๐ฅ 6x Linkedln Top Voice | AI Research Scientist & Chief Data Scientist at IBM | Generative AI Expert | Author - Hands-on Time Series Analytics with Python | IBM Quantum ML Certified | 11+ Years in AI | MLOps | IIMA |
Day-23 Computer Vision Learning DPN โ Deep Parsing Network (Semantic Segmentation) by The Chinese University of Hong Kong ๐๐ผ๐น๐น๐ผ๐ ๐บ๐ฒ ๐ณ๐ผ๐ฟ ๐๐ถ๐บ๐ถ๐น๐ฎ๐ฟ ๐ฝ๐ผ๐๐ : ๐ฎ๐ณ Ashish Patel ๐๐ป๐๐ฒ๐ฟ๐ฒ๐๐๐ถ๐ป๐ด ๐๐ฎ๐ฐ๐๐: ๐ธ DPN extends a CNN to model unary terms and additional layers are devised to approximate the mean field (MF) algorithm for pairwise terms. ๐ธ This is a paper in 2015 ICCV (over 563 citations) as well as in 2018 TPAMI (over 86 citations) ------------------------------------------------------------------- ๐๐บ๐ฎ๐๐ถ๐ป๐ด ๐ฅ๐ฒ๐๐ฒ๐ฎ๐ฟ๐ฐ๐ต : https://lnkd.in/e2-mv_P, https://lnkd.in/eD9SHii Keras: https://bit.ly/2Nwxzw7 (2018 Model) Tensorflow : https://bit.ly/362fsV1 ------------------------------------------------------------------- ๐๐ ๐ฃ๐ข๐ฅ๐ง๐๐ก๐๐ ๐ธ DPN is derived from VGG16 with Modification ๐ธ This Spatial-Temporal DPN in 2018 TPAMI is very similar to the one in 2015 ICCV except that the input can support multiple images to support video input. ๐ธ Also, b12 and b13 are converted into 3D convolutions for video. #innovation #artificialintelligence #computervision
๐ฅ 6x Linkedln Top Voice | AI Research Scientist & Chief Data Scientist at IBM | Generative AI Expert | Author - Hands-on Time Series Analytics with Python | IBM Quantum ML Certified | 11+ Years in AI | MLOps | IIMA |
3yFollow this github for all post of Computer vision: https://github.com/ashishpatel26/365-Days-Computer-Vision-Learning-Linkedin-Post