https://github.com/kritiksoman/GIMP-ML
공식 코드GIMP-ML: Python Plugins for using Computer Vision Models in GIMP
Papers with Code 아카이브
2D Classification
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/krr-oxford/blinkout
공식 코드Reveal the Unknown: Out-of-Knowledge-Base Mention Discovery with Entity Linking
https://github.com/krstovski/evons
공식 코드Evons: A Dataset for Fake and Real News Virality Analysis and Prediction
https://github.com/krystalan/sportssum2.0
공식 코드SportsSum2.0: Generating High-Quality Sports News from Live Text Commentary
https://github.com/ku-cvlab/maskingdepth
공식 코드MaskingDepth: Masked Consistency Regularization for Semi-supervised Monocular Depth Estimation
https://github.com/kuanchihhuang/moma-m3t
공식 코드Delving into Motion-Aware Matching for Monocular 3D Object Tracking
https://github.com/kuanchihhuang/monodtr
공식 코드MonoDTR: Monocular 3D Object Detection with Depth-Aware Transformer
https://github.com/kuanchihhuang/ptt
공식 코드PTT: Point-Trajectory Transformer for Efficient Temporal 3D Object Detection
https://github.com/kuanchihhuang/vg-w3d
공식 코드Weakly Supervised 3D Object Detection via Multi-Level Visual Guidance
https://github.com/kuangzijian/Computer-Vision-and-Normalizing-Flow-Based-Defect-Detection
공식 코드https://github.com/kuangzijian/Improved-Actor-Relation-Graph-based-Group-Activity-Recognition
공식 코드Improved Actor Relation Graph based Group Activity Recognition
https://github.com/kuielab/mdx-net
공식 코드KUIELab-MDX-Net: A Two-Stream Neural Network for Music Demixing
https://github.com/kuielab/sdx23
공식 코드Sound Demixing Challenge 2023 Music Demixing Track Technical Report: TFC-TDF-UNet v3
https://github.com/kujason/avod
공식 코드Joint 3D Proposal Generation and Object Detection from View Aggregation
https://github.com/kukrishna/usb
공식 코드USB: A Unified Summarization Benchmark Across Tasks and Domains
https://github.com/kuku-sichuan/ComparisonDetector
공식 코드https://github.com/kulikovv/DeepColoring
공식 코드https://github.com/kumuji/anomaly-benchmark-suite
공식 코드https://github.com/kumuji/ugains
공식 코드https://github.com/kunye-shen/minet
공식 코드https://github.com/kupynorest/head_detector
공식 코드VGGHeads: 3D Multi Head Alignment with a Large-Scale Synthetic Dataset
https://github.com/kushalkafle/DVQA_dataset
공식 코드DVQA: Understanding Data Visualizations via Question Answering
https://github.com/kvsphantom/multitask-unet-bss
공식 코드https://github.com/kwang2049/dapr
공식 코드https://github.com/kwanyun/LeGO_code
공식 코드https://github.com/kwatcharasupat/query-bandit
공식 코드A Stem-Agnostic Single-Decoder System for Music Source Separation Beyond Four Stems
https://github.com/kyh433/suranet
공식 코드https://github.com/kylevedder/SparsePointPillars
공식 코드https://github.com/kyungminjin/hanet
공식 코드Kinematic-aware Hierarchical Attention Network for Human Pose Estimation in Videos
https://github.com/l-kid/video-object-detection-by-location-anticipation
공식 코드Objects do not disappear: Video object detection by single-frame object location anticipation
https://github.com/l3cube-pune/MarathiNLP
공식 코드L3Cube-MahaNews: News-based Short Text and Long Document Classification Datasets in Marathi
https://github.com/l3cube-pune/indic-nlp
공식 코드L3Cube-IndicNews: News-based Short Text and Long Document Classification Datasets in Indic Languages
https://github.com/labits-stt-eesc/axle_detection
공식 코드https://github.com/labsaint/spd-conv
공식 코드https://github.com/lachlants/denet
공식 코드DeNet: Scalable Real-time Object Detection with Directed Sparse Sampling
https://github.com/lafite-yu/mttrans-opensource
공식 코드MTTrans: Cross-Domain Object Detection with Mean-Teacher Transformer
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.