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VLMEvalKit: An Open-Source ToolKit for Evaluating Large Multi-Modality Models
ACM MultimediaWe present VLMEvalKit: an open-source toolkit for evaluating large multi-modality models based on PyTorch. The toolkit aims to provide a user-friendly and comprehensive framework for researchers and developers to evaluate existing multi-modality models ...
Haodong Duan +11 more
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Cross-Modality Person Re-Identification via Modality Confusion and Center Aggregation
IEEE International Conference on Computer Vision, 2021Cross-modality person re-identification is a challenging task due to large cross-modality discrepancy and intramodality variations. Currently, most existing methods focus on learning modality-specific or modality-shareable features by using the identity ...
Xin Hao +3 more
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Modal Scepticism, Unqualified Modality, and Modal Kinds
Philosophia, 2011I formulate and defend two sceptical theses on specific parts of our modal knowledge (unqualified and absolute modalities). My main point is that unqualified modal sentences are defective in that they fail to belong unambiguously to specific modal kinds and thus cannot be evaluated; hence, we must be sceptical of beliefs involving them.
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Syncretic Modality Collaborative Learning for Visible Infrared Person Re-Identification
IEEE International Conference on Computer Vision, 2021Visible infrared person re-identification (VI-REID) aims to match pedestrian images between the daytime visible and nighttime infrared camera views. The large cross-modality discrepancies have become the bottleneck which limits the performance of VI-REID.
Ziyu Wei, Xi Yang, N. Wang, Xinbo Gao
semanticscholar +1 more source
2001
This is an advanced 2001 textbook on modal logic, a field which caught the attention of computer scientists in the late 1970s. Researchers in areas ranging from economics to computational linguistics have since realised its worth. The book is for novices and for more experienced readers, with two distinct tracks clearly signposted at the start of each ...
Blackburn, P., de Rijke, M., Venema, Y.
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This is an advanced 2001 textbook on modal logic, a field which caught the attention of computer scientists in the late 1970s. Researchers in areas ranging from economics to computational linguistics have since realised its worth. The book is for novices and for more experienced readers, with two distinct tracks clearly signposted at the start of each ...
Blackburn, P., de Rijke, M., Venema, Y.
openaire +4 more sources
Towards a Unified Middle Modality Learning for Visible-Infrared Person Re-Identification
ACM Multimedia, 2021Visible-infrared person re-identification (VI-ReID) aims to search identities of pedestrians across different spectra. In this task, one of the major challenges is the modality discrepancy between the visible (VIS) and infrared (IR) images. Some state-of-
Yukang Zhang +3 more
semanticscholar +1 more source
Modality Matches Modality: Pretraining Modality-Disentangled Item Representations for Recommendation
The Web Conference, 2022Recent works have shown the effectiveness of incorporating textual and visual information to tackle the sparsity problem in recommendation scenarios. To fuse these useful heterogeneous modality information, an essential prerequisite is to align these ...
Teng-Yue Han +3 more
semanticscholar +1 more source
Journal of Philosophy, 1986
AbstractIn the first part of this chapter, I sketch out three grades of modal realism. After developing modal realism, I examine David Lewis's modal theory. I argue that Lewis's theory satisfies none of the grades of modal realism, and that it is really a case of modal reductionism. In particular, I demonstrate that Counterpart Theory is a rejection of
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AbstractIn the first part of this chapter, I sketch out three grades of modal realism. After developing modal realism, I examine David Lewis's modal theory. I argue that Lewis's theory satisfies none of the grades of modal realism, and that it is really a case of modal reductionism. In particular, I demonstrate that Counterpart Theory is a rejection of
openaire +3 more sources
Learning Modality-Specific Representations for Visible-Infrared Person Re-Identification
IEEE Transactions on Image Processing, 2020Traditional person re-identification (re-id) methods perform poorly under changing illuminations. This situation can be addressed by using dual-cameras that capture visible images in a bright environment and infrared images in a dark environment.
Zhanxiang Feng, J. Lai, Xiaohua Xie
semanticscholar +1 more source