https://github.com/yingift/mstar
공식 코드MSTAR: Box-free Multi-query Scene Text Retrieval with Attention Recycling
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/yingqianwang/lf-danet
공식 코드Real-World Light Field Image Super-Resolution via Degradation Modulation
https://github.com/yingqianwang/lf-dmnet
공식 코드Real-World Light Field Image Super-Resolution via Degradation Modulation
https://github.com/yingqinghe/shadow-removal-via-generative-priors
공식 코드https://github.com/yingutk/u2MDN
공식 코드Unsupervised and Unregistered Hyperspectral Image Super-Resolution with Mutual Dirichlet-Net
https://github.com/yinjunbo/3DVID
공식 코드https://github.com/yinjunbo/is-fusion
공식 코드IS-Fusion: Instance-Scene Collaborative Fusion for Multimodal 3D Object Detection
https://github.com/yinjunbo/proficientteachers
공식 코드Semi-supervised 3D Object Detection with Proficient Teachers
https://github.com/yinjunbo/proposalcontrast
공식 코드ProposalContrast: Unsupervised Pre-training for LiDAR-based 3D Object Detection
https://github.com/yinjunbo/ssda3d
공식 코드SSDA3D: Semi-supervised Domain Adaptation for 3D Object Detection from Point Cloud
https://github.com/yinmh17/DNL-Semantic-Segmentation
공식 코드https://github.com/yinyf0804/wsod-cbl
공식 코드Cyclic-Bootstrap Labeling for Weakly Supervised Object Detection
https://github.com/yinyunie/RfDNet
공식 코드RfD-Net: Point Scene Understanding by Semantic Instance Reconstruction
https://github.com/yinyunie/Total3DUnderstanding
공식 코드https://github.com/yinzhicun/metaf2n
공식 코드MetaF2N: Blind Image Super-Resolution by Learning Efficient Model Adaptation from Faces
https://github.com/yiqunchen1999/date
공식 코드DATE: Dual Assignment for End-to-End Fully Convolutional Object Detection
https://github.com/yixuan-2002/sea
공식 코드Rethinking the Evaluation of Visible and Infrared Image Fusion
https://github.com/yixuan730/DetToolChain
공식 코드DetToolChain: A New Prompting Paradigm to Unleash Detection Ability of MLLM
https://github.com/yizhou-wang/RODNet
공식 코드RODNet: Radar Object Detection Using Cross-Modal Supervision
https://github.com/yjsunnn/fbanet
공식 코드Towards Real-World Burst Image Super-Resolution: Benchmark and Method
https://github.com/yjybuaa/plantcamo
공식 코드https://github.com/yjzhang96/motion-etr
공식 코드https://github.com/yjzhang96/neurmap-deblur
공식 코드Neural Maximum A Posteriori Estimation on Unpaired Data for Motion Deblurring
https://github.com/yjzhao19981027/datformer
공식 코드Distortion-aware Transformer in 360° Salient Object Detection
https://github.com/ykotseruba/snap
공식 코드SNAP: A Benchmark for Testing the Effects of Capture Conditions on Fundamental Vision Tasks
https://github.com/ykshi/DDet
공식 코드DDet: Dual-path Dynamic Enhancement Network for Real-World Image Super-Resolution
https://github.com/ylwhxht/l4dr
공식 코드L4DR: LiDAR-4DRadar Fusion for Weather-Robust 3D Object Detection
https://github.com/ylwhxht/v2x-r
공식 코드V2X-R: Cooperative LiDAR-4D Radar Fusion for 3D Object Detection with Denoising Diffusion
https://github.com/ymxlzgy/commonscenes
공식 코드CommonScenes: Generating Commonsense 3D Indoor Scenes with Scene Graph Diffusion
https://github.com/yn-yang/sfnet
공식 코드Enhancing Traffic Object Detection in Variable Illumination with RGB-Event Fusion
https://github.com/yoavarad/mfad
공식 코드https://github.com/yoctta/xpaste
공식 코드X-Paste: Revisiting Scalable Copy-Paste for Instance Segmentation using CLIP and StableDiffusion
https://github.com/yoloonme/ema-attention-module
공식 코드Efficient Multi-Scale Attention Module with Cross-Spatial Learning
https://github.com/yonghaohe/dsla
공식 코드DSLA: Dynamic smooth label assignment for efficient anchor-free object detection
https://github.com/yongliang-wu/numpro
공식 코드https://github.com/yongliang-wu/repurpose
공식 코드Video Repurposing from User Generated Content: A Large-scale Dataset and Benchmark
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.