Abstract: Adversarial examples represent a serious threat for deep neural networks in several application domains and a huge amount of work has been produced to investigate them and mitigate their ...
Embodied AI world models drew $6 billion in Q1 2026 alone, but new analysis from Fusion Fund investors argues the LLM scaling ...
An efficient, ready‑to‑use workflow from whole‑slide image to biomarker prediction. STAMP is an end‑to‑end, weakly‑supervised deep‑learning pipeline that helps discover and evaluate candidate ...
This important work introduces an integrated open-source platform for behavioral acquisition and pose estimation that substantially improves the accessibility and speed of real-time animal tracking ...
A unified model for three motion and 3D perception tasks. We achieve the 1st places on Sintel (clean), Middlebury (rms metric) and Argoverse benchmarks. 2025-01-04: Check out DepthSplat for a modern ...
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