Training on video (w/o flow) . We load the weight pre-trained on the static image dataset, and use DAVIS and FBMS to train our framework. python finetune.py --model ...
Abstract: Service mobile robots are often required to avoid dynamic objects while performing their tasks, but they usually have only limited computational resources. To further advance the practical ...
Scientists predict up to 100 invisible galaxies may orbit the Milky Way, hiding just beyond our current detection limits. Credit: Shutterstock Astronomers may be on the verge of uncovering a long-lost ...
WEST LAFAYETTE, Ind. — Patent-pending imaging technologies created in Purdue University’s College of Engineering could be developed and commercialized for applications as diverse as medical imaging, ...
[ICLR 2023] Learning Object-Language Alignments for Open-Vocabulary Object Detection [Paper][Code] [CVPR 2022] Learning to Prompt for Open-Vocabulary Object Detection with Vision-Language Model [Paper ...
Abstract: Recent one-stage object detectors follow a per-pixel prediction approach that predicts both the object category scores and boundary positions from every single grid location. However, the ...
Dr. James McCaffrey of Microsoft Research provides full code and step-by-step examples of anomaly detection, used to find items in a dataset that are different from the majority for tasks like ...
An essential objective of software development is to locate and fix defects ahead of schedule that could be expected under diverse circumstances. Many software development activities are performed by ...
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