找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: VOCUS: A Visual Attention System for Object Detection and Goal-Directed Search; Simone Frintrop Book 2006 Springer-Verlag Berlin Heidelber

[復(fù)制鏈接]
樓主: 胃口
21#
發(fā)表于 2025-3-25 03:52:25 | 只看該作者
22#
發(fā)表于 2025-3-25 08:13:44 | 只看該作者
23#
發(fā)表于 2025-3-25 15:07:41 | 只看該作者
1 Introduction,e costumes of the people around you, your gaze wanders from one exciting spot to the next: here a clown with a fancy dress, there a small boy masqueraded as Harry Potter. But not only visual cues capture your attention: over there a band starts to play the new hit of the year and the smell of fresh
24#
發(fā)表于 2025-3-25 19:07:26 | 只看該作者
2 Background on Visual Attention,ttention is common in everyday language and familiar to everyone. Nevertheless - or even therefore - it is necessary to clarify and define the term properly. Since visual attention is a concept of human perception, it is important to understand the underlying visual processing in the brain and to kn
25#
發(fā)表于 2025-3-25 23:04:30 | 只看該作者
26#
發(fā)表于 2025-3-26 02:27:08 | 只看該作者
4 The Visual Attention System VOCUS: Bottom-Up Part, limitations. In this and the following chapters, we present the new visual attention system VOCUS (Visual Object detection with a CompUtational attention System) which extends and outperforms the current approaches in several aspects, yielding an innovative, efficient, and robust system for detecti
27#
發(fā)表于 2025-3-26 08:04:30 | 只看該作者
5 The Visual Attention System VOCUS: Top-Down Extension,situation. In the previous chapter, we focused on simulating bottom-up mechanisms of visual attention. These define regions as interesting which have a high contrast to their surroundings and are unique in the setting. As mentioned in chapter 2, top-down influences also play an important role in hum
28#
發(fā)表于 2025-3-26 08:46:08 | 只看該作者
29#
發(fā)表于 2025-3-26 14:42:35 | 只看該作者
30#
發(fā)表于 2025-3-26 18:47:26 | 只看該作者
8 Conclusion,s. The approach regards object recognition as a two step process: first, the fast attention system detects regions of interest in the whole image and second, a classifier recognizes the content in the specified region. This separation enables an efficient processing since complex object recognition
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經(jīng)驗總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-8 16:44
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
杂多县| 高雄县| 临城县| 东台市| 宜城市| 土默特左旗| 祁门县| 闽侯县| 错那县| 佛坪县| 嘉峪关市| 手游| 龙陵县| 平昌县| 宁都县| 锡林郭勒盟| 十堰市| 鄯善县| 嘉鱼县| 乌审旗| 灵川县| 通辽市| 全椒县| 岗巴县| 闵行区| 阳江市| 石嘴山市| 衡水市| 大新县| 通道| 延寿县| 通城县| 平顶山市| 扶余县| 江达县| 松溪县| 保山市| 宜兰市| 神池县| 乐平市| 武宣县|