Áö´É½Ã½ºÅÛ±âÃÊ(´º·ÎÆÛÁö)
¹øÈ£ ¨Ï Á¦ ¸ñ À̸§ Á¶È¸ µî·ÏÀÏ
±â¸»°úÁ¦ ÃÖÁ¾º¸°í¼­ ³»¿ë
54 ¦¦❶ lEnergy-based Generative Adversarial Network ´äº¯ Á¤¼ºÈÆ 149 08-20
53 ¦¦❶ lSAGAN Self-Attention Generative Adversarial Networks ´äº¯ Á¤¼ºÈÆ 121 08-20
52 ¦¦❶ lBEGAN Boundary Equilibrium Generative ´äº¯ Á¤¼ºÈÆ 122 08-20
51 ¦¦❶ lBinary Generative Adversarial Networks for Image Retrieval ´äº¯ Á¤¼ºÈÆ 126 08-20
50 ¦¦❶ lESRGAN: Enhanced Super-Resolution Generative Adversarial Networks ´äº¯ Á¤¼ºÈÆ 127 08-20
49 ¦¦❶ lDeep Learning-Based Video Coding: A Review and A Case Study ´äº¯ Á¤¼ºÈÆ 171 08-20
48 ¦¦❶ lµö ·¯´× ±â¹ÝÀÇ À̹ÌÁö¿Í ºñµð¿À ¾ÐÃà ±â¼ú ºÐ¼® ´äº¯ Á¤¼ºÈÆ 131 08-20
47 ¦¦❶ lEnd-to-End Learning of Video Compression Using Spatio-Temporal Auto... ´äº¯ Á¤¼ºÈÆ 113 08-20
46 ¦¦❶ lVideo Compression Using Recurrent Convolutional Neural Networks ´äº¯ Á¤¼ºÈÆ 151 08-20
45 ¦¦❶ lUtilizing Fuzzy Logic for Recommender Systems ´äº¯ Á¤¼ºÈÆ 113 08-20
44 ¦¦❶ lEvolving Deep Neural Networks ´äº¯ Á¤¼ºÈÆ 112 08-20
43 ¦¦❶ lWavenet: A Generative Model for Raw Audio ´äº¯ Á¤¼ºÈÆ 130 08-20
42 ¦¦❶ lFocal Loss for Dense Object Detection ´äº¯ Á¤¼ºÈÆ 124 08-20
41 ¦¦❶ lAttnGAN: Fine-Grained Text to Image Generation with Attentional Gen... ´äº¯ Á¤¼ºÈÆ 150 08-20
40 ¦¦❶ lSSD: Single Shot MultiBox Detector ´äº¯ Á¤¼ºÈÆ 134 08-20

[1][2][3][4][5][6][7][8]