https://github.com/sunghoon031/AlignmentScores
공식 코드Alignment Scores: Robust Metrics for Multiview Pose Accuracy Evaluation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Alignment Scores: Robust Metrics for Multiview Pose Accuracy Evaluation
Indoor Panorama Planar 3D Reconstruction via Divide and Conquer
Deep Translation Prior: Test-time Training for Photorealistic Style Transfer
Multilingual Translation via Grafting Pre-trained Language Models
A comparison of translation performance between DeepL and Supertext
Low Resource Neural Machine Translation: A Benchmark for Five African Languages
Adapting Multilingual Neural Machine Translation to Unseen Languages
A Multi-way Parallel Named Entity Annotated Corpus for English, Tamil and Sinhala
Edit Distances and Their Applications to Downstream Tasks in Research and Commercial Contexts
What do Large Language Models Need for Machine Translation Evaluation?
PLOD: An Abbreviation Detection Dataset for Scientific Documents
Multi-Stream Keypoint Attention Network for Sign Language Recognition and Translation
Dual Diffusion Implicit Bridges for Image-to-Image Translation
Anti-LM Decoding for Zero-shot In-context Machine Translation
Marathi To English Neural Machine Translation With Near Perfect Corpus And Transformers
Locality-constrained Spatial Transformer Network for Video Crowd Counting
Fine-Tuning LLMs for Low-Resource Dialect Translation: The Case of Lebanese
Product-oriented Machine Translation with Cross-modal Cross-lingual Pre-training
Learning to Select Bi-Aspect Information for Document-Scale Text Content Manipulation
Knowing More About Questions Can Help: Improving Calibration in Question Answering
Contrastive Learning for Unpaired Image-to-Image Translation
Neural Syntactic Preordering for Controlled Paraphrase Generation
Spatially-Adaptive Pixelwise Networks for Fast Image Translation
Anime-to-Real Clothing: Cosplay Costume Generation via Image-to-Image Translation
An Evaluation of Neural Machine Translation Models on Historical Spelling Normalization
Neuron Linear Transformation: Modeling the Domain Shift for Crowd Counting
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.