Oct 27, 2023 · Specifically, we introduce a unique reconstruction method to assign text representations into the same spatial structure with images or videos ...
Oct 29, 2023 · Specifically, we introduce a unique reconstruction method to assign text representations into the same spatial struc- ture with images or videos ...
Specifically, we introduce a unique reconstruction method to assign text representations into the same spatial structure with images or videos and a pretraining ...
Apr 29, 2022 · We propose to learn contextualized, joint representations through vision-language pre-training, for the sake of enhancing the performance of scene text ...
SpaceCLIP: A Vision-Language Pretraining Framework With Spatial Reconstruction On Text · Published: 31 Dec 2022, Last Modified: 04 Nov 2023 · ACM Multimedia 2023 ...
In this work, we present an introduction to Vision Language Models (VLMs). We explain what VLMs are, how they are trained, and how to effectively evaluate VLMs.
Dur- ing pre-training, RILS learns to perform masked image modeling and image-text contrastive simultaneously. Masked predictions and corresponding targets are ...
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LLM-in-Vision. Recent LLM (Large Language Models)-based CV and multi-modal works. Welcome to comment/contribute!
Overview of the proposed VLP framework with free language modeling (FLM). First, the image is patchified and en- coded by a vision transformer into a sequence ...
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Unifying 3D Vision-Language Understanding via Promptable Queries · PD-APE: A Parallel Decoding Framework with Adaptive Position Encoding for 3D Visual Grounding.
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