https://github.com/monster-ghost/monodistill
공식 코드MonoDistill: Learning Spatial Features for Monocular 3D Object Detection
Papers with Code 아카이브
2D Object Detection
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/moothes/a2s-usod
공식 코드https://github.com/moothes/a2s-v2
공식 코드Texture-guided Saliency Distilling for Unsupervised Salient Object Detection
https://github.com/moothes/salod
공식 코드https://github.com/moured/document-graphics-digitization
공식 코드https://github.com/mousecpn/Boosting-R-CNN-Reweighting-R-CNN-Samples-by-RPN-s-Error-for-Underwater-Object-Detection
공식 코드Boosting R-CNN: Reweighting R-CNN Samples by RPN's Error for Underwater Object Detection
https://github.com/mousecpn/boosting-r-cnn
공식 코드Boosting R-CNN: Reweighting R-CNN Samples by RPN's Error for Underwater Object Detection
https://github.com/movingforward100/shadow_r
공식 코드ShadowRefiner: Towards Mask-free Shadow Removal via Fast Fourier Transformer
https://github.com/moyog/fisheye8k
공식 코드FishEye8K: A Benchmark and Dataset for Fisheye Camera Object Detection
https://github.com/mpitropov/cadc_devkit
공식 코드https://github.com/mr-bigworth/mmca
공식 코드https://github.com/mrT23/TResNet
공식 코드https://github.com/mribrahim/PESMOD
공식 코드UAV Images Dataset for Moving Object Detection from Moving Cameras
https://github.com/mrnabati/CenterFusion
공식 코드CenterFusion: Center-based Radar and Camera Fusion for 3D Object Detection
https://github.com/mrnabati/RRPN
공식 코드RRPN: Radar Region Proposal Network for Object Detection in Autonomous Vehicles
https://github.com/mrqrs/cg-ssd
공식 코드CG-SSD: Corner Guided Single Stage 3D Object Detection from LiDAR Point Cloud
https://github.com/mrsempress/obmo
공식 코드OBMO: One Bounding Box Multiple Objects for Monocular 3D Object Detection
https://github.com/mrwow/ladder
공식 코드https://github.com/mrwu-mac/EoID
공식 코드End-to-End Zero-Shot HOI Detection via Vision and Language Knowledge Distillation
https://github.com/ms2ku-vtts/ms2ku-vtts
공식 코드Multi-Source Spatial Knowledge Understanding for Immersive Visual Text-to-Speech
https://github.com/mschubert95/identifying_label_errors_in_od
공식 코드Identifying Label Errors in Object Detection Datasets by Loss Inspection
https://github.com/mshenoda/wheel-detector
공식 코드Lighting and Rotation Invariant Real-time Vehicle Wheel Detector based on YOLOv5
https://github.com/msohaildanish/divalign
공식 코드Improving Single Domain-Generalized Object Detection: A Focus on Diversification and Alignment
https://github.com/msprITU/TDIOT
공식 코드TDIOT: Target-driven Inference for Deep Video Object Tracking
https://github.com/msracver/Deformable-ConvNets
공식 코드https://github.com/msracver/Flow-Guided-Feature-Aggregation
공식 코드https://github.com/msracver/Relation-Networks-for-Object-Detection
공식 코드https://github.com/msundyy/faster
공식 코드FASTer: Focal Token Acquiring-and-Scaling Transformer for Long-term 3D Object Detection
https://github.com/mtayyab454/CNN-compression-ICIP2021
공식 코드Compressing Deep CNNs using Basis Representation and Spectral Fine-tuning
https://github.com/multimedialabsfu/learned-point-cloud-compression-for-classification
공식 코드https://github.com/multitel-ai/cia
공식 코드CIA: Controllable Image Augmentation Framework Based on Stable Diffusion
https://github.com/mumianyuxin/M3DSSD
공식 코드https://github.com/murufeng/EPSANet
공식 코드EPSANet: An Efficient Pyramid Squeeze Attention Block on Convolutional Neural Network
https://github.com/mut-deep/ir-lpr
공식 코드IR-LPR: Large Scale of Iranian License Plate Recognition Dataset
https://github.com/mvme-hbut/faster-orefsdet
공식 코드Faster OreFSDet : A Lightweight and Effective Few-shot Object Detector for Ore Images
https://github.com/mvme-hbut/sdd-fti-fdet
공식 코드Spatial-wise Dynamic Distillation for MLP-like Efficient Visual Fault Detection of Freight Trains
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.