表示向下 发表于 2025-3-26 21:32:03
Kathleen Ogle,Andrew C. Meltzerhysical parameters of the recording setup is presented as a basis for evaluation of the utilized multimodal detectors, classifiers and combined methods for rare and incongruent event detection. The recordings presented in this work are available online on the DIRAC preoject website .Infect 发表于 2025-3-27 01:36:29
http://reply.papertrans.cn/27/2692/269194/269194_32.pngAdherent 发表于 2025-3-27 05:43:16
A Pragmatic Approach to Complex Colon Polypsongruence - has been observed between incoming data and the current model of the universe. Then, a new concept, i.e. a new direct detector, is trained on incongruent data and combined with existing models to remove the incongruence.We demonstrate the concept in an experiment with human audio-visual detection.GNAW 发表于 2025-3-27 10:00:20
Identification of Novel Classes in Object Class Recognitionion of this approach, show experimental results of its performance, analyze the effect of the underlying hierarchy on the task and show the benefit of using discriminative information for the training of the specific level classifier.得意人 发表于 2025-3-27 14:38:16
Catalog of Basic Scenes for Rare/Incongruent Event Detectionhysical parameters of the recording setup is presented as a basis for evaluation of the utilized multimodal detectors, classifiers and combined methods for rare and incongruent event detection. The recordings presented in this work are available online on the DIRAC preoject website .Emg827 发表于 2025-3-27 21:19:53
http://reply.papertrans.cn/27/2692/269194/269194_36.png恃强凌弱的人 发表于 2025-3-27 23:47:58
http://reply.papertrans.cn/27/2692/269194/269194_37.pngdefenses 发表于 2025-3-28 05:01:04
Endoscopic Tools and Accessories for ESDure of incongruent events.We also show that one of the internal parameters of the algorithm makes it possible to quantitatively measure incongruence of detected events. Experiments on two different datasets support our claim.Defense 发表于 2025-3-28 09:09:42
http://reply.papertrans.cn/27/2692/269194/269194_39.png带子 发表于 2025-3-28 13:11:50
DIRAC: Detection and Identification of Rare Audio-Visual Eventson within the Sixth Framework Research Programme (FP6) under contract number IST-027787. Ten partners joined forces to investigate the concept of rare events in machine and cognitive systems, and developed multi-modal technology to identify such events and deal with them in audio-visual applications