Papers with Code 아카이브
2D Object Detection
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 15
- 평가표
- 20
- 보존된 평가 기록
- 57
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/ardagen/stem-automated-nanoparticle-analysis-yolov8-sam
공식 코드https://github.com/arekavandi/transformer-sod
공식 코드Transformers in Small Object Detection: A Benchmark and Survey of State-of-the-Art
https://github.com/areuther/ai-accelerators
공식 코드https://github.com/argoverse/av2-api
공식 코드Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting
https://github.com/aritrabhowmik/uoi
공식 코드Union-over-Intersections: Object Detection beyond Winner-Takes-All
https://github.com/arm-software/ml-restructurable-activation-networks
공식 코드https://github.com/arminmasoumian/gcndepth
공식 코드https://github.com/arojsubedi/cct20_processed_dataset
공식 코드Improving Generalization Performance of YOLOv8 for Camera Trap Object Detection
https://github.com/arojsubedi/improved-yolov8s
공식 코드Improving Generalization Performance of YOLOv8 for Camera Trap Object Detection
https://github.com/arpitbansal297/universal-guided-diffusion
공식 코드https://github.com/arplaboratory/PENet
공식 코드https://github.com/arturjordao/WearableSensorData
공식 코드Human Activity Recognition Based on Wearable Sensor Data: A Standardization of the State-of-the-Art
https://github.com/aryanshar/swarm-detection
공식 코드Lightweight Multi-Drone Detection and 3D-Localization via YOLO
https://github.com/asbroad/geom_rcnn
공식 코드Geometry-Based Region Proposals for Real-Time Robot Detection of Tabletop Objects
https://github.com/asharakeh/bayes-od-rc
공식 코드BayesOD: A Bayesian Approach for Uncertainty Estimation in Deep Object Detectors
https://github.com/asharakeh/pod_compare
공식 코드A Review and Comparative Study on Probabilistic Object Detection in Autonomous Driving
https://github.com/asharakeh/probdet
공식 코드Estimating and Evaluating Regression Predictive Uncertainty in Deep Object Detectors
https://github.com/ashep29/confluence
공식 코드Confluence: A Robust Non-IoU Alternative to Non-Maxima Suppression in Object Detection
https://github.com/ashishkumar822/cred-detr
공식 코드Cross Resolution Encoding-Decoding For Detection Transformers
https://github.com/ashu1069/perceptual-piercing
공식 코드Perceptual Piercing: Human Visual Cue-based Object Detection in Low Visibility Conditions
https://github.com/asra-aslam/unseennet
공식 코드https://github.com/asrafulashiq/transfer_broad
공식 코드A Broad Study on the Transferability of Visual Representations with Contrastive Learning
https://github.com/ast-fortiss-tum/perturbation-drive
공식 코드Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems
https://github.com/asterisci/language-assisted-3d
공식 코드Language-Assisted 3D Feature Learning for Semantic Scene Understanding
https://github.com/asterisci/point-gcc
공식 코드Point-GCC: Universal Self-supervised 3D Scene Pre-training via Geometry-Color Contrast
https://github.com/astra-vision/poda
공식 코드https://github.com/atonderski/future-object-detection
공식 코드https://github.com/atten4vis/cae
공식 코드Context Autoencoder for Self-Supervised Representation Learning
https://github.com/atten4vis/conditionaldetr
공식 코드https://github.com/atten4vis/demystifylocalvit
공식 코드On the Connection between Local Attention and Dynamic Depth-wise Convolution
https://github.com/atten4vis/groupdetr
공식 코드Group DETR: Fast DETR Training with Group-Wise One-to-Many Assignment
https://github.com/atten4vis/lw-detr
공식 코드LW-DETR: A Transformer Replacement to YOLO for Real-Time Detection
https://github.com/atten4vis/ms-detr
공식 코드https://github.com/augcog/dttd2
공식 코드Robust 6DoF Pose Estimation Against Depth Noise and a Comprehensive Evaluation on a Mobile Dataset
https://github.com/augcog/robust-digital-twin-tracking
공식 코드Robust 6DoF Pose Estimation Against Depth Noise and a Comprehensive Evaluation on a Mobile Dataset
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.