· ai
Get Started With Image Classification in Kaggle using Python
markdown !Cover image for Get Started With Image Classification in Kaggle using Pythonhttps://media2.dev.to/dynamic/image/width=1000,height=420,fit=cover,gravit...
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The Right Way to Measure Axiomatic Non-Sensitivity in XAI
The Right Way to Measure Axiomatic Non‑Sensitivity Why your XAI metric might lie to you — and how we fixed it If you’ve ever tried to actually measure how stab...
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[Paper] UniX: Unifying Autoregression and Diffusion for Chest X-Ray Understanding and Generation
Despite recent progress, medical foundation models still struggle to unify visual understanding and generation, as these tasks have inherently conflicting goals...
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[Paper] ShapeR: Robust Conditional 3D Shape Generation from Casual Captures
Recent advances in 3D shape generation have achieved impressive results, but most existing methods rely on clean, unoccluded, and well-segmented inputs. Such co...
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[Paper] ReScene4D: Temporally Consistent Semantic Instance Segmentation of Evolving Indoor 3D Scenes
Indoor environments evolve as objects move, appear, or disappear. Capturing these dynamics requires maintaining temporally consistent instance identities across...
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[Paper] CTest-Metric: A Unified Framework to Assess Clinical Validity of Metrics for CT Report Generation
In the generative AI era, where even critical medical tasks are increasingly automated, radiology report generation (RRG) continues to rely on suboptimal metric...
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[Paper] Generative Scenario Rollouts for End-to-End Autonomous Driving
Vision-Language-Action (VLA) models are emerging as highly effective planning models for end-to-end autonomous driving systems. However, current works mostly re...
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[Paper] MHA2MLA-VLM: Enabling DeepSeek's Economical Multi-Head Latent Attention across Vision-Language Models
As vision-language models (VLMs) tackle increasingly complex and multimodal tasks, the rapid growth of Key-Value (KV) cache imposes significant memory and compu...
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[Paper] PRISM-CAFO: Prior-conditioned Remote-sensing Infrastructure Segmentation and Mapping for CAFOs
Large-scale livestock operations pose significant risks to human health and the environment, while also being vulnerable to threats such as infectious diseases ...
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[Paper] When Are Two Scores Better Than One? Investigating Ensembles of Diffusion Models
Diffusion models now generate high-quality, diverse samples, with an increasing focus on more powerful models. Although ensembling is a well-known way to improv...
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[Paper] Map2Thought: Explicit 3D Spatial Reasoning via Metric Cognitive Maps
We propose Map2Thought, a framework that enables explicit and interpretable spatial reasoning for 3D VLMs. The framework is grounded in two key components: Metr...
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[Paper] PubMed-OCR: PMC Open Access OCR Annotations
PubMed-OCR is an OCR-centric corpus of scientific articles derived from PubMed Central Open Access PDFs. Each page image is annotated with Google Cloud Vision a...