multi-label classification

Zhihu Tech Column

Oct 10, 2024 · Artificial Intelligence

Massive Multi-Label Text Classification via Semantic Retrieval and Large AI Model

This article presents a method for massive multi-label text classification on Zhihu content by combining a semantic retrieval model with a proprietary large AI model, detailing the challenges of large label spaces, model architecture, loss optimization, and experimental results showing significant accuracy gains.

BGEZhihularge language model

0 likes · 16 min read

Massive Multi-Label Text Classification via Semantic Retrieval and Large AI Model

58 Tech

Jun 9, 2022 · Artificial Intelligence

Multi‑Label Image Recognition for 58.com: Algorithm Design, Data Construction, and Model Optimization

This article presents a comprehensive study of multi‑label image recognition applied to 58.com’s business scenarios, covering problem motivation, dataset construction, evaluation metrics, mainstream deep‑learning methods, an asymmetric‑loss‑based optimization pipeline, and practical output schemes for recommendation and retrieval.

Deep Learningasymmetric losscomputer vision

0 likes · 17 min read

Multi‑Label Image Recognition for 58.com: Algorithm Design, Data Construction, and Model Optimization

58 Tech

May 24, 2021 · Artificial Intelligence

Tag Extraction for 58 Yellow Pages Posts Using Sequence Labeling and Model Optimization

This article describes a complete solution for extracting and normalizing tags from 58 Yellow Pages service posts, covering candidate word acquisition, sequence‑labeling models such as CRF and BERT‑CRF, hierarchical softmax optimization for massive label spaces, and experimental results on both post content and user reviews.

BERTCRFhierarchical softmax

0 likes · 20 min read

Tag Extraction for 58 Yellow Pages Posts Using Sequence Labeling and Model Optimization

DataFunTalk

Dec 9, 2020 · Artificial Intelligence

WeChat Identify: From Object Detection to Large‑Scale Image Search – Technical Overview

This article details the evolution of WeChat’s Identify product, explaining its end‑to‑end image recognition pipeline—including object detection, multi‑label classification, mobile‑side detection, large‑scale retrieval, unsupervised clustering, and system architecture—while showcasing various application scenarios such as product, plant, and landmark recognition.

Image RecognitionWeChatcomputer vision

0 likes · 12 min read

WeChat Identify: From Object Detection to Large‑Scale Image Search – Technical Overview

DataFunTalk

Nov 22, 2020 · Artificial Intelligence

Short Video Analysis in Local Life Scenarios: Techniques and Practices at Meituan

This article presents Meituan's AI-driven short video analysis workflow, covering industry trends, multi‑label video classification, intelligent cover selection, and video generation techniques, while discussing challenges, model building, label expansion, continuous data iteration, and future outlook for video AI in local services.

AIMeituancomputer vision

0 likes · 16 min read

Short Video Analysis in Local Life Scenarios: Techniques and Practices at Meituan

HomeTech

Mar 4, 2020 · Artificial Intelligence

Video Multi-Label Classification Using Graph Convolutional Networks

This paper introduces a method for video multi-label classification that incorporates label correlation features using graph convolutional networks, significantly improving classification performance.

Deep LearningGCNInceptionV3

0 likes · 7 min read

Video Multi-Label Classification Using Graph Convolutional Networks

Amap Tech

Aug 27, 2019 · Artificial Intelligence

POI Category Tagging: Multi‑Label Classification, Feature Engineering and Model Design

The system tackles POI category tagging as a multi‑label classification problem by engineering textual and non‑textual features, mining click‑log and external samples through active learning, and deploying hierarchical and per‑tag deep textCNN models with feature fusion, achieving over 5 % accuracy gain, ten‑fold speedup, and markedly higher precision and coverage that boost map‑search relevance.

POI taggingSearch RelevanceTextCNN

0 likes · 19 min read

POI Category Tagging: Multi‑Label Classification, Feature Engineering and Model Design

Youku Technology

Aug 12, 2019 · Artificial Intelligence

Interpretation of the Paper “Multi-View Multi-Label Learning with View‑Specific Information Extraction” (SIMM)

The article explains SIMM, a neural‑network framework for multi‑view multi‑label learning that jointly extracts a shared, view‑invariant subspace via adversarial loss and orthogonal view‑specific features, demonstrating superior performance across eight benchmark datasets compared to existing MVML and ML‑kNN methods.

AIadversarial learningmachine learning

0 likes · 11 min read

Interpretation of the Paper “Multi-View Multi-Label Learning with View‑Specific Information Extraction” (SIMM)

Meitu Technology

Aug 30, 2018 · Artificial Intelligence

Meitu Introduces a Multi‑Label Short‑Video Classification Dataset for the 2018 AI Challenger

In the 2018 AI Challenger, Meitu co‑organized a new “Real‑Time Short‑Video Classification” track and released the industry’s first multi‑label short‑video dataset of 200,000 mobile‑captured, vertically oriented videos spanning 63 categories and detailed tags for subjects, scenes, actions, and other dimensions, advancing video semantic understanding and AI research.

AI challengeMeitucomputer vision

0 likes · 5 min read

Meitu Introduces a Multi‑Label Short‑Video Classification Dataset for the 2018 AI Challenger