Papers with Code 아카이브
Object Detection
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/urmagicsmine/MVP-Net
공식 코드MVP-Net: Multi-view FPN with Position-aware Attention for Deep Universal Lesion Detection
https://github.com/urmagicsmine/cspr
공식 코드https://github.com/usama-x930/vt-lpr
공식 코드Vehicle and License Plate Recognition with Novel Dataset for Toll Collection
https://github.com/usp-lrm/dcme
공식 코드Distance to Center of Mass Encoding for Instance Segmentation
https://github.com/ut-amrl/coda-devkit
공식 코드Towards Robust Robot 3D Perception in Urban Environments: The UT Campus Object Dataset
https://github.com/ut-amrl/coda-models
공식 코드Towards Robust Robot 3D Perception in Urban Environments: The UT Campus Object Dataset
https://github.com/utaustin-swarmlab/task-aware-distributed-source-coding
공식 코드Task-aware Distributed Source Coding under Dynamic Bandwidth
https://github.com/utokyo-fieldphenomics-lab/doda
공식 코드DODA: Diffusion for Object-detection Domain Adaptation in Agriculture
https://github.com/uulm-mrm/mmood3d
공식 코드Revisiting Out-of-Distribution Detection in LiDAR-based 3D Object Detection
https://github.com/uw-cmg/cavity_defect_detection
공식 코드Predicting Performance of Object Detection Models in Electron Microscopy Using Random Forests
https://github.com/uw-cmg/defectstemvideoanalysis
공식 코드A Deep Learning Based Automatic Defect Analysis Framework for In-situ TEM Ion Irradiations
https://github.com/uzh-rpg/event_representation_study
공식 코드From Chaos Comes Order: Ordering Event Representations for Object Recognition and Detection
https://github.com/uzh-rpg/rpg_asynet
공식 코드https://github.com/uzh-rpg/rpg_ev-transfer
공식 코드Bridging the Gap between Events and Frames through Unsupervised Domain Adaptation
https://github.com/uzh-rpg/rpg_ramnet
공식 코드https://github.com/uzh-rpg/rvt
공식 코드Recurrent Vision Transformers for Object Detection with Event Cameras
https://github.com/uzh-rpg/ssms_event_cameras
공식 코드https://github.com/uzh-rpg/svit
공식 코드Revisiting Token Pruning for Object Detection and Instance Segmentation
https://github.com/uzkent/EfficientObjectDetection
공식 코드Efficient Object Detection in Large Images using Deep Reinforcement Learning
https://github.com/v-andrearczyk/caffe-TCNN
공식 코드Using Filter Banks in Convolutional Neural Networks for Texture Classification
https://github.com/vacancy/PreciseRoIPooling
공식 코드Acquisition of Localization Confidence for Accurate Object Detection
https://github.com/val-iisc/sdat
공식 코드https://github.com/valeoai/MVRSS
공식 코드https://github.com/valeoai/WoodScape/tree/master/omnidet
공식 코드OmniDet: Surround View Cameras based Multi-task Visual Perception Network for Autonomous Driving
https://github.com/valeoai/also
공식 코드ALSO: Automotive Lidar Self-supervision by Occupancy estimation
https://github.com/valeoai/obow
공식 코드OBoW: Online Bag-of-Visual-Words Generation for Self-Supervised Learning
https://github.com/valeoai/slidr
공식 코드Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data
https://github.com/valiantdiligent/uav-detr
공식 코드UAV-DETR: Efficient End-to-End Object Detection for Unmanned Aerial Vehicle Imagery
https://github.com/vdigpku/bev-mae
공식 코드https://github.com/vdigpku/formula
공식 코드https://github.com/vdigpku/henet
공식 코드HENet: Hybrid Encoding for End-to-end Multi-task 3D Perception from Multi-view Cameras
https://github.com/vdigpku/nas-bnn
공식 코드NAS-BNN: Neural Architecture Search for Binary Neural Networks
https://github.com/vdigpku/rcbevdet
공식 코드RCBEVDet: Radar-camera Fusion in Bird's Eye View for 3D Object Detection
https://github.com/vdigpku/t-sea
공식 코드T-SEA: Transfer-based Self-Ensemble Attack on Object Detection
https://github.com/vdigpku/teocc
공식 코드TEOcc: Radar-camera Multi-modal Occupancy Prediction via Temporal Enhancement
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.