{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:24:59Z","timestamp":1750220699191,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":38,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,10,30]],"date-time":"2020-10-30T00:00:00Z","timestamp":1604016000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2020,10,30]]},"DOI":"10.1145\/3436369.3437415","type":"proceedings-article","created":{"date-parts":[[2021,1,12]],"date-time":"2021-01-12T03:00:58Z","timestamp":1610420458000},"page":"181-186","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["PruneFaceDet"],"prefix":"10.1145","author":[{"given":"Jingsheng","family":"Lin","sequence":"first","affiliation":[{"name":"Ruijin Hospital Affiliated to Shanghai Jiao Tong University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xu","family":"Zhao","sequence":"additional","affiliation":[{"name":"Institute of Automation, Chinese Academy of Sciences, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nanfei","family":"Jiang","sequence":"additional","affiliation":[{"name":"Institute of Automation, Chinese Academy of Sciences, Beijing, China and School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jinqiao","family":"Wang","sequence":"additional","affiliation":[{"name":"Institute of Automation, Chinese Academy of Sciences, Beijing, China and School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2021,1,11]]},"reference":[{"key":"e_1_3_2_1_1_1","first-page":"2980","article-title":"Focal loss for dense object detection","author":"Lin Tsung-Yi","year":"2017","unstructured":"Tsung-Yi Lin , Priya Goyal , Ross Girshick , Kaiming He , and Piotr Dollar , \" Focal loss for dense object detection ,\" in Proceedings of the IEEE international conference on computer vision , 2017 , pp. 2980 -- 2988 . Tsung-Yi Lin, Priya Goyal, Ross Girshick, Kaiming He, and Piotr Dollar, \"Focal loss for dense object detection,\" in Proceedings of the IEEE international conference on computer vision, 2017, pp. 2980--2988.","journal-title":"Proceedings of the IEEE international conference on computer vision"},{"key":"e_1_3_2_1_2_1","first-page":"797","volume-title":"A context-assisted single shot face detector,\" in Proceedings of the European Conference on Computer Vision (ECCV)","author":"Tang Xu","year":"2018","unstructured":"Xu Tang , Daniel K Du , Zeqiang He , and Jingtuo Liu , \"Pyramidbox : A context-assisted single shot face detector,\" in Proceedings of the European Conference on Computer Vision (ECCV) , 2018 , pp. 797 -- 813 . Xu Tang, Daniel K Du, Zeqiang He, and Jingtuo Liu, \"Pyramidbox: A context-assisted single shot face detector,\" in Proceedings of the European Conference on Computer Vision (ECCV), 2018, pp. 797--813."},{"key":"e_1_3_2_1_3_1","unstructured":"Cheng Chi Shifeng Zhang Junliang Xing Zhen Lei Stan Z Li and Xudong Zou \"Selective refinement network for high performance face detection \" arXiv preprint arXiv:1809.02693 2018.  Cheng Chi Shifeng Zhang Junliang Xing Zhen Lei Stan Z Li and Xudong Zou \"Selective refinement network for high performance face detection \" arXiv preprint arXiv:1809.02693 2018."},{"key":"e_1_3_2_1_4_1","first-page":"1","volume-title":"IEEE","author":"Zhang Shifeng","year":"2017","unstructured":"Shifeng Zhang , Xiangyu Zhu , Zhen Lei , Hailin Shi , Xiaobo Wang , and Stan Z Li , \"Faceboxes : A cpu real-time face detector with high accuracy,\" in 2017 IEEE International Joint Conference on Biometrics (IJCB) . IEEE , 2017 , pp. 1 -- 9 . Shifeng Zhang, Xiangyu Zhu, Zhen Lei, Hailin Shi, Xiaobo Wang, and Stan Z Li, \"Faceboxes: A cpu real-time face detector with high accuracy,\" in 2017 IEEE International Joint Conference on Biometrics (IJCB). IEEE, 2017, pp. 1--9."