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COMPUTER VISION AND IMAGE PROCESSING, CVIP 2023, PT II

Kaur, H [szerk.]; Jakhetiya, V [szerk.]; Goyal, P [szerk.]; Khanna, P [szerk.]; Raman, B [szerk.]; Kumar, S [szerk.]

Angol nyelvű Konferenciakötet (Könyv) Tudományos

Megjelent: Springer International Publishing, Cham, Svájc 2024

Konferencia: 8th International Conference on Computer Vision and Image Processing, CVIP 2023 2023-11-03 [Jammu, India]

Sorozatok: Communications in Computer and Information Science 1865-0929 1865-0937

Azonosítók

MTMT: 35535093
ISBN: 9783031581731
ISBN: 9783031581748

Fejezetek

Singh Tanisha et al. Automated BBPS Scoring in Colonoscopy: A Comparative Analysis of Pre-trained Deep Learning Architectures. (2024) Megjelent: COMPUTER VISION AND IMAGE PROCESSING, CVIP 2023, PT II pp. 25-36
Anand Kanupriya et al. LiteFace: A Light-Weight Multi-person Face Detection Model. (2024) Megjelent: COMPUTER VISION AND IMAGE PROCESSING, CVIP 2023, PT II pp. 288-300
Perumal Murukessan et al. DeYOLO: A CNN Based Novel Approach for Classification and Localization of Pneumonia in Chest Radiographs. (2024) Megjelent: COMPUTER VISION AND IMAGE PROCESSING, CVIP 2023, PT II pp. 382-393
Kumar G. R. et al. Hierarchical CNN and Ensemble Learning for Efficient Eye-Gaze Detection. (2024) Megjelent: COMPUTER VISION AND IMAGE PROCESSING, CVIP 2023, PT II pp. 529-541
Singh Nakul et al. Learnable GAN Regularization for Improving Training Stability in Limited Data Paradigm. (2024) Megjelent: COMPUTER VISION AND IMAGE PROCESSING, CVIP 2023, PT II pp. 542-554
Sardar Abha Singh et al. Enhancing Computer Vision Performance: A Hybrid Deep Learning Approach with CNNs and Vision Transformers. (2024) Megjelent: COMPUTER VISION AND IMAGE PROCESSING, CVIP 2023, PT II pp. 591-602

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2025-04-24 12:31

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