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IEEE5mon
MISC: Ultra-Low Bitrate Image Semantic Compression Driven by Large Multimodal Model
the rapid development of the Large Multimodal Model (LMM) has made it possible to balance these two goals. To solve this problem, this paper proposes a method called Multimodal Image Semantic ...
GitHub5mon
Hierarchical Encoder-decoder for Image Captioning
The official repository for “Hierarchical Encoder-decoder for Image Captioning (HierCap)”. HierCap is a model to guide text generation with hierarchical visual information at three levels: global ...
marktechpost3y
Google AI Proposes Contrastive Captioner (CoCa): A Novel Encoder-Decoder Model That Simultaneously Produces Aligned Unimodal Image And Text Embeddings
On the other hand, encoder-decoder approaches are good at image captioning and visual question answering but not retrieval-style tasks. Google AI researchers provide a unified vision backbone model ...
Business Wire3y
Alma Technologies Launches Scalable Encoder and Decoder Semiconductor IP for VESA DSC 1.2b Visually Lossless Compression
ATHENS, Greece--(BUSINESS WIRE)--IP Highlights: - Fully compliant with VESA DSC 1.2b and backwards compatible with DSC 1.1 - Ultra-low latency visually lossless image compression for all types of ...
Frontiers3y
Hierarchical Encoder-Decoder With Soft Label-Decomposition for Mitochondria Segmentation in EM Images
Semantic segmentation of mitochondria from electron microscopy (EM) images ... nested encoder-decoder with micro U-Nets as the basic building blocks. The HED-Net consists of a soft label-decomposition ...
GitHub4y
Image Compression with Encoder-Decoder Matched Semantic Segmentation
Trinh Man Hoang, Jinjia Zhou, Yibo Fan. 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Seattle, WA, USA, 2020, pp. 619-623. The code is built on DSSLIC & PSPNet ...