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.3390\/s19092158"},{"key":"e_1_3_2_1_6_1","volume-title":"Training neural networks with weights and activations constrained to+ 1 or-1,\" arXiv preprint arXiv:1602.02830","author":"Hubara Itay","year":"2016","unstructured":"Itay Hubara , Matthieu Courbariaux , Daniel Soudry , Ran ElYaniv , and Yoshua Bengio , \" Binarized neural networks : Training neural networks with weights and activations constrained to+ 1 or-1,\" arXiv preprint arXiv:1602.02830 , 2016 . Itay Hubara, Matthieu Courbariaux, Daniel Soudry, Ran ElYaniv, and Yoshua Bengio, \"Binarized neural networks: Training neural networks with weights and activations constrained to+ 1 or-1,\" arXiv preprint arXiv:1602.02830, 2016."},{"key":"e_1_3_2_1_7_1","first-page":"525","volume-title":"Imagenet classification using binary convolutional neural networks,\" in European conference on computer vision","author":"Rastegari Mohammad","year":"2016","unstructured":"Mohammad Rastegari , Vicente Ordonez , Joseph Redmon , and Ali Farhadi , \"Xnor-net : Imagenet classification using binary convolutional neural networks,\" in European conference on computer vision . Springer , 2016 , pp. 525 -- 542 . Mohammad Rastegari, Vicente Ordonez, Joseph Redmon, and Ali Farhadi, \"Xnor-net: Imagenet classification using binary convolutional neural networks,\" in European conference on computer vision. Springer, 2016, pp. 525--542."},{"key":"e_1_3_2_1_8_1","first-page":"4820","article-title":"Quantized convolutional neural networks for mobile devices","author":"Wu Jiaxiang","year":"2016","unstructured":"Jiaxiang Wu , Cong Leng , Yuhang Wang , Qinghao Hu , and Jian Cheng , \" Quantized convolutional neural networks for mobile devices ,\" in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , 2016 , pp. 4820 -- 4828 . Jiaxiang Wu, Cong Leng, Yuhang Wang, Qinghao Hu, and Jian Cheng, \"Quantized convolutional neural networks for mobile devices,\" in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2016, pp. 4820--4828.","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"e_1_3_2_1_9_1","first-page":"2704","article-title":"Quantization and training of neural networks for efficient integer-arithmetic-only inference","author":"Jacob Benoit","year":"2018","unstructured":"Benoit Jacob , Skirmantas Kligys , Bo Chen , Menglong Zhu , Matthew Tang , Andrew Howard , Hartwig Adam , and Dmitry Kalenichenko , \" Quantization and training of neural networks for efficient integer-arithmetic-only inference ,\" in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , 2018 , pp. 2704 -- 2713 . Benoit Jacob, Skirmantas Kligys, Bo Chen, Menglong Zhu, Matthew Tang, Andrew Howard, Hartwig Adam, and Dmitry Kalenichenko, \"Quantization and training of neural networks for efficient integer-arithmetic-only inference,\" in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2018, pp. 2704--2713.","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"e_1_3_2_1_10_1","first-page":"267","volume-title":"Towards very tiny cnn for object detection,\" in Proceedings of the European Conference on Computer Vision (ECCV)","author":"Wei Yi","year":"2018","unstructured":"Yi Wei , Xinyu Pan , Hongwei Qin , Wanli Ouyang , and Junjie Yan , \" Quantization mimic : Towards very tiny cnn for object detection,\" in Proceedings of the European Conference on Computer Vision (ECCV) , 2018 , pp. 267 -- 283 . Yi Wei, Xinyu Pan, Hongwei Qin, Wanli Ouyang, and Junjie Yan, \"Quantization mimic: Towards very tiny cnn for object detection,\" in Proceedings of the European Conference on Computer Vision (ECCV), 2018, pp. 267--283."