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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/amazon-research/wikiwiki-dataset
공식 코드Instilling Type Knowledge in Language Models via Multi-Task QA
https://github.com/amazon-science/SumREN
공식 코드https://github.com/amazon-science/neoqa
공식 코드NeoQA: Evidence-based Question Answering with Generated News Events
https://github.com/amazon-science/object-centric-multiple-object-tracking
공식 코드https://github.com/amazon-science/prompt-pretraining
공식 코드Prompt Pre-Training with Twenty-Thousand Classes for Open-Vocabulary Visual Recognition
https://github.com/americast/electoral
공식 코드https://github.com/ameroyer/ODGI
공식 코드Localizing Grouped Instances for Efficient Detection in Low-Resource Scenarios
https://github.com/amforever/fmfcc-a
공식 코드FMFCC-A: A Challenging Mandarin Dataset for Synthetic Speech Detection
https://github.com/aminebdj/openyolo3d
공식 코드Open-YOLO 3D: Towards Fast and Accurate Open-Vocabulary 3D Instance Segmentation
https://github.com/amingwu/up-fsod
공식 코드https://github.com/amingwu/vdd-daod
공식 코드Vector-Decomposed Disentanglement for Domain-Invariant Object Detection
https://github.com/amirbar/detreg
공식 코드DETReg: Unsupervised Pretraining with Region Priors for Object Detection
https://github.com/amirbar/visual_prompting
공식 코드https://github.com/amirdahari1/superres
공식 코드Fusion of complementary 2D and 3D mesostructural datasets using generative adversarial networks
https://github.com/amirgholami/ZeroQ
공식 코드https://github.com/amirrezahmi/video-inpainting-and-voice-cloning
공식 코드https://github.com/ammarlodhi255/YOLOv10-Fracture-Detection
공식 코드Pediatric Wrist Fracture Detection in X-rays via YOLOv10 Algorithm and Dual Label Assignment System
https://github.com/ammarlodhi255/pediatric_wrist_abnormality_detection-end-to-end-implementation
공식 코드https://github.com/amr-keleg/aldi
공식 코드https://github.com/amritabh/conda-gen-text-detection
공식 코드ConDA: Contrastive Domain Adaptation for AI-generated Text Detection
https://github.com/amy-choi/AttackDefenseYOLO
공식 코드Adversarial Attack and Defense of YOLO Detectors in Autonomous Driving Scenarios
https://github.com/amy-tabb/CASS
공식 코드Using cameras for precise measurement of two-dimensional plant features: CASS
https://github.com/anaerovane/lrsaa
공식 코드Large-scale Remote Sensing Image Target Recognition and Automatic Annotation
https://github.com/anasbair/SemEval2020-groups
공식 코드DUTH at SemEval-2020 Task 11: BERT with Entity Mapping for Propaganda Classification
https://github.com/anasibrahim/ctl_classification
공식 코드Learning Embeddings with Centroid Triplet Loss for Object Identification in Robotic Grasping
https://github.com/anastasiia-kornilova/MMDF
공식 코드https://github.com/andersxa/cslp-ae
공식 코드https://github.com/andi611/ZeroSpeech-TTS-without-T
공식 코드Unsupervised End-to-End Learning of Discrete Linguistic Units for Voice Conversion
https://github.com/andreaceccarelli/metrics_model
공식 코드Evaluating Object (mis)Detection from a Safety and Reliability Perspective: Discussion and Measures
https://github.com/andrealoddo/blueBackgroundSeedsSegmenter
공식 코드A new automatic approach to seed image analysis: From acquisition to segmentation
https://github.com/andreeaiana/nemig
공식 코드NeMig -- A Bilingual News Collection and Knowledge Graph about Migration
https://github.com/andreluizbvs/PLAD
공식 코드STN PLAD: A Dataset for Multi-Size Power Line Assets Detection in High-Resolution UAV Images
https://github.com/andreluizbvs/insplad
공식 코드InsPLAD: A Dataset and Benchmark for Power Line Asset Inspection in UAV Images
https://github.com/andreped/livermask
공식 코드https://github.com/andrespulido8/sonar_sparse_point_cloud
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.