Papers with Code 아카이브
Object Detection
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/anocodetest1/FPB
공식 코드https://github.com/anonymized-for-review/automatic_meningioma_grading
공식 코드Automatic and explainable grading of meningiomas from histopathology images
https://github.com/anonymous0120/dr
공식 코드Enhancing Cross-task Black-Box Transferability of Adversarial Examples with Dispersion Reduction
https://github.com/anonymous0519/hsod-bit
공식 코드DMSSN: Distilled Mixed Spectral-Spatial Network for Hyperspectral Salient Object Detection
https://github.com/anonymous2020new/iffDetector
공식 코드iffDetector: Inference-aware Feature Filtering for Object Detection
https://github.com/anonymous20210106/attack_detector
공식 코드Distortion-Aware Adversarial Attacks on Bounding Boxes of Object Detectors
https://github.com/anonymousoodauthor/abet
공식 코드Out-of-Distribution Detection & Applications With Ablated Learned Temperature Energy
https://github.com/another-0/dmm
공식 코드DMM: Disparity-guided Multispectral Mamba for Oriented Object Detection in Remote Sensing
https://github.com/ansonlcy/TSceneJAL
공식 코드TSceneJAL: Joint Active Learning of Traffic Scenes for 3D Object Detection
https://github.com/anthonymlortiz/lcn
공식 코드https://github.com/antmachineintelligence/mui-zh
공식 코드Mobile User Interface Element Detection Via Adaptively Prompt Tuning
https://github.com/antoyang/TubeDETR
공식 코드https://github.com/antxinyuan/ssp
공식 코드Semantic-decoupled Spatial Partition Guided Point-supervised Oriented Object Detection
https://github.com/anuragkulkarni/lidar-based_object_detection_with_real-time_voice_specifications
공식 코드LiDAR-based Object Detection with Real-time Voice Specifications
https://github.com/aoki-media-lab/event_based_segmentation_vcmax
공식 코드Iterative Event-based Motion Segmentation by Variational Contrast Maximization
https://github.com/aosokin/cnn_head_detection
공식 코드https://github.com/aosokin/os2d
공식 코드OS2D: One-Stage One-Shot Object Detection by Matching Anchor Features
https://github.com/aounon/center-smoothing
공식 코드Center Smoothing: Certified Robustness for Networks with Structured Outputs
https://github.com/apple/ARKitScenes
공식 코드ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data
https://github.com/apple/ml-cvnets
공식 코드MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer
https://github.com/apple/ml-dr
공식 코드Reinforce Data, Multiply Impact: Improved Model Accuracy and Robustness with Dataset Reinforcement
https://github.com/apple/ml-mobileone
공식 코드https://github.com/apple/ml-tune-mode-convbn
공식 코드https://github.com/apple1986/residual_learning_for_images
공식 코드https://github.com/applied-ai-lab/object_matching
공식 코드Semantically Grounded Object Matching for Robust Robotic Scene Rearrangement
https://github.com/arashsajjadi/TGraphX
공식 코드TGraphX: Tensor-Aware Graph Neural Network for Multi-Dimensional Feature Learning
https://github.com/arashwan/matrixnet
공식 코드MatrixNets: A New Scale and Aspect Ratio Aware Architecture for Object Detection
https://github.com/arcaninez/odm3d
공식 코드ODM3D: Alleviating Foreground Sparsity for Semi-Supervised Monocular 3D Object Detection
https://github.com/archiplab-linfengzhang/contrastive-deep-supervision
공식 코드https://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 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.