},{"key":"e_1_3_2_1_11_1","first-page":"4340","article-title":"Filter pruning via geometric median for deep convolutional neural networks acceleration","author":"He Yang","year":"2019","unstructured":"Yang He , Ping Liu , Ziwei Wang , Zhilan Hu , and Yi Yang , \" Filter pruning via geometric median for deep convolutional neural networks acceleration ,\" in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , 2019 , pp. 4340 -- 4349 . Yang He, Ping Liu, Ziwei Wang, Zhilan Hu, and Yi Yang, \"Filter pruning via geometric median for deep convolutional neural networks acceleration,\" in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019, pp. 4340--4349.","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"e_1_3_2_1_12_1","first-page":"2736","article-title":"Learning efficient convolutional networks through network slimming","author":"Liu Zhuang","year":"2017","unstructured":"Zhuang Liu , Jianguo Li , Zhiqiang Shen , Gao Huang , Shoumeng Yan , and Changshui Zhang , \" Learning efficient convolutional networks through network slimming ,\" in Proceedings of the IEEE International Conference on Computer Vision , 2017 , pp. 2736 -- 2744 . Zhuang Liu, Jianguo Li, Zhiqiang Shen, Gao Huang, Shoumeng Yan, and Changshui Zhang, \"Learning efficient convolutional networks through network slimming,\" in Proceedings of the IEEE International Conference on Computer Vision, 2017, pp. 2736--2744.","journal-title":"Proceedings of the IEEE International Conference on Computer Vision"},{"key":"e_1_3_2_1_13_1","first-page":"5840","article-title":"More is less: A more complicated network with less inference complexity","author":"Dong Xuanyi","year":"2017","unstructured":"Xuanyi Dong , Junshi Huang , Yi Yang , and Shuicheng Yan , \" More is less: A more complicated network with less inference complexity ,\" in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , 2017 , pp. 5840 -- 5848 . Xuanyi Dong, Junshi Huang, Yi Yang, and Shuicheng Yan, \"More is less: A more complicated network with less inference complexity,\" in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2017, pp. 5840--5848.","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"e_1_3_2_1_14_1","first-page":"9194","article-title":"Nisp: Pruning networks using neuron importance score propagation","author":"Yu Ruichi","year":"2018","unstructured":"Ruichi Yu , Ang Li , Chun-Fu Chen , Jui-Hsin Lai , Vlad I Morariu , Xintong Han , Mingfei Gao , Ching-Yung Lin , and Larry S Davis , \" Nisp: Pruning networks using neuron importance score propagation ,\" in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , 2018 , pp. 9194 -- 9203 . Ruichi Yu, Ang Li, Chun-Fu Chen, Jui-Hsin Lai, Vlad I Morariu, Xintong Han, Mingfei Gao, Ching-Yung Lin, and Larry S Davis, \"Nisp: Pruning networks using neuron importance score propagation,\" in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2018, pp. 9194--9203.","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"e_1_3_2_1_15_1","unstructured":"Hao Li Asim Kadav Igor Durdanovic Hanan Samet and Hans Peter Graf \"Pruning filters for efficient convnets \" arXiv preprint arXiv:1608.08710 2016.  Hao Li Asim Kadav Igor Durdanovic Hanan Samet and Hans Peter Graf \"Pruning filters for efficient convnets \" arXiv preprint arXiv:1608.08710 2016."},{"key":"e_1_3_2_1_16_1","unstructured":"Hans Peter Graf \"Pruning filters for efficient convnets \" arXiv preprint arXiv:1608.08710 2016.  Hans Peter Graf \"Pruning filters for efficient convnets \" arXiv preprint arXiv:1608.08710 2016."