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Automated Behavior Analysis in the Novel Object Recognition Test. [PDF]
Alfs-Votipka E +7 more
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ManuTrace: An HTML-Based Interface for Manually Extracting Movement Trajectory Data From a Video. [PDF]
Yabe K, Tosaka Y, Matsuura K.
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Prompt injection attacks on vision-language models for surgical decision support. [PDF]
Zhang Z +9 more
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HashEye: a real-time on-drone high-resolution tiny object detection via spatial pruning. [PDF]
Hong H +5 more
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Deep Learning-Based Detection and Classification System for Salivary Gland Tumors Using Ultrasound Imaging. [PDF]
Hung WC +5 more
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Detection Continuity Loss for Video Object Detection
2021 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC), 2021The video object detection is one of the key challenges in the field of object detection. The detection accuracy and real-time performance must be considered, and requirement for detection continuity is also put forward. This article proposes a detection continuity loss (DCL) to solve the problem of poor detection continuity in the video object ...
Yunlong Fan, Ou Li, Guangyi Liu 0006
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Ranking Video Salient Object Detection
Proceedings of the 27th ACM International Conference on Multimedia, 2019Video salient object detection has been attracting more and more research interests recently. However, the definition of salient objects in videos has been controversial all the time, which has become a critical bottleneck in video salient object detection. Specifically, the sequential information contained in videos results in a fact that objects have
Zheng Wang 0008 +3 more
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Detection of Multiple Instances of Video Objects
2011 Seventh International Conference on Signal Image Technology & Internet-Based Systems, 2011This paper tackles the issue of retrieving different instances of an object of interest within a given video document or in a video database. The principle consists of considering a semi-global image representation based on an over-segmentation of image frames.
Andrei Bursuc +2 more
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Moving Object Detection in Aerial Video
2012 11th International Conference on Machine Learning and Applications, 2012We address the problem of moving object detection in aerial video. Moving object detection in aerial video is still a challenging problem for the reason that when capturing the video the camera (or the platform) is moving all the time. As a result, the problem is detecting moving object from moving background which is much more difficult than the case ...
Yunfei Wang +2 more
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