“In Part 1 of this conversation, Dr. Mappouras explained why the Turing Test is probably insufficient. Here, he delves into a new method…. set up to determine the ability of large language models to ...
Abstract: Domain adaptive object detection methods for remote sensing images (RSIs) typically rely on large-scale target-domain data and multiepoch offline adaption training. However, the wide ...
Abstract: Zero-shot Video Object Segmentation (ZSVOS) aims at segmenting the primary moving object without any human annotations. Mainstream solutions mainly focus on learning a single model on ...
A screenshot shows a data downlink speed in excess of 1.2 gigabits per second. (Panos Panay via X) Amazon executives are showing off evidence that the company’s Project Kuiper satellite constellation ...
overall: 1/8 in x 12 in x 23 3/4 in; .3175 cm x 30.48 cm x 60.325 cm ...
Official implementation of our CleanPose, the first solution to mitigate the confoundering effect in category-level pose estimation via causal learning and knowledge distillation. You can generate the ...
ACORD, the global standards-setting body for the insurance industry, has announced the launch of the Next-Generation Digital Standards (NGDS) Object Model, designed to streamline digital data exchange ...
We introduce Any6D, a model-free framework for 6D object pose estimation that requires only a single RGB-D anchor image to estimate both the 6D pose and size of unknown objects in novel scenes. Unlike ...
Hurricane Erin shocked forecasters when it intensified from a tropical storm to a Category 5 hurricane in less than 24 hours. As the storm churned eastward through the Atlantic and threatened parts of ...
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