https://github.com/bethgelab/imagecorruptions
공식 코드Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming
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Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming
Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming
Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming
Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming
Vision-Language Model for Object Detection and Segmentation: A Review and Evaluation
Adaptive Calibration: A Unified Conversion Framework of Spiking Neural Networks
Scaling Spike-driven Transformer with Efficient Spike Firing Approximation Training
Point-aware Interaction and CNN-induced Refinement Network for RGB-D Salient Object Detection
Object Instance Mining for Weakly Supervised Object Detection
Multiclass Confidence and Localization Calibration for Object Detection
Improving Transferability for Domain Adaptive Detection Transformers
Language-Driven Active Learning for Diverse Open-Set 3D Object Detection
SASA: Semantics-Augmented Set Abstraction for Point-based 3D Object Detection
Bucketed Ranking-based Losses for Efficient Training of Object Detectors
PiMAE: Point Cloud and Image Interactive Masked Autoencoders for 3D Object Detection
An extensible point-based method for data chart value detection
Fusion is Not Enough: Single Modal Attacks on Fusion Models for 3D Object Detection
TensorFlow with user friendly Graphical Framework for object detection API
Proposal Distribution Calibration for Few-Shot Object Detection
Multi-resolution Rescored ByteTrack for Video Object Detection on Ultra-low-power Embedded Systems
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.