},{"key":"e_1_3_2_1_17_1","first-page":"1389","article-title":"Channel pruning for accelerating very deep neural networks","author":"He Yihui","year":"2017","unstructured":"Yihui He , Xiangyu Zhang , and Jian Sun , \" Channel pruning for accelerating very deep neural networks ,\" in Proceedings of the IEEE International Conference on Computer Vision , 2017 , pp. 1389 -- 1397 . Yihui He, Xiangyu Zhang, and Jian Sun, \"Channel pruning for accelerating very deep neural networks,\" in Proceedings of the IEEE International Conference on Computer Vision, 2017, pp. 1389--1397.","journal-title":"Proceedings of the IEEE International Conference on Computer Vision"},{"key":"e_1_3_2_1_18_1","first-page":"1921","article-title":"A comprehensive overhaul of feature distillation","author":"Heo Byeongho","year":"2019","unstructured":"Byeongho Heo , Jeesoo Kim , Sangdoo Yun , Hyojin Park , Nojun Kwak , and Jin Young Choi , \" A comprehensive overhaul of feature distillation ,\" in Proceedings of the IEEE International Conference on Computer Vision , 2019 , pp. 1921 -- 1930 . Byeongho Heo, Jeesoo Kim, Sangdoo Yun, Hyojin Park, Nojun Kwak, and Jin Young Choi, \"A comprehensive overhaul of feature distillation,\" in Proceedings of the IEEE International Conference on Computer Vision, 2019, pp. 1921--1930.","journal-title":"Proceedings of the IEEE International Conference on Computer Vision"},{"key":"e_1_3_2_1_19_1","unstructured":"Geoffrey Hinton Oriol Vinyals and Jeff Dean \"Distilling the knowledge in a neural network \" arXiv preprint arXiv:1503.02531 2015.  Geoffrey Hinton Oriol Vinyals and Jeff Dean \"Distilling the knowledge in a neural network \" arXiv preprint arXiv:1503.02531 2015."},{"key":"e_1_3_2_1_20_1","unstructured":"Subhabrata Mukherjee and Ahmed Hassan Awadallah \"Distilling transformers into simple neural networks with unlabeled transfer data \" arXiv preprint arXiv:1910.01769 2019.  Subhabrata Mukherjee and Ahmed Hassan Awadallah \"Distilling transformers into simple neural networks with unlabeled transfer data \" arXiv preprint arXiv:1910.01769 2019."},{"key":"e_1_3_2_1_21_1","first-page":"0","article-title":"Slimyolov3: Narrower, faster and better for real-time uav applications","author":"Zhang Pengyi","year":"2019","unstructured":"Pengyi Zhang , Yunxin Zhong , and Xiaoqiong Li , \" Slimyolov3: Narrower, faster and better for real-time uav applications ,\" in Proceedings of the IEEE International Conference on Computer Vision Workshops , 2019 , pp. 0 -- 0 . Pengyi Zhang, Yunxin Zhong, and Xiaoqiong Li, \"Slimyolov3: Narrower, faster and better for real-time uav applications,\" in Proceedings of the IEEE International Conference on Computer Vision Workshops, 2019, pp. 0--0.","journal-title":"Proceedings of the IEEE International Conference on Computer Vision Workshops"},{"key":"e_1_3_2_1_22_1","volume-title":"an incremental improvement","author":"Redmon Joseph","year":"2018","unstructured":"Joseph Redmon and Ali Farhadi , \"Yolov3 : an incremental improvement ( 2018 ),\" arXiv preprint arXiv:1804.02767, 1804. Joseph Redmon and Ali Farhadi, \"Yolov3: an incremental improvement (2018),\" arXiv preprint arXiv:1804.02767, 1804."},{"key":"e_1_3_2_1_23_1","volume-title":"Efficient convolutional neural networks for mobile vision applications,\" CoRR","author":"Howard Andrew G.","year":"2017","unstructured":"Andrew G. Howard , Menglong Zhu , Bo Chen , Dmitry Kalenichenko , Weijun Wang , Tobias Weyand , Marco Andreetto , and Hartwig Adam , \"Mobilenets : Efficient convolutional neural networks for mobile vision applications,\" CoRR , 2017 . Andrew G. Howard, Menglong Zhu, Bo Chen, Dmitry Kalenichenko, Weijun Wang, Tobias Weyand, Marco Andreetto, and Hartwig Adam, \"Mobilenets: Efficient convolutional neural networks for mobile vision applications,\" CoRR, 2017."