{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,5]],"date-time":"2025-07-05T04:08:40Z","timestamp":1751688520809,"version":"3.41.0"},"publisher-location":"Cham","reference-count":17,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319773797"},{"type":"electronic","value":"9783319773803"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-3-319-77380-3_28","type":"book-chapter","created":{"date-parts":[[2018,5,9]],"date-time":"2018-05-09T14:59:02Z","timestamp":1525877942000},"page":"293-302","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Adapting Generic Detector for Semi-Supervised Pedestrian Detection"],"prefix":"10.1007","author":[{"given":"Shiyao","family":"Lei","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qiujia","family":"Ji","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shufeng","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Si","family":"Wu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,5,10]]},"reference":[{"key":"28_CR1","doi-asserted-by":"crossref","unstructured":"Dai, W., Yang, Q., Xue, G.R., Yu, Y.: Boosting for transfer learning. In: ICML, pp. 193\u2013200 (2007)","DOI":"10.1145\/1273496.1273521"},{"key":"28_CR2","unstructured":"Deng, J., Berg, A., Satheesh, S., Su, H., Khosla, A., Fei-Fei, L.: Imagenet large scale visual recognition competition (2012). http:\/\/www.image-net.org\/challenges\/LSVRC\/2012\/"},{"issue":"4","key":"28_CR3","doi-asserted-by":"publisher","first-page":"743","DOI":"10.1109\/TPAMI.2011.155","volume":"34","author":"P Dollar","year":"2012","unstructured":"Dollar, P., Wojek, C., Schiele, B., Perona, P.: Pedestrian detection: an evaluation of the state of the art. IEEE TPAMI 34(4), 743\u2013761 (2012)","journal-title":"IEEE TPAMI"},{"key":"28_CR4","doi-asserted-by":"crossref","unstructured":"Gong, B., Shi, Y., Sha, F., Grauman, K.: Geodesic flow kernel for unsupervised domain adaptation. In: CVPR, pp. 2066\u20132073 (2012)","DOI":"10.1109\/CVPR.2012.6247911"},{"key":"28_CR5","doi-asserted-by":"crossref","unstructured":"Javed, O., Ali, S., Shah, M.: Online detection and classification of moving objects using progressively improving detectors. In: CVPR, pp. 696\u2013701 (2005)","DOI":"10.1109\/CVPR.2005.259"},{"key":"28_CR6","doi-asserted-by":"crossref","unstructured":"Jiang, W., Zavesky, E., Chang, S., Loui, A.: Cross-domain learning methods for high-level visual concept classification. In: ICIP, pp. 161\u2013164 (2008)","DOI":"10.1109\/ICIP.2008.4711716"},{"key":"28_CR7","unstructured":"Krizhevsky, A., Sutskever, I., Hinton, G.E.: Imagenet classification with deep convolutional neural networks. In: NIPS, pp. 1106\u20131114 (2014)"},{"issue":"5","key":"28_CR8","first-page":"1388","volume":"20","author":"J Pang","year":"2011","unstructured":"Pang, J., Huang, Q., Yan, S., Jiang, S., Qin, L.: Transferring boosted detectors towards viewpoint and scene adaptiveness. IEEE TIP 20(5), 1388\u20131400 (2011)","journal-title":"IEEE TIP"},{"key":"28_CR9","doi-asserted-by":"crossref","unstructured":"Rosenberg, C., Hebert, M., Freund, Y.: Semi-supervised self-training of object detection models. In: IEEE Workshop Application of Computer Vision, pp. 29\u201336 (2005)","DOI":"10.1109\/ACVMOT.2005.107"},{"key":"28_CR10","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"369","DOI":"10.1007\/978-3-642-15549-9_27","volume-title":"Computer Vision \u2013 ECCV 2010","author":"S Stalder","year":"2010","unstructured":"Stalder, S., Grabner, H., Van Gool, L.: Cascaded confidence filtering for improved tracking-by-detection. In: Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010. LNCS, vol. 6311, pp. 369\u2013382. Springer, Heidelberg (2010). https:\/\/doi.org\/10.1007\/978-3-642-15549-9_27"},{"key":"28_CR11","unstructured":"Tan, M., Wang, L., Tsang, I.W.: Learning sparse SVM for feature selection on very high dimensional datasets. In: ICML, pp. 1047\u20131054 (2010)"},{"key":"28_CR12","doi-asserted-by":"crossref","unstructured":"Wang, M., Li, W., Wang, X.: Transferring a generic pedestrian detector towards specific scenes. In: CVPR, pp. 3274\u20133281 (2012)","DOI":"10.1109\/CVPR.2012.6248064"},{"key":"28_CR13","doi-asserted-by":"crossref","unstructured":"Wang, M., Wang, X.: Automatic adaptation of a generic pedestrian detector to a specific traffic scene. In: CVPR, pp. 3401\u20133408 (2011)","DOI":"10.1109\/CVPR.2011.5995698"},{"issue":"2","key":"28_CR14","doi-asserted-by":"publisher","first-page":"361","DOI":"10.1109\/TPAMI.2013.124","volume":"36","author":"X Wang","year":"2014","unstructured":"Wang, X., Wang, M., Li, W.: Scene-specific pedestrian detection for static video surveillance. IEEE TPAMI 36(2), 361\u2013374 (2014)","journal-title":"IEEE TPAMI"},{"key":"28_CR15","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"472","DOI":"10.1007\/978-3-319-10578-9_31","volume-title":"Computer Vision \u2013 ECCV 2014","author":"X Zeng","year":"2014","unstructured":"Zeng, X., Ouyang, W., Wang, M., Wang, X.: Deep learning of scene-specific classifier for pedestrian detection. In: Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.) ECCV 2014. LNCS, vol. 8691, pp. 472\u2013487. Springer, Cham (2014). https:\/\/doi.org\/10.1007\/978-3-319-10578-9_31"},{"key":"28_CR16","doi-asserted-by":"crossref","unstructured":"Zhang, S., Benenson, R., Schiele, B.: Filtered channels features for pedestrian detection. In: CVPR, pp. 1751\u20131760 (2015)","DOI":"10.1109\/CVPR.2015.7298784"},{"key":"28_CR17","doi-asserted-by":"publisher","first-page":"800","DOI":"10.1016\/j.neucom.2014.07.054","volume":"149","author":"X Zhang","year":"2015","unstructured":"Zhang, X., He, F., Tian, L., Wang, S.: Cognitive pedestrian detector: adapting detector to specific scene by transferring attributes. Neurocomputing 149, 800\u2013810 (2015)","journal-title":"Neurocomputing"}],"container-title":["Lecture Notes in Computer Science","Advances in Multimedia Information Processing \u2013 PCM 2017"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-77380-3_28","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,4]],"date-time":"2025-07-04T11:47:58Z","timestamp":1751629678000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-77380-3_28"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783319773797","9783319773803"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-77380-3_28","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2018]]}}}