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Robust Object Detection

A Benchmark for the: Robustness of Object Detection Models to Image Corruptions and Distortions

To allow fair comparison of robustness enhancing methods all models have to use a standard ResNet50 backbone because performance strongly scales with backbone capacity. If requested an unrestricted category can be added later.

Benchmark Homepage: https://github.com/bethgelab/robust-detection-benchmark

Metrics:

mPC [AP]: Mean Performance under Corruption [measured in AP]

rPC [%]: Relative Performance under Corruption [measured in %]

Test sets: Coco: val 2017; Pascal VOC: test 2007; Cityscapes: val;

( Image credit: Benchmarking Robustness in Object Detection )

Papers

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Showing 26–50 of 90 papers

TitleStatusHype
Robust Object Detection in Remote Sensing Imagery with Noisy and Sparse Geo-Annotations (Full Version)Code1
Robust Object Detection of Underwater Robot based on Domain GeneralizationCode1
Robust Object Detection via Instance-Level Temporal Cycle ConfusionCode1
Robust Object Detection With Inaccurate Bounding BoxesCode1
SemanticSpray++: A Multimodal Dataset for Autonomous Driving in Wet Surface ConditionsCode1
SimROD: A Simple Adaptation Method for Robust Object DetectionCode1
Single-Domain Generalized Object Detection in Urban Scene via Cyclic-Disentangled Self-DistillationCode1
Style-Hallucinated Dual Consistency Learning for Domain Generalized Semantic SegmentationCode1
The Aircraft Context Dataset: Understanding and Optimizing Data Variability in Aerial DomainsCode1
TOG: Targeted Adversarial Objectness Gradient Attacks on Real-time Object Detection SystemsCode1
Towards Scene Understanding for Autonomous Operations on Airport ApronsCode1
Two at Once: Enhancing Learning and Generalization Capacities via IBN-NetCode1
Vehicle Position Estimation with Aerial Imagery from Unmanned Aerial VehiclesCode1
Strong but simple: A Baseline for Domain Generalized Dense Perception by CLIP-based Transfer LearningCode1
YOLOv3: An Incremental ImprovementCode1
Multi-Task Cross-Modality Attention-Fusion for 2D Object Detection—0
UAV3D: A Large-scale 3D Perception Benchmark for Unmanned Aerial Vehicles—0
VLC Fusion: Vision-Language Conditioned Sensor Fusion for Robust Object Detection—0
Improving Batch Normalization with TTA for Robust Object Detection in Self-Driving—0
Incremental Deep Learning for Robust Object Detection in Unknown Cluttered Environments—0
Labels Are Not Perfect: Improving Probabilistic Object Detection via Label Uncertainty—0
SF-FSDA: Source-Free Few-Shot Domain Adaptive Object Detection with Efficient Labeled Data Factory—0
Learning to Borrow Features for Improved Detection of Small Objects in Single-Shot Detectors—0
SimMining-3D: Altitude-Aware 3D Object Detection in Complex Mining Environments: A Novel Dataset and ROS-Based Automatic Annotation Pipeline—0
Modelling Observation Correlations for Active Exploration and Robust Object Detection—0
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