},{"key":"e_1_3_2_1_24_1","first-page":"21","volume-title":"Single shot multibox detector,\" in European conference on computer vision","author":"Liu Wei","year":"2016","unstructured":"Wei Liu , Dragomir Anguelov , Dumitru Erhan , Christian Szegedy , Scott Reed , Cheng-Yang Fu , and Alexander C Berg , \"Ssd : Single shot multibox detector,\" in European conference on computer vision . Springer , 2016 , pp. 21 -- 37 . Wei Liu, Dragomir Anguelov, Dumitru Erhan, Christian Szegedy, Scott Reed, Cheng-Yang Fu, and Alexander C Berg, \"Ssd: Single shot multibox detector,\" in European conference on computer vision. Springer, 2016, pp. 21--37."},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2016.2603342"},{"key":"e_1_3_2_1_26_1","first-page":"1026","article-title":"Delving deep into rectifiers: Surpassing human-level performance on imagenet classification","author":"He Kaiming","year":"2015","unstructured":"Kaiming He , Xiangyu Zhang , Shaoqing Ren , and Jian Sun , \" Delving deep into rectifiers: Surpassing human-level performance on imagenet classification ,\" in Proceedings of the IEEE international conference on computer vision , 2015 , pp. 1026 -- 1034 . Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun, \"Delving deep into rectifiers: Surpassing human-level performance on imagenet classification,\" in Proceedings of the IEEE international conference on computer vision, 2015, pp. 1026--1034.","journal-title":"Proceedings of the IEEE international conference on computer vision"},{"key":"e_1_3_2_1_27_1","unstructured":"Vinod Nair and Geoffrey E Hinton \"Rectified linear units improve restricted boltzmann machines \" in Proceedings of the 27th international conference on machine learning (ICML-10) 2010 pp. 807--814.  Vinod Nair and Geoffrey E Hinton \"Rectified linear units improve restricted boltzmann machines \" in Proceedings of the 27th international conference on machine learning (ICML-10) 2010 pp. 807--814."},{"key":"e_1_3_2_1_28_1","volume-title":"Accelerating deep network training by reducing internal covariate shift,\" arXiv preprint arXiv:1502.03167","author":"Ioffe Sergey","year":"2015","unstructured":"Sergey Ioffe and Christian Szegedy , \" Batch normalization : Accelerating deep network training by reducing internal covariate shift,\" arXiv preprint arXiv:1502.03167 , 2015 . Sergey Ioffe and Christian Szegedy, \"Batch normalization: Accelerating deep network training by reducing internal covariate shift,\" arXiv preprint arXiv:1502.03167, 2015."},{"key":"e_1_3_2_1_29_1","first-page":"5525","article-title":"Wider face: A face detection benchmark","author":"Yang Shuo","year":"2016","unstructured":"Shuo Yang , Ping Luo , Chen-Change Loy , and Xiaoou Tang , \" Wider face: A face detection benchmark ,\" in Proceedings of the IEEE conference on computer vision and pattern recognition , 2016 , pp. 5525 -- 5533 . Shuo Yang, Ping Luo, Chen-Change Loy, and Xiaoou Tang, \"Wider face: A face detection benchmark,\" in Proceedings of the IEEE conference on computer vision and pattern recognition, 2016, pp. 5525--5533.","journal-title":"Proceedings of the IEEE conference on computer vision and pattern recognition"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00447"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.155"},{"key":"e_1_3_2_1_32_1","first-page":"2074","volume-title":"Proc. NeurIPS","author":"Wen Wei","year":"2016","unstructured":"Wei Wen , Chunpeng Wu , Yandan Wang , Yiran Chen , and Hai Li . Learning structured sparsity indeepneural networks . In Proc. NeurIPS , pages 2074 -- 2082 , 2016 . Wei Wen, Chunpeng Wu, Yandan Wang, Yiran Chen, and Hai Li. Learning structured sparsity indeepneural networks. In Proc. NeurIPS, pages 2074--2082, 2016."