Titlebook: Image and Graphics Technologies and Applications; 16th Chinese Confere Yongtian Wang,Weitao Song Conference proceedings 2021 Springer Natur

生動

書目名稱Image and Graphics Technologies and Applications影響因子(影響力)




書目名稱Image and Graphics Technologies and Applications影響因子(影響力)學(xué)科排名




書目名稱Image and Graphics Technologies and Applications網(wǎng)絡(luò)公開度




書目名稱Image and Graphics Technologies and Applications網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Image and Graphics Technologies and Applications被引頻次




書目名稱Image and Graphics Technologies and Applications被引頻次學(xué)科排名




書目名稱Image and Graphics Technologies and Applications年度引用




書目名稱Image and Graphics Technologies and Applications年度引用學(xué)科排名




書目名稱Image and Graphics Technologies and Applications讀者反饋




書目名稱Image and Graphics Technologies and Applications讀者反饋學(xué)科排名

Accolade

insightful

字的誤用

Classification of Solar Radio Spectrum Based on VGG16 Transfer Learningtion shows that the TPR of the solar radio burst is better than before. The situation has increased by 12.2%. For the overall classification result analysis, the experimental effect is greatly improved on the basis of the original classification.

cogitate

A Channel Attention-Based Convolutional Neural Network for Intra Chroma Prediction of H.266rther improve the chroma prediction performance. The proposed CACNN is incorporated into the VVC test model version 8.2 (VTM 8.2). Experimental results demonstrate that comparing with VTM 8.2 anchor, the proposed method can achieve 2.89%, 2.36% chroma components bit rate savings in high QPs.

ostracize

Pretrained Self-supervised Material Reflectance Estimation Based on a Differentiable Image-Based Reninetune the pretrained model to improve the performance. The proposed architecture only requires one image as input and the experiments are conducted to evaluate the proposed method on both the synthetic data and real data. The results show that our trained model presents dramatic improvement and verifies the effectiveness of the proposed methods.

Ibd810

insurrection

整理

Robust Visual Question Answering Based on Counterfactual Samples and Relationship Perceptionarning appearance language bias during training. And the relationship between image objects perceives semantics. Extensive experiments on the VQA-CP v2 and VQA V2 datasets demonstrate that our proposed model outperforms most state-of-the-art methods.

harrow

Conference proceedings 2021 China in June, 2021.?The 21 papers presented were carefully reviewed and selected from 86 submissions. They provide a forum for sharing progresses in the areas of image processing technology; image analysis and understanding; computer vision and pattern recognition; big data mining, computer graphi