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(diǎn)評 投稿經(jīng)驗(yàn)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 08:31
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
额尔古纳市| 塔河县| 鸡泽县| 沙湾县| 鹿邑县| 通辽市| 霞浦县| 南安市| 永新县| 吴川市| 泰安市| 梅州市| 盐边县| 什邡市| 湖州市| 阳曲县| 香格里拉县| 湟源县| 洛川县| 茶陵县| 仪征市| 渭源县| 韶关市| 宜兴市| 哈密市| 清丰县| 微博| 东安县| 本溪市| 乌鲁木齐市| 临沂市| 吐鲁番市| 永城市| 夹江县| 高淳县| 虎林市| 宁化县| 沛县| 延吉市| 郁南县| 德昌县|