ViSAGE @ NTIRE 2026 Challenge on Video Saliency Prediction Needle in a Haystack: One-Class Representation Learning for Detecting Rare Malignant Cells in Computational Cytology A Semi-Automated Framework for 3D Reconstruction of Medieval Manuscript Miniatures Detection of Hate and Threat in Digital Forensics: A Case-Driven Multimodal Approach Orthogonal Quadratic Complements for Vision Transformer Feed-Forward Networks HaloProbe: Bayesian Detection and Mitigation of Object Hallucinations in Vision-Language Models Pretrain-then-Adapt: Uncertainty-Aware Test-Time Adaptation for Text-based Person Search Assessing Privacy Preservation and Utility in Online Vision-Language Models R3PM-Net: Real-time, Robust, Real-world Point Matching Network Tipiano: Cascaded Piano Hand Motion Synthesis via Fingertip Priors Belief-Aware VLM Model for Human-like Reasoning GameplayQA: A Benchmarking Framework for Decision-Dense POV-Synced Multi-Video Understanding of 3D Virtual Agents B-MoE: A Body-Part-Aware Mixture-of-Experts "All Parts Matter" Approach to Micro-Action Recognition FDIF: Formula-Driven supervised Learning with Implicit Functions for 3D Medical Image Segmentation CausalVAD: De-confounding End-to-End Autonomous Driving via Causal Intervention BiCLIP: Domain Canonicalization via Structured Geometric Transformation Agentic Exploration of PDE Spaces using Latent Foundation Models for Parameterized Simulations MerNav: A Highly Generalizable Memory-Execute-Review Framework for Zero-Shot Object Goal Navigation Why Steering Works: Toward a Unified View of Language Model Parameter Dynamics Measurement-Consistent Langevin Corrector for Stabilizing Latent Diffusion Inverse Problem Solvers When & How to Write for Personalized Demand-aware Query Rewriting in Video Search Relational Visual Similarity Enhancing Geo-localization for Crowdsourced Flood Imagery via LLM-Guided Attention GoT-R1: Unleashing Reasoning Capability of MLLM for Visual Generation with Reinforcement Learning Seeing Through Deception: Uncovering Misleading Creator Intent in Multimodal News with Vision-Language Models OmniPrism: Learning Disentangled Visual Concept for Image Generation MM-LIMA: Less Is More for Alignment in Multi-Modal Datasets SCITUNE: Aligning Large Language Models with Human-Curated Scientific Multimodal Instructions
Maps for Autonomous Driving: Full-process Survey and Frontiers
Pengxin Chen, Zhipeng Luo, Xiaoqi Jiang, Zhangcai Yin, Jonathan · 2025-09-16 · via cs.CV updates on arXiv.org

Maps have always been an essential component of autonomous driving. With the advancement of autonomous driving technology, both the representation and production process of maps have evolved substantially. The article categorizes the evolution of maps into three stages: High-Definition (HD) maps, Lightweight (Lite) maps, and Implicit maps. For each stage, we provide a comprehensive review of the map production workflow, with highlighting technical challenges involved and summarizing relevant solutions proposed by the academic community. Furthermore, we discuss cutting-edge research advances in map representations and explore how these innovations can be integrated into end-to-end autonomous driving frameworks.

此内容由惯性聚合(RSS阅读器)自动聚合整理，仅供阅读参考。 原文来自 — 版权归原作者所有。