Titlebook: Computer Vision and Image Processing; 6th International Co Balasubramanian Raman,Subrahmanyam Murala,Puneet G Conference proceedings 2022 T

essential-fats

改变

https://doi.org/10.1007/978-1-4302-4102-7nformation by widening the receptive field. The extensive analysis of the proposed method is carried out by considering benchmark synthetic hazy video databases and analyzed quantitative results. Experimental results show that the proposed method out performs the other state-of-the-art (SOTA) existi

acrobat

Balasubramanian Raman,Subrahmanyam Murala,Puneet G

harmony

,Handwritten Text Retrieval from Unlabeled Collections,nstraint and huge collection size. Our framework allows the addition of new collections without any need for specific finetuning or labeling. Finally, we also present a demonstration of the retrieval framework. ..

pineal-gland

清真寺

CRAFT

,Comparative Analysis of Machine Learning and Deep Learning Models for Ship Classification from Sateion carried out reveals that traditional machine learning performs well when trained and tested on a single dataset. However, there is a drastic change in the performance of machine learning models when tested on a different ship dataset. The results show that the deep learning models have better fe

micronized

,Channel Difference Based Regeneration Architecture for Fake Colorized Image Detection,dge, this is the first work with CDM based auto-encoder for FCID. The performance of the proposed network is tested on benchmark datasets and compared with the existing state-of-the-art methods for FCID in terms of half total error rate (HTER). The experimental results demonstrate that the proposed

婚姻生活

浮夸

MFCA-Net: Multiscale Feature Fusion with Channel-Wise Attention Network for Automatic Liver Segmentultiscale information at a more granular level..Further, we reconstructed the multiscale low-level features and fused them with high-level features that enhance the semantic details in the features. In addition, we employed the channel-wise attention mechanism that renovates the features by modellin