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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
SimMining-3D: Altitude-Aware 3D Object Detection in Complex Mining Environments: A Novel Dataset and ROS-Based Automatic Annotation Pipeline—0
Strong but simple: A Baseline for Domain Generalized Dense Perception by CLIP-based Transfer LearningCode1
DyRA: Portable Dynamic Resolution Adjustment Network for Existing DetectorsCode0
On the Robustness of Object Detection Models on Aerial ImagesCode1
Improved Region Proposal Network for Enhanced Few-Shot Object DetectionCode1
FROD: Robust Object Detection for Free—0
Uncertainty-Encoded Multi-Modal Fusion for Robust Object Detection in Autonomous Driving—0
COCO-O: A Benchmark for Object Detectors under Natural Distribution ShiftsCode2
Multi-Task Cross-Modality Attention-Fusion for 2D Object Detection—0
SRCD: Semantic Reasoning with Compound Domains for Single-Domain Generalized Object Detection—0
SF-FSDA: Source-Free Few-Shot Domain Adaptive Object Detection with Efficient Labeled Data Factory—0
On the Importance of Backbone to the Adversarial Robustness of Object DetectorsCode0
Mind the Backbone: Minimizing Backbone Distortion for Robust Object DetectionCode0
Identification of Novel Classes for Improving Few-Shot Object DetectionCode1
Towards Scene Understanding for Autonomous Operations on Airport ApronsCode1
Robust Object Detection in Remote Sensing Imagery with Noisy and Sparse Geo-Annotations (Full Version)Code1
Robust Object Detection With Inaccurate Bounding BoxesCode1
A Semantic Consistency Feature Alignment Object Detection Model Based on Mixed-Class Distribution Metrics—0
Robust Environment Perception for Automated Driving: A Unified Learning Pipeline for Visual-Infrared Object DetectionCode1
Weakly Aligned Feature Fusion for Multimodal Object Detection—0
Style-Hallucinated Dual Consistency Learning for Domain Generalized Semantic SegmentationCode1
RestoreX-AI: A Contrastive Approach towards Guiding Image Restoration via Explainable AI Systems—0
Fusing Event-based and RGB camera for Robust Object Detection in Adverse ConditionsCode1
ObjectSeeker: Certifiably Robust Object Detection against Patch Hiding Attacks via Patch-agnostic MaskingCode1
Single-Domain Generalized Object Detection in Urban Scene via Cyclic-Disentangled Self-DistillationCode1
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