Pai 的 AI 雷达

模型与评测

今天:多模态特征融合检测 AIGC 视频(arXiv:2609),AIBuildAI-2.5(Agent 原型)。并行还有 SLICEChat、Grow the Harness、GPT-6:提示缓存与延迟成本优化。

日期
2026/09/23
今日条目
85
当前类目
33
#25

3D Gait-Based Autism Classification Using Attention-Enhanced Deep Learning with Cross-Fold Statistical Stability Analysis

arXiv:2609.14159v2 Announce Type: replace Abstract: Autism Spectrum Disorder (ASD) is a neurodevelopmental condition whose early diagnosis remains challenging because conventional clinical assessments are often subjective, time-consuming, and require expert evaluation. Gait provi

推荐理由3D Gait-Based Autism Classification:arXiv:2609.14159v2 Announce Type: replace Abstract: Autism Spectrum Disorder (ASD) is。
模型与评测生信医疗arXiv cs.CV 官方
#26

A Hybrid AI Framework for Academic Advising: Integrating Ensemble-Based Grade Prediction and a Rule-Based Expert System

arXiv:2609.26243v1 Announce Type: new Abstract: The rapidly increasing student population has posed serious challenges to the traditional academic advising process. This study designs and implements a multi-purpose intelligent system to support students' academic progress, based

推荐理由A Hybrid AI Framework for Academic:arXiv:2609.26243v1 Announce Type: new Abstract: The rapidly increasing student。
模型与评测arXiv cs.AI 官方
#27

A2M: Trace-Optimized Agent Hijacking in the MCP Ecosystem

arXiv:2609.26761v1 Announce Type: cross Abstract: Agents using the Model Context Protocol (MCP) rely on semantic matching to select tools from third-party servers, exposing a semantic supply-chain risk through attacker-controlled metadata and outputs. We introduce A2M (Attraction

推荐理由A2M: Trace-Optimized Agent Hijacking:arXiv:2609.26761v1 Announce Type: cross Abstract: Agents using the Model Context。
模型与评测arXiv cs.AI 官方
#28

AgentSTAR: Agentic Shape Tracking and Reconstruction from Monocular Videos

arXiv:2609.24487v1 Announce Type: new Abstract: In this work, we present a method for shape reconstruction and tracking from video via agentic analysis-by-synthesis. Unlike prior methods which first estimate dense pixel correspondences and then recover object motion from them, ou

推荐理由AgentSTAR: Agentic Shape Tracking:arXiv:2609.24487v1 Announce Type: new Abstract: In this work, we present a method。
模型与评测arXiv cs.CV 官方
#29

An Efficient and Effective Watermarking Scheme for the Protection of the Intellectual Property Rights of Video Generative Models

arXiv:2609.23586v1 Announce Type: new Abstract: The rapid development of video generative models (VGMs) has enabled the generation of highly realistic synthetic videos, raising concerns about the intellectual property rights (IPR) of these models. In particular, two closely relat

推荐理由An Efficient and Effective Watermarking:arXiv:2609.23586v1 Announce Type: new Abstract: The rapid development of video。
模型与评测arXiv cs.CV 官方
#30

An Evolutionary Agentic Approach for Open-ended Image Quality Perception

arXiv:2609.22942v1 Announce Type: new Abstract: Generative models are rapidly expanding image quality assessment (IQA) beyond traditional fidelity factors to emerging dimensions such as physical plausibility and text-rendering correctness. However, existing IQA models rely on fix

推荐理由An Evolutionary Agentic Approach:arXiv:2609.22942v1 Announce Type: new Abstract: Generative models are rapidly expanding。
模型与评测arXiv cs.CV 官方
#31

Anatomy-Change-Aware Bidirectional Selective State-Space Memory for Clinically Deployed Thoracic Radiotherapy Auto-Contouring

arXiv:2609.16036v2 Announce Type: replace-cross Abstract: We developed DAMM-Net++, a 2.5D architecture for thoracic OAR and target volume segmentation that addresses three persistent challenges in radiotherapy auto-contouring: inter-slice surface incoherence, systematic failure o

推荐理由Anatomy-Change-Aware Bidirectional:arXiv:2609.16036v2 Announce Type: replace-cross Abstract: We developed DAMM-Net++。
模型与评测生信医疗arXiv cs.CV 官方
#32

Benchmarking Off-the-Shelf Multimodal AI Models Against Dermatologists on Patient-Captured Skin Images

arXiv:2609.24190v1 Announce Type: new Abstract: Artificial intelligence (AI) has advanced at a rapid pace in recent years. Initially, breakthroughs in large language models caught widespread attention. However, recent generations of frontier AI models have adopted multimodal capa

推荐理由Benchmarking Off-the-Shelf Multimodal:arXiv:2609.24190v1 Announce Type: new Abstract: Artificial intelligence (AI) has。
模型与评测生信医疗arXiv cs.CV 官方
#33

Beyond Natural Language: An Agent-Native Language for Autonomous Science

arXiv:2609.25421v1 Announce Type: cross Abstract: As autonomous AI agents take on every stage of scientific inquiry, research output is expanding far beyond human review capacity. Yet scientific communication still relies on natural-language prose: an informal medium prone to amb

推荐理由Beyond Natural Language::arXiv:2609.25421v1 Announce Type: cross Abstract: As autonomous AI agents take on every。
模型与评测arXiv cs.AI 官方