Papers with Code 아카이브
2D Classification
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 27
- 평가표
- 0
- 보존된 평가 기록
- 0
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/arm-software/ml-restructurable-activation-networks
공식 코드https://github.com/arman-sakif/bengali-fake-news-detection
공식 코드https://github.com/arminmasoumian/gcndepth
공식 코드https://github.com/arnab39/Semi-supervised-segmentation-cycleGAN
공식 코드https://github.com/arnabdas8901/StarGAN-VC_PlusPlus
공식 코드StarGAN-VC++: Towards Emotion Preserving Voice Conversion Using Deep Embeddings
https://github.com/arojsubedi/cct20_processed_dataset
공식 코드Improving Generalization Performance of YOLOv8 for Camera Trap Object Detection
https://github.com/arojsubedi/improved-yolov8s
공식 코드Improving Generalization Performance of YOLOv8 for Camera Trap Object Detection
https://github.com/arpitbansal297/universal-guided-diffusion
공식 코드https://github.com/arsena-k/Word2Vec-bias-extraction
공식 코드Machine learning as a model for cultural learning: Teaching an algorithm what it means to be fat
https://github.com/artiprocher/sd-webui-fastblend
공식 코드FastBlend: a Powerful Model-Free Toolkit Making Video Stylization Easier
https://github.com/arturjordao/WearableSensorData
공식 코드Human Activity Recognition Based on Wearable Sensor Data: A Standardization of the State-of-the-Art
https://github.com/arxivbenchllm/arxivbench
공식 코드ArxivBench: Can LLMs Assist Researchers in Conducting Research?
https://github.com/aryan-satpathy/backdoor
공식 코드Towards Adversarial Robustness And Backdoor Mitigation in SSL
https://github.com/aryanshar/swarm-detection
공식 코드Lightweight Multi-Drone Detection and 3D-Localization via YOLO
https://github.com/asaakyan/covidfact
공식 코드COVID-Fact: Fact Extraction and Verification of Real-World Claims on COVID-19 Pandemic
https://github.com/asaakyan/explain-st
공식 코드ICLEF: In-Context Learning with Expert Feedback for Explainable Style Transfer
https://github.com/asahi417/tner
공식 코드Named Entity Recognition in Twitter: A Dataset and Analysis on Short-Term Temporal Shifts
https://github.com/asbroad/geom_rcnn
공식 코드Geometry-Based Region Proposals for Real-Time Robot Detection of Tabletop Objects
https://github.com/aschern/semeval2020_task11
공식 코드aschern at SemEval-2020 Task 11: It Takes Three to Tango: RoBERTa, CRF, and Transfer Learning
https://github.com/ase-decom/ase22_decom
공식 코드https://github.com/ase2023paper/fmt
공식 코드https://github.com/asharakeh/bayes-od-rc
공식 코드BayesOD: A Bayesian Approach for Uncertainty Estimation in Deep Object Detectors
https://github.com/asharakeh/pod_compare
공식 코드A Review and Comparative Study on Probabilistic Object Detection in Autonomous Driving
https://github.com/asharakeh/probdet
공식 코드Estimating and Evaluating Regression Predictive Uncertainty in Deep Object Detectors
https://github.com/ashep29/confluence
공식 코드Confluence: A Robust Non-IoU Alternative to Non-Maxima Suppression in Object Detection
https://github.com/ashishkumar822/cred-detr
공식 코드Cross Resolution Encoding-Decoding For Detection Transformers
https://github.com/ashkanpakzad/atn
공식 코드https://github.com/ashu1069/perceptual-piercing
공식 코드Perceptual Piercing: Human Visual Cue-based Object Detection in Low Visibility Conditions
https://github.com/asif-hanif/baple
공식 코드BAPLe: Backdoor Attacks on Medical Foundational Models using Prompt Learning
https://github.com/asindel/artfacepoints
공식 코드ArtFacePoints: High-resolution Facial Landmark Detection in Paintings and Prints
https://github.com/askerlee/lapstyle
공식 코드https://github.com/asmath472/lacd-public
공식 코드https://github.com/asra-aslam/unseennet
공식 코드https://github.com/asrafulashiq/transfer_broad
공식 코드A Broad Study on the Transferability of Visual Representations with Contrastive Learning
https://github.com/ast-fortiss-tum/perturbation-drive
공식 코드Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.