Nov 17, 2022 · Artificial Intelligence

Overview of Recent Meituan Visual Intelligence Research Papers on Content Production, Distribution, and Model Quantization

Meituan’s Visual Intelligence team recently published eight top‑conference papers that advance weakly supervised segmentation, future‑aware captioning, panoptic narrative grounding, video‑text retrieval, open‑vocabulary detection, counterfactual image‑text matching, zero‑shot video classification, and efficient Vision‑Transformer quantization, all directly boosting real‑world content creation, distribution, and model efficiency.

AI researchImage CaptioningModel Quantization

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Overview of Recent Meituan Visual Intelligence Research Papers on Content Production, Distribution, and Model Quantization

Kuaishou Tech

Oct 20, 2021 · Artificial Intelligence

HiT: Hierarchical Transformer with Momentum Contrast for Video-Text Retrieval

This paper proposes HiT, a hierarchical transformer model with momentum contrast for video-text retrieval, addressing limitations in existing multimodal learning methods by introducing hierarchical cross-modal contrast matching and momentum cross-modal contrast to improve retrieval performance.

HCMMCCMoCo

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HiT: Hierarchical Transformer with Momentum Contrast for Video-Text Retrieval