2D Classification
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/strong-ai-lab/counterfactual-llm-inference
공식 코드Counterfactual Causal Inference in Natural Language with Large Language Models
https://github.com/strongwolf/dw
공식 코드A Dual Weighting Label Assignment Scheme for Object Detection
https://github.com/sty61010/crossdtr
공식 코드CrossDTR: Cross-view and Depth-guided Transformers for 3D Object Detection
https://github.com/subeeshvasu/Awesome-Deblurring
공식 코드Blind Image Deblurring with Unknown Kernel Size and Substantial Noise
https://github.com/subhendukhatuya/FLAN-FinBPS
공식 코드Instruction-Guided Bullet Point Summarization of Long Financial Earnings Call Transcripts
https://github.com/submissionemnlp/llm_propaganda_detection
공식 코드https://github.com/sudo-Boris/mr-Blip
공식 코드The Surprising Effectiveness of Multimodal Large Language Models for Video Moment Retrieval
https://github.com/sufianj/def_extraction
공식 코드Extracting Definienda in Mathematical Scholarly Articles with Transformers
https://github.com/suhaisheng/robosense
공식 코드https://github.com/suhitaghosh10/ddsp-qbe
공식 코드Anonymising Elderly and Pathological Speech: Voice Conversion Using DDSP and Query-by-Example
https://github.com/suhitaghosh10/emo-stargan
공식 코드Emo-StarGAN: A Semi-Supervised Any-to-Many Non-Parallel Emotion-Preserving Voice Conversion
https://github.com/sullichrosu/njobvu-ai
공식 코드https://github.com/sumanyumuku98/contextual-bias
공식 코드Does Data Repair Lead to Fair Models? Curating Contextually Fair Data To Reduce Model Bias
https://github.com/sumitsk/algp
공식 코드Active Learning with Gaussian Processes for High Throughput Phenotyping
https://github.com/summmeer/session-based-news-recommendation
공식 코드Positive, Negative and Neutral: Modeling Implicit Feedback in Session-based News Recommendation
https://github.com/sumuzhao/CycleGAN-Music-Style-Transfer
공식 코드https://github.com/sunanhe/mkt
공식 코드Open-Vocabulary Multi-Label Classification via Multi-Modal Knowledge Transfer
https://github.com/sundeco/padis
공식 코드Learning Image Priors through Patch-based Diffusion Models for Solving Inverse Problems
https://github.com/sunh1113/efficient-backdoor-attacks-for-deep-neural-networks-in-real-world-scenarios
공식 코드Efficient Backdoor Attacks for Deep Neural Networks in Real-world Scenarios
https://github.com/sunh18/monosim
공식 코드https://github.com/sunjiahao1999/spformer
공식 코드https://github.com/sunniesuhyoung/DST
공식 코드https://github.com/sunpeng1996/DSA2F
공식 코드Deep RGB-D Saliency Detection with Depth-Sensitive Attention and Automatic Multi-Modal Fusion
https://github.com/sunshangquan/EnsIR
공식 코드EnsIR: An Ensemble Algorithm for Image Restoration via Gaussian Mixture Models
https://github.com/sunshenggu/xc_eval_pcdet
공식 코드XC: Exploring Quantitative Use Cases for Explanations in 3D Object Detection
https://github.com/sunshower76/deep_trainslation_prior
공식 코드Deep Translation Prior: Test-time Training for Photorealistic Style Transfer
https://github.com/sunsmarterjie/SDL-Skeleton
공식 코드https://github.com/sunsmarterjie/itpn
공식 코드Fast-iTPN: Integrally Pre-Trained Transformer Pyramid Network with Token Migration
https://github.com/suojiashun/hit-uav-infrared-thermal-dataset
공식 코드HIT-UAV: A high-altitude infrared thermal dataset for Unmanned Aerial Vehicle-based object detection
https://github.com/superlc1995/diffusion-cell
공식 코드https://github.com/supermhp/gupnet
공식 코드Geometry Uncertainty Projection Network for Monocular 3D Object Detection
https://github.com/supermhp/gupnet_plus
공식 코드GUPNet++: Geometry Uncertainty Propagation Network for Monocular 3D Object Detection
https://github.com/supernlogn/squeezeDetTL
공식 코드A Framework of Transfer Learning in Object Detection for Embedded Systems
https://github.com/superrrpotato/Defending-Neural-Backdoors-via-Generative-Distribution-Modeling
공식 코드Defending Neural Backdoors via Generative Distribution Modeling
https://github.com/superstar1225/DensePose_from_WiFi
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.