Masked Vision-Language Transformer in Fashion
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Abstract (arXiv)
We present a masked vision-language transformer (MVLT) for fashion-specific multi-modal representation. Technically, we simply utilize vision transformer architecture for replacing the BERT in the pre-training model, making MVLT the first end-to-end framework for the fashion domain. Besides, we designed masked image reconstruction (MIR) for a fine-grained understanding of fashion. MVLT is an extensible and convenient architecture that admits raw multi-modal inputs without extra pre-processing models (e.g., ResNet), implicitly modeling the vision-language alignments. More importantly, MVLT can easily generalize to various matching and generative tasks. Experimental results show obvious improvements in retrieval (rank@5: 17%) and recognition (accuracy: 3%) tasks over the Fashion-Gen 2018 winner Kaleido-BERT. Code is made available at https://github.com/GewelsJI/MVLT.
Key facts. Cited by 14 papers in the map (data through 7 Oct 2026). Builds on 44 of its 61 references that are in the map. First posted on arXiv 27 Oct 2022.
Builds on
44 of 61 references.
References · 44
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32 more
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Citing papers per year: 2022: 1; 2023: 8; 2024: 4; 2025: 1.
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- 2023Instruct-ReID: A Multi-purpose Person Re-identification Task with Instructions13 Jun 2023
- 2023Advances in Deep Concealed Scene Understanding21 Apr 2023
- 2023MDTv2: Masked Diffusion Transformer is a Strong Image Synthesizer25 Mar 2023
- 2023FAME-ViL: Multi-Tasking Vision-Language Model for Heterogeneous Fashion Tasks4 Mar 2023
- 2025Instruction-Aligned Visual Attention for Mitigating Hallucinations in Large Vision-Language Models24 Mar 2025
- 2024FashionFAE: Fine-grained Attributes Enhanced Fashion Vision-Language Pre-training28 Dec 2024
- 2023FAME-ViL: Multi-Tasking Vision-Language Model for Heterogeneous Fashion Tasks4 Mar 2023
- 2023Point Cloud Pre-training with Diffusion Modelscited by 47
- 2024Text-driven Human Motion Generation with Motion Masked Diffusion Modelcited by 8
- 2024Text-driven Human Motion Generation with Motion Masked Diffusion Model29 Sep 2024
- 2023Point Cloud Pre-training with Diffusion Models25 Nov 2023
- 2024S-Agents: Self-organizing Agents in Open-ended Environmentscited by 22
- 2023PhotoMaker: Customizing Realistic Human Photos via Stacked ID Embeddingcited by 324
- 2022BEVBert: Multimodal Map Pre-training for Language-guided Navigationcited by 117
- 2023TALL: Thumbnail Layout for Deepfake Video Detectioncited by 100
- 2023Advances in Deep Concealed Scene Understandingcited by 47
- 2023Instruct-ReID: A Multi-purpose Person Re-identification Task with Instructionscited by 46
- 2024GeoMFormer: A General Architecture for Geometric Molecular Representation Learningcited by 6
- 2023QR-CLIP: Introducing Explicit Open-World Knowledge for Location and Time Reasoningcited by 0
- 2024GeoMFormer: A General Architecture for Geometric Molecular Representation Learning24 Jun 2024
- 2023PhotoMaker: Customizing Realistic Human Photos via Stacked ID Embedding7 Dec 2023
- 2023TALL: Thumbnail Layout for Deepfake Video Detection14 Jul 2023
- 2023Instruct-ReID: A Multi-purpose Person Re-identification Task with Instructions13 Jun 2023
- 2023Advances in Deep Concealed Scene Understanding21 Apr 2023
- 2023QR-CLIP: Introducing Explicit Open-World Knowledge for Location and Time Reasoning2 Feb 2023
- 2022BEVBert: Multimodal Map Pre-training for Language-guided Navigation8 Dec 2022