Food2K: A Large-Scale Food Image Dataset and Progressive Region Enhancement Network

This article reviews the Food2K dataset and the proposed Progressive Region Enhancement Network for large‑scale food image recognition, detailing dataset construction, method design, extensive experiments, ablation studies, visualizations, and future research directions, all validated on the IEEE T‑PAMI 2023 paper.

Computer VisionDatasetFine-Grained Classification

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Food2K: A Large-Scale Food Image Dataset and Progressive Region Enhancement Network

DaTaobao Tech

Oct 17, 2022 · Artificial Intelligence

AI Live Stream: Causal Representation Learning and Real-time Color Enhancement

In this AI Live Stream, two Taobao Technology engineers present how causal representation learning enables unbiased data augmentation and factor‑controllable generation to boost fine‑grained image classification, while also unveiling a real‑time color‑enhancement technique that merges cascaded lookup tables with dynamic neural networks, illustrating modern AI trends and practical deployment strategies.

AI AlgorithmsFine-Grained ClassificationReal-time Processing

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AI Live Stream: Causal Representation Learning and Real-time Color Enhancement

HomeTech

Sep 20, 2022 · Artificial Intelligence

Deep Learning for Image Classification: Classic Networks, Attention Mechanisms, and Their Application to Fine‑Grained Classification and Automotive Series Recognition

This article reviews the evolution of deep‑learning image‑classification networks, surveys attention mechanisms for fine‑grained tasks, describes the CVPR 2022 FGVC9 competition solution using RegNetY and random attention cropping, and discusses its deployment in automotive series recognition along with future challenges.

CVPRComputer VisionDeep Learning

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Deep Learning for Image Classification: Classic Networks, Attention Mechanisms, and Their Application to Fine‑Grained Classification and Automotive Series Recognition

Meituan Technology Team

Jun 3, 2021 · Artificial Intelligence

LargeFineFoodAI Workshop and Challenge at ICCV 2021

At ICCV 2021 in Montreal, the LargeFineFoodAI workshop—co‑organized by Meituan Vision Intelligence Center, the Chinese Academy of Sciences, Beijing Zhiyuan and the University of Barcelona—will showcase state‑of‑the‑art fine‑grained food image research, feature invited speakers Jain, Aizawa and Radeva, and host a $12,000 prize challenge on Food2K across recognition and retrieval tracks.

ChallengeComputer VisionDataset

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LargeFineFoodAI Workshop and Challenge at ICCV 2021