· ai
[Paper] Generative Classifiers Avoid Shortcut Solutions
Discriminative approaches to classification often learn shortcuts that hold in-distribution but fail even under minor distribution shift. This failure mode stem...
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- · ai
[Paper] FoundationSLAM: Unleashing the Power of Depth Foundation Models for End-to-End Dense Visual SLAM
We present FoundationSLAM, a learning-based monocular dense SLAM system that addresses the absence of geometric consistency in previous flow-based approaches fo...
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[Paper] Bi-C2R: Bidirectional Continual Compatible Representation for Re-indexing Free Lifelong Person Re-identification
Lifelong person Re-IDentification (L-ReID) exploits sequentially collected data to continuously train and update a ReID model, focusing on the overall performan...
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[Paper] PhysTalk: Language-driven Real-time Physics in 3D Gaussian Scenes
Realistic visual simulations are omnipresent, yet their creation requires computing time, rendering, and expert animation knowledge. Open-vocabulary visual effe...
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[Paper] DarkEQA: Benchmarking Vision-Language Models for Embodied Question Answering in Low-Light Indoor Environments
Vision Language Models (VLMs) are increasingly adopted as central reasoning modules for embodied agents. Existing benchmarks evaluate their capabilities under i...
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[Paper] CPJ: Explainable Agricultural Pest Diagnosis via Caption-Prompt-Judge with LLM-Judged Refinement
Accurate and interpretable crop disease diagnosis is essential for agricultural decision-making, yet existing methods often rely on costly supervised fine-tunin...
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[Paper] Projection-based Adversarial Attack using Physics-in-the-Loop Optimization for Monocular Depth Estimation
Deep neural networks (DNNs) remain vulnerable to adversarial attacks that cause misclassification when specific perturbations are added to input images. This vu...
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Deep Maze Solver
Introduction A few days ago I saw a X Posthttps://twitter.com/ArnaudPannatier/status/1762864347397628396 explaining that diffusion models could be used to solv...
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[Paper] RedunCut: Measurement-Driven Sampling and Accuracy Performance Modeling for Low-Cost Live Video Analytics
Live video analytics (LVA) runs continuously across massive camera fleets, but inference cost with modern vision models remains high. To address this, dynamic m...
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Remove CapCut Watermark with AI — How We Built a Flicker-Free Video Inpainting System
!Cover image for Remove CapCut Watermark with AI — How We Built a Flicker‑Free Video Inpainting Systemhttps://media2.dev.to/dynamic/image/width=1000,height=420,...
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AI-Powered Heat Maps for Industrial Worksites
!Cover image for AI-Powered Heat Maps for Industrial Worksiteshttps://media2.dev.to/dynamic/image/width=1000,height=420,fit=cover,gravity=auto,format=auto/https...
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[Paper] Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion
Diffusion-based video super-resolution (VSR) methods achieve strong perceptual quality but remain impractical for latency-sensitive settings due to reliance on ...