정성훈
    딥 러닝 기반의 이미지와 비디오 압축 기술 분석
  http://itsys.hansung.ac.kr/cgi-bin/kplus/board/include/DOWNLOAD.php3?table=rsh_AGN&l=102-123615&inc=local&f=filelink&p=215



  등록일 : 2019-08-20 [13:42] 조회 : 132 다운 : 0   
 
△ 이전글Deep Learning-Based Video Coding: A Review and A Case Study
▽ 다음글End-to-End Learning of Video Compression Using Spatio-Temporal Autoencoders
지능시스템기초(뉴로퍼지)
번호 ⓒ 제 목 이름 조회 등록일
l기말과제 최종보고서 내용
54 └❶ lEnergy-based Generative Adversarial Network 답변 정성훈 153 08-20
53 └❶ lSAGAN Self-Attention Generative Adversarial Networks 답변 정성훈 123 08-20
52 └❶ lBEGAN Boundary Equilibrium Generative 답변 정성훈 123 08-20
51 └❶ lBinary Generative Adversarial Networks for Image Retrieval 답변 정성훈 128 08-20
50 └❶ lESRGAN: Enhanced Super-Resolution Generative Adversarial Networks 답변 정성훈 128 08-20
49 └❶ lDeep Learning-Based Video Coding: A Review and A Case Study 답변 정성훈 171 08-20
48 └❶ l딥 러닝 기반의 이미지와 비디오 압축 기술 분석 답변 정성훈 132 08-20
47 └❶ lEnd-to-End Learning of Video Compression Using Spatio-Temporal Auto... 답변 정성훈 114 08-20
46 └❶ lVideo Compression Using Recurrent Convolutional Neural Networks 답변 정성훈 152 08-20
45 └❶ lUtilizing Fuzzy Logic for Recommender Systems 답변 정성훈 113 08-20
44 └❶ lEvolving Deep Neural Networks 답변 정성훈 113 08-20
43 └❶ lWavenet: A Generative Model for Raw Audio 답변 정성훈 132 08-20
42 └❶ lFocal Loss for Dense Object Detection 답변 정성훈 126 08-20
41 └❶ lAttnGAN: Fine-Grained Text to Image Generation with Attentional Gen... 답변 정성훈 152 08-20
40 └❶ lSSD: Single Shot MultiBox Detector 답변 정성훈 138 08-20

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