https://github.com/i-am-tobi/Capsule_Vision_Challenge_2024
공식 코드Capsule Vision 2024 Challenge: Multi-Class Abnormality Classification for Video Capsule Endoscopy
Papers with Code 아카이브
Benchmarking
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/i-vesseg/multivesseg
공식 코드https://github.com/i207m/pinnacle
공식 코드PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs
https://github.com/iMED-Lab/OCTA-Net-OCTA-Vessel-Segmentation-Network
공식 코드https://github.com/iToBoS/Lesion-Detection-Challange
공식 코드The iToBoS dataset: skin region images extracted from 3D total body photographs for lesion detection
https://github.com/ia-gu/benchmarking-of-query-strategies-towards-future-deep-active-learning
공식 코드Benchmarking of Query Strategies: Towards Future Deep Active Learning
https://github.com/iaar-shanghai/saferag
공식 코드SafeRAG: Benchmarking Security in Retrieval-Augmented Generation of Large Language Model
https://github.com/iambic-therapeutics/np-bench
공식 코드NeuralPLexer3: Accurate Biomolecular Complex Structure Prediction with Flow Models
https://github.com/ibm/adversarial-prompt-evaluation
공식 코드https://github.com/ibm/api-blend
공식 코드API-BLEND: A Comprehensive Corpora for Training and Benchmarking API LLMs
https://github.com/ibm/assetopsbench
공식 코드https://github.com/ibm/failuresensoriq
공식 코드FailureSensorIQ: A Multi-Choice QA Dataset for Understanding Sensor Relationships and Failure Modes
https://github.com/ibm/swatgym
공식 코드A SWAT-based Reinforcement Learning Framework for Crop Management
https://github.com/ict-bigdatalab/rc-rag
공식 코드Controlling Risk of Retrieval-augmented Generation: A Counterfactual Prompting Framework
https://github.com/ict-bigdatalab/utility_judgments
공식 코드https://github.com/icu-sepsis/icu-sepsis
공식 코드https://github.com/idea-iitd/gnnmerge
공식 코드GNNMerge: Merging of GNN Models Without Accessing Training Data
https://github.com/idea-iitd/mirage
공식 코드Mirage: Model-Agnostic Graph Distillation for Graph Classification
https://github.com/idekerlab/llm_evaluation_for_gene_set_interpretation
공식 코드Evaluation of large language models for discovery of gene set function
https://github.com/idiap/sdialog
공식 코드SDialog: A Python Toolkit for Synthetic Dialogue Generation and Analysis
https://github.com/idogalil/benchmarking-uncertainty-estimation-performance
공식 코드https://github.com/idt-iti/xai-video-summaries
공식 코드An Integrated Framework for Multi-Granular Explanation of Video Summarization
https://github.com/igor-morawski/raw-nod
공식 코드https://github.com/iinemo/lm-polygraph
공식 코드Benchmarking Uncertainty Quantification Methods for Large Language Models with LM-Polygraph
https://github.com/iis-esslingen/vi-slam_lc_benchmark
공식 코드https://github.com/iiscleap/Audio-LLM-benchmarking-uncertainty
공식 코드Benchmarking and Confidence Evaluation of LALMs For Temporal Reasoning
https://github.com/ikeyang/ditu-net
공식 코드https://github.com/ikeyang/stu-net
공식 코드https://github.com/illaitar/based
공식 코드BASED: Benchmarking, Analysis, and Structural Estimation of Deblurring
https://github.com/ilyatyagin/dyport
공식 코드Dyport: Dynamic Importance-based Hypothesis Generation Benchmarking Technique
https://github.com/imatif17/acia
공식 코드Attention-based Class-Conditioned Alignment for Multi-Source Domain Adaptation of Object Detectors
https://github.com/imeanai/webcanvas
공식 코드https://github.com/imics-lab/positional-encoding-benchmark
공식 코드Positional Encoding in Transformer-Based Time Series Models: A Survey
https://github.com/iml-dkfz/fd-shifts
공식 코드A Call to Reflect on Evaluation Practices for Failure Detection in Image Classification
https://github.com/imnearth/autojudger
공식 코드AutoJudger: An Agent-Driven Framework for Efficient Benchmarking of MLLMs
https://github.com/impresso/paraphrasus
공식 코드PARAPHRASUS : A Comprehensive Benchmark for Evaluating Paraphrase Detection Models
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.