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Active Speaker Detection

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코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/project-basileus/multitype-sequence-generation-by-tlstm-gan

공식 코드

Generating Multi-type Temporal Sequences to Mitigate Class-imbalanced Problem

https://github.com/pv-lab/zombi

공식 코드

Fast Bayesian Optimization of Needle-in-a-Haystack Problems using Zooming Memory-Based Initialization (ZoMBI)

https://github.com/qci-github/eqc-studies

공식 코드

Financial Fraud Detection with Entropy Computing

https://github.com/qiurunwen/categoryencodercomparison

공식 코드

Comparative Study on the Performance of Categorical Variable Encoders in Classification and Regression Tasks

https://github.com/quicksign/docxpand

공식 코드

DocXPand-25k: a large and diverse benchmark dataset for identity documents analysis

https://github.com/rash1993/movie-asd

공식 코드

Audio-Visual Activity Guided Cross-Modal Identity Association for Active Speaker Detection

https://github.com/ronaldpereira/brasnam-experiments

공식 코드

How effective are Graph Neural Networks in Fraud Detection for Network Data?

https://github.com/safe-graph/DGFraud

공식 코드

Alleviating the Inconsistency Problem of Applying Graph Neural Network to Fraud Detection

https://github.com/safe-graph/RioGNN

공식 코드

Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks

https://github.com/sakanaai/edinet-bench

공식 코드

EDINET-Bench: Evaluating LLMs on Complex Financial Tasks using Japanese Financial Statements

https://github.com/sakanaai/edinet2dataset

공식 코드

EDINET-Bench: Evaluating LLMs on Complex Financial Tasks using Japanese Financial Statements

https://github.com/samanthav24/dsc_fraud_detection

공식 코드

Explainable Fraud Detection with Deep Symbolic Classification

https://github.com/sattarov/FinDiff

공식 코드

FinDiff: Diffusion Models for Financial Tabular Data Generation

https://github.com/seondong/customs-declaration-datasets

공식 코드

Customs Import Declaration Datasets

https://github.com/sjecmen/peer-review-collusion-detection

공식 코드

On the Detection of Reviewer-Author Collusion Rings From Paper Bidding

https://github.com/sjtuwxz/loconet_asd

공식 코드

LoCoNet: Long-Short Context Network for Active Speaker Detection

https://github.com/snap-stanford/bc-emb

공식 코드

Learning Backward Compatible Embeddings

https://github.com/somepago/saint

공식 코드

SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

https://github.com/spring-epfl/transferable-cat-robustness

공식 코드

Transferable Adversarial Robustness for Categorical Data via Universal Robust Embeddings

https://github.com/springwiz11/fed-gnodeformer

공식 코드

Federated Spectral Graph Transformers Meet Neural Ordinary Differential Equations for Non-IID Graphs

https://github.com/sra2/spell

공식 코드

Learning Long-Term Spatial-Temporal Graphs for Active Speaker Detection

https://github.com/sunxkissed/sec-gfd

공식 코드

Revisiting Graph-Based Fraud Detection in Sight of Heterophily and Spectrum

https://github.com/tdlhl/RAGFormer

공식 코드

RAGFormer: Learning Semantic Attributes and Topological Structure for Fraud Detection

https://github.com/tiago-roxo/asdnb

공식 코드

ASDnB: Merging Face with Body Cues For Robust Active Speaker Detection

https://github.com/tiago-roxo/bias

공식 코드

BIAS: A Body-based Interpretable Active Speaker Approach

https://github.com/tiago-roxo/wasd

공식 코드

WASD: A Wilder Active Speaker Detection Dataset

https://github.com/tigerchen52/pub_guard_llm

공식 코드

Pub-Guard-LLM: Detecting Fraudulent Biomedical Articles with Reliable Explanations

https://github.com/tony10101105/locally-interpretable-one-class-anomaly-detection-for-credit-card-fraud-detection

공식 코드

Locally Interpretable One-Class Anomaly Detection for Credit Card Fraud Detection

https://github.com/usc-fortis/ad-agent

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AD-AGENT: A Multi-agent Framework for End-to-end Anomaly Detection

https://github.com/usc-fortis/ad-llm

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AD-LLM: Benchmarking Large Language Models for Anomaly Detection

https://github.com/usc-fortis/nlp-adbench

공식 코드

NLP-ADBench: NLP Anomaly Detection Benchmark

https://github.com/wangskyGit/KeHGN-R

공식 코드

Corporate Fraud Detection in Rich-yet-Noisy Financial Graph

https://github.com/wenliangdai/multi-task-offensive-language-detection

공식 코드

Text generation for dataset augmentation in security classification tasks

https://github.com/wulongfeng/calirare

공식 코드

Towards Reliable Rare Category Analysis on Graphs via Individual Calibration

https://github.com/wwoods/adversarial-explanations-cifar

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Adversarial Explanations for Understanding Image Classification Decisions and Improved Neural Network Robustness

https://github.com/xbfu/fedspray

공식 코드

Federated Graph Learning with Structure Proxy Alignment

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