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/HDETR/H-Deformable-DETR
공식 코드https://github.com/HDETR/H-Deformable-DETR-mmdet
공식 코드https://github.com/HDETR/H-Detic-LVIS
공식 코드https://github.com/HDETR/H-PETR-3D
공식 코드https://github.com/HDETR/H-PETR-Pose
공식 코드https://github.com/HEPIUSLAB/ultrasound_spinal_cord_dataset
공식 코드https://github.com/HIK-LAB/Unsupervised-Image-Classification
공식 코드Unsupervised Image Classification for Deep Representation Learning
https://github.com/HKUST-Aerial-Robotics/FM-Fusion
공식 코드FM-Fusion: Instance-aware Semantic Mapping Boosted by Vision-Language Foundation Models
https://github.com/HKUST-Aerial-Robotics/Stereo-RCNN
공식 코드Stereo R-CNN based 3D Object Detection for Autonomous Driving
https://github.com/HPL123/RRFS
공식 코드Robust Region Feature Synthesizer for Zero-Shot Object Detection
https://github.com/HSE-asavchenko/mobile-visual-preferences
공식 코드https://github.com/HVision-NKU/Strip-R-CNN
공식 코드Strip R-CNN: Large Strip Convolution for Remote Sensing Object Detection
https://github.com/HWQuantum/Simulating-single-photon-detector-array-sensors-for-depth-imaging
공식 코드Simulating single-photon detector array sensors for depth imaging
https://github.com/HYjhkoh/TM_VOD
공식 코드Joint Representation of Temporal Image Sequences and Object Motion for Video Object Detection
https://github.com/HZAI-ZJNU/SCSA
공식 코드SCSA: Exploring the Synergistic Effects Between Spatial and Channel Attention
https://github.com/HakkiMotorcu/HM-Net_WAMI
공식 코드HM-Net: A Regression Network for Object Center Detection and Tracking on Wide Area Motion Imagery
https://github.com/HanjiangHu/Multi-LiDAR-Placement-for-3D-Detection
공식 코드Investigating the Impact of Multi-LiDAR Placement on Object Detection for Autonomous Driving
https://github.com/HaoGood/MOD
공식 코드Toward Minimal Misalignment at Minimal Cost in One-Stage and Anchor-Free Object Detection
https://github.com/HaochengWan/PVT
공식 코드https://github.com/HaojunYu1998/UltraDet
공식 코드https://github.com/HarmoniaLeo/FRLW-EvD
공식 코드Motion Robust High-Speed Light-Weighted Object Detection With Event Camera
https://github.com/Heliot7/viewpoint-cnn-syn
공식 코드Joint Viewpoint and Keypoint Estimation with Real and Synthetic Data
https://github.com/HikariTJU/LD
공식 코드https://github.com/Hiyuur/SR-TOD
공식 코드https://github.com/HolmesShuan/Compact-Global-Descriptor
공식 코드https://github.com/Howal/Cross-iterationBatchNorm
공식 코드https://github.com/Howal/DNL-Object-Detection
공식 코드https://github.com/HsinYingLee/OPN
공식 코드https://github.com/HuangJunJie2017/BEVDet
공식 코드BEVDet: High-performance Multi-camera 3D Object Detection in Bird-Eye-View
https://github.com/Hwang64/MLKP
공식 코드Multi-scale Location-aware Kernel Representation for Object Detection
https://github.com/Hwang64/PSIS
공식 코드Data Augmentation for Object Detection via Progressive and Selective Instance-Switching
https://github.com/Hydragon516/SPSN
공식 코드SPSN: Superpixel Prototype Sampling Network for RGB-D Salient Object Detection
https://github.com/I2-Multimedia-Lab/A2S-v3
공식 코드Unified Unsupervised Salient Object Detection via Knowledge Transfer
https://github.com/I2-Multimedia-Lab/M3Net
공식 코드M$^3$Net: Multilevel, Mixed and Multistage Attention Network for Salient Object Detection
https://github.com/I2-Multimedia-Lab/UGRAN
공식 코드Uncertainty Guided Refinement for Fine-Grained Salient Object Detection
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.