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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/qianlim/SCALE
공식 코드SCALE: Modeling Clothed Humans with a Surface Codec of Articulated Local Elements
https://github.com/qianmingduowan/Sat2Density
공식 코드Sat2Density: Faithful Density Learning from Satellite-Ground Image Pairs
https://github.com/qianyu-dlut/mvanet
공식 코드Multi-view Aggregation Network for Dichotomous Image Segmentation
https://github.com/qianyuzqy/TransVOD_Lite
공식 코드TransVOD: End-to-End Video Object Detection with Spatial-Temporal Transformers
https://github.com/qiaott/AncientPainitng2NaturalImage
공식 코드Ancient Painting to Natural Image: A New Solution for Painting Processing
https://github.com/qigongsun/BMD
공식 코드Quantized Neural Networks via {-1, +1} Encoding Decomposition and Acceleration
https://github.com/qingqu06/sparse_deconvolution
공식 코드https://github.com/qingruzhang/pasta
공식 코드Tell Your Model Where to Attend: Post-hoc Attention Steering for LLMs
https://github.com/qingshufan/GeneA-SLAM2
공식 코드https://github.com/qingyonghu/viso
공식 코드Detecting and Tracking Small and Dense Moving Objects in Satellite Videos: A Benchmark
https://github.com/qinhongda8/ldds
공식 코드Language-Driven Dual Style Mixing for Single-Domain Generalized Object Detection
https://github.com/qinzheng93/thundernet
공식 코드https://github.com/qiujiaming315/edgeml-object-detection
공식 코드https://github.com/qiuxuanzhizi/qwsnm
공식 코드https://github.com/qjadud1994/TricubeNet
공식 코드TricubeNet: 2D Kernel-Based Object Representation for Weakly-Occluded Oriented Object Detection
https://github.com/qq456cvb/CanonicalVoting
공식 코드Canonical Voting: Towards Robust Oriented Bounding Box Detection in 3D Scenes
https://github.com/qsx830/mixbridge
공식 코드MixBridge: Heterogeneous Image-to-Image Backdoor Attack through Mixture of Schrödinger Bridges
https://github.com/qtacierp/prior
공식 코드PRIOR: Prototype Representation Joint Learning from Medical Images and Reports
https://github.com/quan-dao/apro3d-net
공식 코드Attention-based Proposals Refinement for 3D Object Detection
https://github.com/quan-dao/pc-corrector
공식 코드Aligning Bird-Eye View Representation of Point Cloud Sequences using Scene Flow
https://github.com/quan-dao/practical-collab-perception
공식 코드Practical Collaborative Perception: A Framework for Asynchronous and Multi-Agent 3D Object Detection
https://github.com/quangle2110/GAN_Mask-RCNN
공식 코드Instance Semantic Segmentation Benefits from Generative Adversarial Networks
https://github.com/quantori/tutorial-on-ml-for-microbiomics
공식 코드Supervised machine learning for microbiomics: bridging the gap between current and best practices
https://github.com/quinngroup/3Dcell_tracking_DSAA2019
공식 코드Lightweight and Scalable Particle Tracking and Motion Clustering of 3D Cell Trajectories
https://github.com/qujx/ddnet
공식 코드https://github.com/quotation2520/pg-rcnn
공식 코드PG-RCNN: Semantic Surface Point Generation for 3D Object Detection
https://github.com/qxgeng/dea-net
공식 코드Anchor Retouching via Model Interaction for Robust Object Detection in Aerial Images
https://github.com/qy-feng/CRN
공식 코드https://github.com/qy1994-0919/cfpnet
공식 코드https://github.com/qyh-bit/hsod-bit-v2
공식 코드HSOD-BIT-V2: A New Challenging Benchmarkfor Hyperspectral Salient Object Detection
https://github.com/r-j96/stainfuser
공식 코드https://github.com/r3ab/ttpla_dataset
공식 코드TTPLA: An Aerial-Image Dataset for Detection and Segmentation of Transmission Towers and Power Lines
https://github.com/radar-lab/transrad
공식 코드TransRAD: Retentive Vision Transformer for Enhanced Radar Object Detection
https://github.com/radarFudan/mamba
공식 코드Mamba: Linear-Time Sequence Modeling with Selective State Spaces
https://github.com/radetzkyli/multi-v2x
공식 코드Multi-V2X: A Large Scale Multi-modal Multi-penetration-rate Dataset for Cooperative Perception
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.