颠簸地移动
发表于 2025-3-26 23:30:43
http://reply.papertrans.cn/47/4615/461485/461485_31.png
insidious
发表于 2025-3-27 04:35:40
http://reply.papertrans.cn/47/4615/461485/461485_32.png
thrombosis
发表于 2025-3-27 08:49:37
Image Captioning with Object Detection and Localizationulti-model neural network method closely related to the human visual system that automatically learns to describe the content of images. Our model consists of two sub-models: an object detection and localization model, which extracts the information of objects and their spatial relationship in image
GENRE
发表于 2025-3-27 09:32:22
Image Set Representation with ,-Norm Optimal Mean Robust Principal Component Analysislly contains various kinds of noises and outliers which usually make the recognition/learning tasks of image set more challengeable. In this paper, we propose a new . norm optimal Mean Principal Component Analysis (L1-MPCA) to learn an optimal low-rank representation for image set. Comparing with or
exhibit
发表于 2025-3-27 14:44:13
http://reply.papertrans.cn/47/4615/461485/461485_35.png
疯狂
发表于 2025-3-27 20:33:24
Hardness Prediction for Object Detection Inspired by Human Visionn path and (2) peaks of heat to better define and understand human vision. In this paper, these features are used to describe the eye movements of a person when he/she is watching an image and looking for the target object in it. Based on these features, a new image complexity called . is defined. E
身体萌芽
发表于 2025-3-28 01:03:37
http://reply.papertrans.cn/47/4615/461485/461485_37.png
方舟
发表于 2025-3-28 03:52:17
http://reply.papertrans.cn/47/4615/461485/461485_38.png
ZEST
发表于 2025-3-28 07:42:26
A Dim Small Target Detection Method Based on Spatial-Frequency Domain Features Spacerveillance. Due to the complexity of the imaging environment, the detection of dim small targets in star images faces many difficulties, including low SNR and rare unstable features. This paper proposes a dim small target detection method based on the high dimensional spatial-frequency domain featur
珠宝
发表于 2025-3-28 13:50:18
An Algorithm for Tight Frame Grouplet to Compute Association Fieldslity property, multiscale association fields become more flexible to construct grouplets which can adapt the different geometry structure in different scales. Grouplet transform uses the block matching algorithm to compute association field coefficients, which needs more operations than the computat