https://github.com/Lausannen/NAS-FCOS
공식 코드NAS-FCOS: Efficient Search for Object Detection Architectures
Papers with Code 아카이브
2D Classification
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/Layjins/FewShotLearning-tSF
공식 코드tSF: Transformer-based Semantic Filter for Few-Shot Learning
https://github.com/LayneH/LEWEL
공식 코드Learning Where to Learn in Cross-View Self-Supervised Learning
https://github.com/LeapLabTHU/ARC
공식 코드https://github.com/LearnTikhonov/Code
공식 코드Learning the optimal Tikhonov regularizer for inverse problems
https://github.com/Ledengary/COPER
공식 코드COPER: a Query-adaptable Semantics-based Search Engine for Persian COVID-19 Articles
https://github.com/Ledengary/PGST
공식 코드https://github.com/Leedeng/Line-Counter
공식 코드LineCounter: Learning Handwritten Text Line Segmentation by Counting
https://github.com/LeoLaugier/conditional-auto-encoder-text-to-text-transfer-transformer
공식 코드Civil Rephrases Of Toxic Texts With Self-Supervised Transformers
https://github.com/LetterLiGo/SafeEar
공식 코드SafeEar: Content Privacy-Preserving Audio Deepfake Detection
https://github.com/LiRem101/playing-with-voices
공식 코드Playing with Voices: Tabletop Role-Playing Game Recordings as a Diarization Challenge
https://github.com/LiWentomng/OrientedRepPoints
공식 코드https://github.com/LiYingwei/Regional-Homogeneity
공식 코드https://github.com/LiYinqi/DIVE
공식 코드DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks
https://github.com/Liangbo-Cheng/mamba_capsule
공식 코드Mamba Capsule Routing Towards Part-Whole Relational Camouflaged Object Detection
https://github.com/LilianHollard/LeYOLO
공식 코드LeYOLO, New Scalable and Efficient CNN Architecture for Object Detection
https://github.com/LinYark/Sdirt
공식 코드Simulating Dual-Pixel Images From Ray Tracing For Depth Estimation
https://github.com/LingLIx/THz_Dataset
공식 코드Active Terahertz Imaging Dataset for Concealed Object Detection
https://github.com/Link2Link/FE_GCN
공식 코드https://github.com/LittlePey/SFD
공식 코드Sparse Fuse Dense: Towards High Quality 3D Detection with Depth Completion
https://github.com/Liu-Hy/nlp-contrib-graph
공식 코드https://github.com/LiyangTseng/AudMem
공식 코드A Dataset and Baselines for Measuring and Predicting the Music Piece Memorability
https://github.com/Liz66666/SIENet
공식 코드SIENet: Spatial Information Enhancement Network for 3D Object Detection from Point Cloud
https://github.com/Lizhe1228/MambaDFuse
공식 코드MambaDFuse: A Mamba-based Dual-phase Model for Multi-modality Image Fusion
https://github.com/LouisYuxuLu/ERANet
공식 코드https://github.com/LourencoVazPato/seeing-without-looking
공식 코드Seeing without Looking: Contextual Rescoring of Object Detections for AP Maximization
https://github.com/LucasKirsten/Deep-Cell-Tracking-EBB
공식 코드https://github.com/Lucia-Ningning/Adaptive_Fusion_RGBD_Saliency_Detection
공식 코드https://github.com/Lucs1590/Coffee_Recognize
공식 코드Artificial intelligence for detection and quantification of rust and leaf miner in coffee crop
https://github.com/LukasStankevicius/Generating-abstractive-summaries-of-Lithuanian-news-articles-using-a-transformer-model
공식 코드Generating abstractive summaries of Lithuanian news articles using a transformer model
https://github.com/Lx-Bao/QSFNet
공식 코드Quality-aware Selective Fusion Network for V-D-T Salient Object Detection
https://github.com/Lyz1213/BadEdit
공식 코드https://github.com/M4gicT0/autonomous-drone-racing
공식 코드Image Generation for Efficient Neural Network Training in Autonomous Drone Racing
https://github.com/MAPS-research/Ditail
공식 코드Diffusion Cocktail: Mixing Domain-Specific Diffusion Models for Diversified Image Generations
https://github.com/MCG-NJU/MOTIP
공식 코드https://github.com/MECLabTUDA/VoxelSceneGraph
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.