stress-response
发表于 2025-3-28 17:01:48
Conference proceedings 2024sion and Image Processing, CVIP 2023, held in Jammu, India, during November 3–5, 2023. ..The 140 revised full papers presented in these proceedings were carefully reviewed and selected from 461 submissions. The papers focus on various important and emerging topics in image processing, computer visio
安心地散步
发表于 2025-3-28 20:59:29
,An Improved AttnGAN Model for Text-to-Image Synthesis,d quantitatively. For the image quality analysis, we utilize performance measures such as FID score, R-precision, and IS score. Our results show that the proposed model outperforms existing approaches, producing more realistic images by preserving vital information in the input sequence.
Morbid
发表于 2025-3-29 02:57:53
,Face Image Inpainting Using Context Encoders and Dynamically Initialized Mask,ability to recover clear face images from occluded face images has found applications in various domains. One prominent approach in this context is the utilization of autoencoders within the framework of Generative Adversarial Networks (GAN), such as the Context Encoder (CE). The CE is an unsupervis
不透气
发表于 2025-3-29 04:17:44
A Comparative Study on Deep CNN Visual Encoders for Image Captioning,he integration of computer vision and natural language processing technology. Despite the fact that numerous techniques for generating image captions have been developed, the result is inadequate and the need for research in this area is still a demanding topic. The human process of describing any i
Externalize
发表于 2025-3-29 08:40:21
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ANTE
发表于 2025-3-29 12:08:50
,Semi-supervised Polyp Classification in Colonoscopy Images Using GAN,an effective treatment as unnecessary surgeries and ignorance of any potential cancer could be the situations of concern. Thus, classifying any detected lesion as an adenoma (with the potential to become cancerous) or hyperplastic (non-cancerous) is necessary. In recent years, such classification ta
myelography
发表于 2025-3-29 17:00:34
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IDEAS
发表于 2025-3-29 23:37:39
Cross-Domain Feature Extraction Using CycleGAN for Large FoV Thermal Image Creation,oV) in thermal imaging systems often results in insufficient and fragmented large Field of View (FoV) simulation data, thereby compromising the effectiveness of defense applications using large Field of View (FoV) cameras. To address this challenge, we propose an innovative approach employing image
CBC471
发表于 2025-3-30 01:09:38
,Classification of Insect Pest Using Transfer Learning Mechanism,ps in the agricultural sector. The identification of crop pests is a difficult problem since, pest infestations cause significant crop damage and quality degradation. The majority of insect species are quite similar to one another that makes the task of detection of the insect on field crops like ri
背信
发表于 2025-3-30 08:06:01
,Federated Scaling of Pre-trained Models for Deep Facial Expression Recognition,al data and the rise in data privacy concerns. Federated learning has emerged as a promising solution for such problems, which however is communication-inefficient. Recently, pre-trained models have shown effective performance in federated learning setups regarding convergence. In this paper, we ext