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Benchmarking

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

https://github.com/jiaweilian/padetbench

공식 코드

PADetBench: Towards Benchmarking Physical Attacks against Object Detection

https://github.com/jiehonglin/vi-net

공식 코드

VI-Net: Boosting Category-level 6D Object Pose Estimation via Learning Decoupled Rotations on the Spherical Representations

https://github.com/jimmylihui/OpenGenome

공식 코드

GenBench: A Benchmarking Suite for Systematic Evaluation of Genomic Foundation Models

https://github.com/jind11/HSLN-Joint-Sentence-Classification

공식 코드

Hierarchical Neural Networks for Sequential Sentence Classification in Medical Scientific Abstracts

https://github.com/jing-ds/hnn_gad

공식 코드

Three Revisits to Node-Level Graph Anomaly Detection: Outliers, Message Passing and Hyperbolic Neural Networks

https://github.com/jingcheng-du/ML_Net-1

공식 코드

ML-Net: multi-label classification of biomedical texts with deep neural networks

https://github.com/jingkang50/openood

공식 코드

OpenOOD: Benchmarking Generalized Out-of-Distribution Detection

https://github.com/jingwu6/extended-agriculture-vision-dataset

공식 코드

Extended Agriculture-Vision: An Extension of a Large Aerial Image Dataset for Agricultural Pattern Analysis

https://github.com/jingyi0000/vlm_survey

공식 코드

Vision-Language Models for Vision Tasks: A Survey

https://github.com/jinzhuoran/rag-rewardbench

공식 코드

RAG-RewardBench: Benchmarking Reward Models in Retrieval Augmented Generation for Preference Alignment

https://github.com/jinzhuoran/rwku

공식 코드

RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models

https://github.com/jitinkrishnan/transliteration-hindi-malayalam

공식 코드

Cross-Lingual Text Classification of Transliterated Hindi and Malayalam

https://github.com/jlianglab/benchmarktransferlearning

공식 코드

A Systematic Benchmarking Analysis of Transfer Learning for Medical Image Analysis

https://github.com/jmhb0/microvqa

공식 코드

MicroVQA: A Multimodal Reasoning Benchmark for Microscopy-Based Scientific Research

https://github.com/jmiramont/mcsm-benchs

공식 코드

Benchmarking multi-component signal processing methods in the time-frequency plane

https://github.com/jo-wang/otta_vit_survey

공식 코드

In Search of Lost Online Test-time Adaptation: A Survey

https://github.com/job-sdf/benchmark

공식 코드

Job-SDF: A Multi-Granularity Dataset for Job Skill Demand Forecasting and Benchmarking

https://github.com/joeleelyf/ovo-bench

공식 코드

OVO-Bench: How Far is Your Video-LLMs from Real-World Online Video Understanding?

https://github.com/joeying1019/ultratool

공식 코드

Planning, Creation, Usage: Benchmarking LLMs for Comprehensive Tool Utilization in Real-World Complex Scenarios

https://github.com/joez17/videoniah

공식 코드

Needle In A Video Haystack: A Scalable Synthetic Evaluator for Video MLLMs

https://github.com/johndmendonca/maia-dqe

공식 코드

Dialogue Quality and Emotion Annotations for Customer Support Conversations

https://github.com/johndmendonca/medal

공식 코드

MEDAL: A Framework for Benchmarking LLMs as Multilingual Open-Domain Chatbots and Dialogue Evaluators

https://github.com/jokersio-tsy/autot2t

공식 코드

Automated Text-to-Table for Reasoning-Intensive Table QA: Pipeline Design and Benchmarking Insights

https://github.com/jonasschmidinger/limesoda_benchmarking

공식 코드

LimeSoDa: A Dataset Collection for Benchmarking of Machine Learning Regressors in Digital Soil Mapping

https://github.com/jonasschmidinger/limesoda_literature.review

공식 코드

LimeSoDa: A Dataset Collection for Benchmarking of Machine Learning Regressors in Digital Soil Mapping

https://github.com/jonatasbcchagas/aco_thop

공식 코드

Ants can orienteer a thief in their robbery

https://github.com/jonatasbcchagas/acoplusplus_thop

공식 코드

Efficiently solving the thief orienteering problem with a max-min ant colony optimization approach

https://github.com/jonathan-roberts1/SciFIBench

공식 코드

SciFIBench: Benchmarking Large Multimodal Models for Scientific Figure Interpretation

https://github.com/joonaspu/video-game-behavioural-cloning

공식 코드

Benchmarking End-to-End Behavioural Cloning on Video Games

https://github.com/josemiki/benchmarking_person_re_id

공식 코드

Benchmarking person re-identification datasets and approaches for practical real-world implementations

https://github.com/jovasque156/disparisk

공식 코드

DispaRisk: Auditing Fairness Through Usable Information

https://github.com/joyhsu0504/geoclidean_framework

공식 코드

Geoclidean: Few-Shot Generalization in Euclidean Geometry

https://github.com/jpeg-aic/dataset-jpeg-ai-sdr25

공식 코드

Subjective Visual Quality Assessment for High-Fidelity Learning-Based Image Compression

https://github.com/jpfolch/catechol_solvent_selection

공식 코드

The Catechol Benchmark: Time-series Solvent Selection Data for Few-shot Machine Learning

https://github.com/jpmorganchase/llm-email-spam-detection

공식 코드

Spam-T5: Benchmarking Large Language Models for Few-Shot Email Spam Detection

https://github.com/jppbsi/LibOPT

공식 코드

LibOPT: An Open-Source Platform for Fast Prototyping Soft Optimization Techniques

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