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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/idea-research/t-rex
공식 코드T-Rex2: Towards Generic Object Detection via Text-Visual Prompt Synergy
https://github.com/idea-research/x-pose
공식 코드https://github.com/idejie/KAD
공식 코드Active Object Detection with Knowledge Aggregation and Distillation from Large Models
https://github.com/idiap/residual_pose
공식 코드Residual Pose: A Decoupled Approach for Depth-based 3D Human Pose Estimation
https://github.com/idiap/rnv
공식 코드Unsupervised Rhythm and Voice Conversion to Improve ASR on Dysarthric Speech
https://github.com/idiosyncracies/Sebica
공식 코드Sebica: Lightweight Spatial and Efficient Bidirectional Channel Attention Super Resolution Network
https://github.com/idrl-lab/Full-coverage-camouflage-adversarial-attack
공식 코드FCA: Learning a 3D Full-coverage Vehicle Camouflage for Multi-view Physical Adversarial Attack
https://github.com/idstcv/DR_loss
공식 코드DR Loss: Improving Object Detection by Distributional Ranking
https://github.com/iduta/coconv
공식 코드https://github.com/iduta/iresnet
공식 코드https://github.com/iduta/pyconv
공식 코드Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition
https://github.com/ielab/agvaluate
공식 코드AgAsk: An Agent to Help Answer Farmer's Questions From Scientific Documents
https://github.com/ies-research/uncertainty-object-detection
공식 코드A Review of Uncertainty Calibration in Pretrained Object Detectors
https://github.com/iesl/CSFCube
공식 코드CSFCube -- A Test Collection of Computer Science Research Articles for Faceted Query by Example
https://github.com/ifzhang/FairMOT
공식 코드FairMOT: On the Fairness of Detection and Re-Identification in Multiple Object Tracking
https://github.com/iglict/stylizednerf
공식 코드StylizedNeRF: Consistent 3D Scene Stylization as Stylized NeRF via 2D-3D Mutual Learning
https://github.com/ignc-research/habitatdyn
공식 코드HabitatDyn Dataset: Dynamic Object Detection to Kinematics Estimation
https://github.com/igor-morawski/nod
공식 코드https://github.com/igor-morawski/raw-nod
공식 코드https://github.com/iim-ttij/mva2023smallobjectdetection4spottingbirds
공식 코드MVA2023 Small Object Detection Challenge for Spotting Birds: Dataset, Methods, and Results
https://github.com/iiscleap/zest
공식 코드Zero Shot Audio to Audio Emotion Transfer With Speaker Disentanglement
https://github.com/iit-pavis/learnaug-uda
공식 코드Learnable Data Augmentation for One-Shot Unsupervised Domain Adaptation
https://github.com/iit-pavis/look_around_and_learn
공식 코드Look Around and Learn: Self-Training Object Detection by Exploration
https://github.com/iitis/HSI_blood_detection
공식 코드A Dataset for Evaluating Blood Detection in Hyperspectral Images
https://github.com/ika-rwth-aachen/multicorrupt
공식 코드https://github.com/ikatsamenis/cone-detection
공식 코드TraCon: A novel dataset for real-time traffic cones detection using deep learning
https://github.com/ikergarcia1996/noticia
공식 코드NoticIA: A Clickbait Article Summarization Dataset in Spanish
https://github.com/iknoorjobs/semeval-code
공식 코드https://github.com/iliiliiliili/tanet-near-far
공식 코드Analysis of voxel-based 3D object detection methods efficiency for real-time embedded systems
https://github.com/illaitar/based
공식 코드BASED: Benchmarking, Analysis, and Structural Estimation of Deblurring
https://github.com/ilyagusev/rudetox
공식 코드https://github.com/imankgoyal/NonDeepNetworks
공식 코드https://github.com/imatge-upc/detection-2016-nipsws
공식 코드Hierarchical Object Detection with Deep Reinforcement Learning
https://github.com/imatge-upc/retrieval-2016-deepvision
공식 코드https://github.com/imatif17/Prototype-Mean-Teacher
공식 코드Multi-Source Domain Adaptation for Object Detection with Prototype-based Mean-teacher
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.