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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/awaisrauf/borg
공식 코드BOrg: A Brain Organoid-Based Mitosis Dataset for Automatic Analysis of Brain Diseases
https://github.com/awei669/VQ-Font
공식 코드https://github.com/axelahlin/uggleupplagan
공식 코드Mapping the Past: Geographically Linking an Early 20th Century Swedish Encyclopedia with Wikidata
https://github.com/axin1301/satellite-imagery-dataset
공식 코드A Satellite Imagery Dataset for Long-Term Sustainable Development in United States Cities
https://github.com/axium/Blind-Image-Deconvolution-using-Deep-Generative-Priors
공식 코드Blind Image Deconvolution using Pretrained Generative Priors
https://github.com/ayanban011/graphkd
공식 코드https://github.com/aybora/CVPR2020-Anti-UAV-OGAM-Correction
공식 코드https://github.com/aybora/Semi-Automatic-Video-Annotation-OGAM
공식 코드https://github.com/aymanbegh/benchmarking-performance
공식 코드Benchmarking performance of object detection under image distortions in an uncontrolled environment
https://github.com/aymanbegh/cd-coco
공식 코드CD-COCO: A Versatile Complex Distorted COCO Database for Scene-Context-Aware Computer Vision
https://github.com/aymanbegh/hybrid-gcnn-cnn
공식 코드https://github.com/ayushjain1144/SeeingByMoving
공식 코드Move to See Better: Self-Improving Embodied Object Detection
https://github.com/ayusinelnik/narratives-at-conflict
공식 코드https://github.com/azadis/LDDP
공식 코드https://github.com/azadis/MC-GAN
공식 코드https://github.com/azhuantou/hssda
공식 코드Hierarchical Supervision and Shuffle Data Augmentation for 3D Semi-Supervised Object Detection
https://github.com/azuma164/defense-prefix
공식 코드https://github.com/azuxmioy/Render-In-Between
공식 코드Render In-between: Motion Guided Video Synthesis for Action Interpolation
https://github.com/azzarelli/wape
공식 코드https://github.com/b-faye/lightmdetr
공식 코드A Lightweight Modular Framework for Low-Cost Open-Vocabulary Object Detection Training
https://github.com/b04901014/ISGAN
공식 코드Generative Adversarial Networks for Unpaired Voice Transformation on Impaired Speech
https://github.com/b04901014/uuvc
공식 코드A unified one-shot prosody and speaker conversion system with self-supervised discrete speech units
https://github.com/baaivision/eva
공식 코드EVA: Exploring the Limits of Masked Visual Representation Learning at Scale
https://github.com/bahjat-kawar/ddrm
공식 코드https://github.com/bahjat-kawar/snips_torch
공식 코드https://github.com/bailefan/nano-esg
공식 코드Nano-ESG: Extracting Corporate Sustainability Information from News Articles
https://github.com/bandainamcoresearchinc/bandai-namco-research-motiondataset
공식 코드Motion Capture Dataset for Practical Use of AI-based Motion Editing and Stylization
https://github.com/baneitixiaomai/mirv
공식 코드Mutual Information Regularization for Weakly-supervised RGB-D Salient Object Detection
https://github.com/bapfl/code
공식 코드https://github.com/bardhprenkaj/gist
공식 코드https://github.com/bardia-az/ppa-code
공식 코드Privacy-Preserving Autoencoder for Collaborative Object Detection
https://github.com/bardisafa/open-set-atr
공식 코드https://github.com/barisbatuhan/dass_det_inference
공식 코드Domain-Adaptive Self-Supervised Pre-Training for Face & Body Detection in Drawings
https://github.com/barisbatuhan/dass_detector
공식 코드Domain-Adaptive Self-Supervised Pre-Training for Face & Body Detection in Drawings
https://github.com/barisgecer/facegan
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.