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具有规模自适应生成调节的弱监督视频实例分割

Q3 Materials Science
Guangxue Jingmi Gongcheng/Optics and Precision Engineering Pub Date : 2023-01-01 DOI:10.37188/ope.20233118.2736
Yinhui ZHANG, Weiqi HAI, Zifen HE, Ying HUANG, Dongdong CHEN
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引用次数: 0

摘要

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Weakly supervised video instance segmentation with scale adaptive generation regulation
è§†é¢‘å®žä¾‹åˆ†å‰²æ˜¯è½¦è¾†è¾ åŠ©é©¾é©¶å¤šç›®æ ‡æ„ŸçŸ¥å’Œåœºæ™¯ç†è§£çš„ä¸€é¡¹å ³é”®æŠ€æœ¯ã€‚é’ˆå¯¹å¼±ç›‘ç£è§†é¢‘å®žä¾‹åˆ†å‰²ä» ä½¿ç”¨è¾¹ç•Œæ¡†å¯¹ç½‘ç»œè¿›è¡Œè®­ç»ƒä¸¥é‡åˆ¶çº¦äº¤é€šåœºæ™¯å¤§å°ºåº¦åŠ¨æ€èŒƒå›´ç›®æ ‡åˆ†å‰²ç²¾åº¦çš„é—®é¢˜ï¼Œæœ¬æ–‡æå‡ºå°ºåº¦è‡ªé€‚åº”ç”Ÿæˆè°ƒæŽ§å¼±ç›‘ç£è§†é¢‘å®žä¾‹åˆ†å‰²ç½‘ç»œï¼ˆScale Adaptive Generation Regulation weakly supervised video instance segmentation network，SAGRNetï¼‰ã€‚é¦–å ˆï¼Œè®¾è®¡ä¸€ç§å¤šå°ºåº¦ç‰¹å¾æ˜ å°„è´¡çŒ®åº¦åŠ¨æ€è‡ªé€‚åº”è°ƒæŽ§æ¨¡å—ï¼Œé€šè¿‡åŠ¨æ€è°ƒæ•´ä¸åŒå°ºåº¦ç‰¹å¾æ˜ å°„ä¿¡æ¯è´¡çŒ®åº¦å–ä»£åŽŸæœ‰çš„çº¿æ€§åŠ æƒä»¥å¼ºåŒ–å¯¹ç›®æ ‡å±€éƒ¨ä½ç½®å’Œæ•´ä½“è½®å»“çš„èšç„¦èƒ½åŠ›ï¼Œè§£å†³äº†è½¦è¾†ã€è¡Œäººç­‰ç›®æ ‡ç”±äºŽæˆåƒè·ç¦»è¿œè¿‘é€ æˆçš„å°ºåº¦åŠ¨æ€èŒƒå›´è¿‡å¤§é—®é¢˜ï¼›å ¶æ¬¡ï¼Œæž„å»ºç›®æ ‡å®žä¾‹å¤šç»†ç²’åº¦ç©ºé—´ä¿¡æ¯èšåˆç”Ÿæˆè°ƒæŽ§æ¨¡å—ï¼Œé€šè¿‡èšåˆåŸºäºŽä¸åŒç©ºæ´žçŽ‡æå–çš„å¤šç»†ç²’åº¦ç©ºé—´ä¿¡æ¯ç”Ÿæˆæƒé‡å‚æ•°ä»¥è°ƒæŽ§å„å°ºåº¦ç‰¹å¾ï¼Œå®žçŽ°äº†ç»†åŒ–å®žä¾‹è¾¹ç•Œå’Œå¢žå¼ºè·¨é€šé“ä¿¡æ¯äº¤äº’æŽ©ç ç‰¹å¾æ˜ å°„è¡¨å¾èƒ½åŠ›ï¼Œæœ‰æ•ˆå¼¥è¡¥äº†å®žä¾‹è¾¹ç¼˜ä¿¡æ¯åŒ®ä¹å¯¼è‡´è¾¹ç¼˜è½®å»“åˆ†å‰²maskè¿žç»­æ€§ç¼ºå¤±é—®é¢˜ã€‚æœ€åŽï¼Œä¸ºç¼“è§£è¾¹ç•Œæ¡†æ ‡ç­¾ç›‘ç£ä¿¡æ¯å¼±åŒ–ï¼Œå¼•å ¥æ­£äº¤æŸå¤±å’Œé¢œè‰²ç›¸ä¼¼æ€§æŸå¤±ç¼©å°æ¨¡åž‹é¢„æµ‹maskä¸ŽçœŸå®žè¾¹ç•Œæ¡†åå·®å¹¶è®¡ç®—é€åƒç´ ç‚¹å¯¹é—´æ ‡ç­¾å±žæ€§å½’ç±»æ¨¡ç³Šé—®é¢˜ã€‚Youtube-VIS2019提取的交通场景数据集实验结果表明，SAGRNet相较于弱监督基准网络平均分割精度提升5.1%达到38.1%ï¼Œä¸ºå®žçŽ°å¤šç›®æ ‡æ„ŸçŸ¥å’Œå®žä¾‹çº§åœºæ™¯ç†è§£æä¾›äº†æœ‰æ•ˆç®—æ³•ä¾æ®ã€‚
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Guangxue Jingmi Gongcheng/Optics and Precision Engineering
Guangxue Jingmi Gongcheng/Optics and Precision Engineering Materials Science-Electronic, Optical and Magnetic Materials
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2.40
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