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Collaborative positional attention for image to English question answering. [PDF]

Sci Rep
Li Y, Teng H.
europepmc   +1 more source

Physics-Aware Spatiotemporal Consistency for Transferable Defense of Autonomous Driving Perception. [PDF]

Sensors (Basel)
Liu Y, Nie Z, Yu T, Chen M, Yao Z, Lu J, Peng L, Fan F.   +7 more
europepmc   +1 more source

Modality and subjective semantics

Modality and subjective semantics
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Modal Semantics without Worlds

Philosophy Compass, 2016
Abstract Over the last half century, possible worlds have bled into almost every area of philosophy. In the metaphysics of modality, for example, philosophers have used possible worlds almost exclusively to illuminate discourse about metaphysical necessity and possibility.
Craig Warmke
openaire   +2 more sources

Semantics Disentangling for Cross-Modal Retrieval

IEEE Transactions on Image Processing
Cross-modal retrieval (e.g., query a given image to obtain a semantically similar sentence, and vice versa) is an important but challenging task, as the heterogeneous gap and inconsistent distributions exist between different modalities. The dominant approaches struggle to bridge the heterogeneity by capturing the common representations among ...
Zheng Wang, Xing Xu, Jiwei Wei, Ning Xie, Yang Yang, Heng Tao Shen   +5 more
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Ontology-free modal semantics

Journal of Philosophical Logic, 1996
Believing that modal semantics should be done without ontological assumptions made by possible-worlds semantics the author reproduces Christopher Menzel's model-theoretical semantics for modal languages which works without assuming ``possibilia'', and builds up a more extensionalist ``ontology-free'' modification of it.
G. Ray
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Semantics-Aware Spatial-Temporal Binaries for Cross-Modal Video Retrieval

IEEE Transactions on Image Processing, 2021
With the current exponential growth of video-based social networks, video retrieval using natural language is receiving ever-increasing attention.
Mengshi Qi, Jie Qin, Yi Yang, Yunhong Wang, Jiebo Luo   +4 more
semanticscholar   +1 more source

SPHINX: The Joint Mixing of Weights, Tasks, and Visual Embeddings for Multi-modal Large Language Models

arXiv.org, 2023
We present SPHINX, a versatile multi-modal large language model (MLLM) with a joint mixing of model weights, tuning tasks, and visual embeddings. First, for stronger vision-language alignment, we unfreeze the large language model (LLM) during pre ...
Ziyi Lin, Chris Liu, Renrui Zhang, Peng Gao, Longtian Qiu, Han Xiao, Han Qiu, Chen Lin, Wenqi Shao, Keqin Chen, Jiaming Han, Siyuan Huang, Yichi Zhang, Xuming He, Hongsheng Li, Y. Qiao   +15 more
semanticscholar   +1 more source