},{"key":"e_1_3_2_1_33_1","first-page":"2270","volume-title":"Proce. NeurIPS","author":"Alvarez Jose M","year":"2016","unstructured":"Jose M Alvarez and Mathieu Salzmann . Learning the number of neurons in deep networks . In Proce. NeurIPS , pages 2270 -- 2278 , 2016 . Jose M Alvarez and Mathieu Salzmann. Learning the number of neurons in deep networks. In Proce. NeurIPS, pages 2270--2278, 2016."},{"key":"e_1_3_2_1_34_1","volume-title":"Proc. ICLR","author":"Zhang Dejiao","year":"2018","unstructured":"Dejiao Zhang , Haozhu Wang , Mario Figueiredo , and Laura Balzano . Learning to share: Simultaneous parameter tying and sparsification in deep learning . In Proc. ICLR , 2018 . Dejiao Zhang, Haozhu Wang, Mario Figueiredo, and Laura Balzano. Learning to share: Simultaneous parameter tying and sparsification in deep learning. In Proc. ICLR, 2018."},{"key":"e_1_3_2_1_35_1","volume-title":"Joint Face Detection and Alignmentusing Multitask Cascaded Convolutional Networks. CoRR","author":"Zhang Kaipeng","year":"2016","unstructured":"Kaipeng Zhang , Zhanpeng Zhang , Zhifeng Li , and Yu Qiao . 2016. Joint Face Detection and Alignmentusing Multitask Cascaded Convolutional Networks. CoRR ( 2016 ). Kaipeng Zhang, Zhanpeng Zhang, Zhifeng Li, and Yu Qiao. 2016. Joint Face Detection and Alignmentusing Multitask Cascaded Convolutional Networks. CoRR (2016)."},{"key":"e_1_3_2_1_36_1","volume-title":"WiderFace: A Face Detection Benchmark. In 2016 IEEE Conference on Computer Vision and Pattern Recognition, CVPR2016","author":"Yang Shuo","year":"2016","unstructured":"Shuo Yang , Ping Luo , Chen Change Loy , and Xiaoou Tang . 2016 . WiderFace: A Face Detection Benchmark. In 2016 IEEE Conference on Computer Vision and Pattern Recognition, CVPR2016 , LasVegas, NV, USA , June 27-30, 2016. IEEE Computer Society, 5525--5533. https:\/\/doi.org\/10.1109\/CVPR.2016.596 10.1109\/CVPR.2016.596 Shuo Yang, Ping Luo, Chen Change Loy, and Xiaoou Tang. 2016. WiderFace: A Face Detection Benchmark. In 2016 IEEE Conference on Computer Vision and Pattern Recognition, CVPR2016, LasVegas, NV, USA, June 27-30, 2016. IEEE Computer Society, 5525--5533. https:\/\/doi.org\/10.1109\/CVPR.2016.596"},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.12720\/jait.11.2.103-108"},{"key":"e_1_3_2_1_38_1","first-page":"74","volume-title":"May, 2017. doi: 10","author":"Salwa A.","unstructured":"Salwa A. Al-agha, Hilal H. Saleh , and Rana F . Ghani, \"Geometric-based Feature Extraction and Classification for Emotion Expressions of 3D Video Film,\" Vol. 8, No. 2, pp. 74--79 , May, 2017. doi: 10 .12720\/jait.8.2. 74 - 79 10.12720\/jait.8.2.74-79 Salwa A. Al-agha, Hilal H. Saleh, and Rana F. Ghani, \"Geometric-based Feature Extraction and Classification for Emotion Expressions of 3D Video Film,\" Vol. 8, No. 2, pp. 74--79, May, 2017. doi: 10.12720\/jait.8.2.74-79"}],"event":{"name":"ICCPR 2020: 2020 9th International Conference on Computing and Pattern Recognition","sponsor":["Beijing University of Technology"],"location":"Xiamen China","acronym":"ICCPR 2020"},"container-title":["Proceedings of the 2020 9th International Conference on Computing and Pattern Recognition"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3436369.3437415","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3436369.3437415","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T22:32:51Z","timestamp":1750199571000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3436369.3437415"}},"subtitle":["Pruning Lightweight Face Detection Network by Sparsity Training"],"short-title":[],"issued":{"date-parts":[[2020,10,30]]},"references-count":38,"alternative-id":["10.1145\/3436369.3437415","10.1145\/3436369"],"URL":"https:\/\/doi.org\/10.1145\/3436369.3437415","relation":{},"subject":[],"published":{"date-parts":[[2020,10,30]]},"assertion":[{"value":"2021-01-11","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}