Suchergebnisse - "Shared-encoder decoder"

MATSFT: User query-based multilingual abstractive text summarization for low resource Indian languages by fine-tuning mT5

Autoren: Siginamsetty Phani Ashu Abdul M. Krishna Siva Prasad et al.

Quelle: Alexandria Engineering Journal, Vol 127, Iss, Pp 129-142 (2025)

Schlagwörter: Multilingual text summarization, Co-attention mechanism, User query-based summarization, Fine-tuning mT5, TA1-2040, Engineering (General). Civil engineering (General), Shared encoder–decoder

Zugangs-URL: https://doaj.org/article/5f5bec6e242e417891b146c0d1a6db3e

JOINT MULTITASK LEARNING FOR IMAGE SEGMENTATION AND SALIENT OBJECT DETECTION IN HYPERSPECTRAL IMAGERY

Autoren: Chhapariya, Koushikey Emmett J., Ientilucci Benoit, A et al.

Weitere Verfasser: Chhapariya, Koushikey Emmett J., Ientilucci Benoit, A et al.

Quelle: Workshop on Hyperspectral Images and Signal Processing (WHISPERS 2024) ; https://hal.science/hal-04787308 ; Workshop on Hyperspectral Images and Signal Processing (WHISPERS 2024), Dec 2024, Helsinki, Finland

Schlagwörter: Attention Network, ASPP, Shared-encoder decoder, Salient Object Detection, Image Segmentation, Remote Sensing, Multitask Learning, Hyperspectral Image Classification, [INFO]Computer Science [cs], [SDE]Environmental Sciences, [SDU]Sciences of the Universe [physics]

Geographisches Schlagwort: Helsinki, Finland

Verfügbarkeit: https://hal.science/hal-04787308
https://hal.science/hal-04787308v1/document
https://hal.science/hal-04787308v1/file/WHISPERS_2024.pdf