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Cross-modal retrieval: a systematic review of methods and future directions
With the exponential surge in diverse multimodal data, traditional unimodal retrieval
methods struggle to meet the needs of users seeking access to data across various …
methods struggle to meet the needs of users seeking access to data across various …
A survey of efficient fine-tuning methods for vision-language models—prompt and adapter
J **_With_Transformer_for_Referring_Image_Segmentation_CVPR_2023_paper.pdf" data-clk="hl=ar&sa=T&oi=gga&ct=gga&cd=8&d=14019609003185524016&ei=CNi5Z_bZNbutieoP7fLpuQI" data-clk-atid="MM29_Buoj8IJ" target="_blank">[PDF] thecvf.com
Contrastive grou** with transformer for referring image segmentation
Referring image segmentation aims to segment the target referent in an image conditioning
on a natural language expression. Existing one-stage methods employ per-pixel …
on a natural language expression. Existing one-stage methods employ per-pixel …
Cross-modal self-attention network for referring image segmentation
We consider the problem of referring image segmentation. Given an input image and a
natural language expression, the goal is to segment the object referred by the language …
natural language expression, the goal is to segment the object referred by the language …