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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 51–75 of 90 papers

TitleStatusHype
Improving Batch Normalization with TTA for Robust Object Detection in Self-Driving—0
Multimodal Object Detection using Depth and Image Data for Manufacturing Parts—0
UAV3D: A Large-scale 3D Perception Benchmark for Unmanned Aerial Vehicles—0
Towards Robust Object Detection: Identifying and Removing Backdoors via Module Inconsistency Analysis—0
DPDETR: Decoupled Position Detection Transformer for Infrared-Visible Object DetectionCode0
SDNIA-YOLO: A Robust Object Detection Model for Extreme Weather Conditions—0
ConstScene: Dataset and Model for Advancing Robust Semantic Segmentation in Construction EnvironmentsCode0
SimMining-3D: Altitude-Aware 3D Object Detection in Complex Mining Environments: A Novel Dataset and ROS-Based Automatic Annotation Pipeline—0
DyRA: Portable Dynamic Resolution Adjustment Network for Existing DetectorsCode0
FROD: Robust Object Detection for Free—0
Uncertainty-Encoded Multi-Modal Fusion for Robust Object Detection in Autonomous Driving—0
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
A Semantic Consistency Feature Alignment Object Detection Model Based on Mixed-Class Distribution Metrics—0
Weakly Aligned Feature Fusion for Multimodal Object Detection—0
RestoreX-AI: A Contrastive Approach towards Guiding Image Restoration via Explainable AI Systems—0
Robust Object Detection with Multi-input Multi-output Faster R-CNN—0
Towards Robust Object Detection: Bayesian RetinaNet for Homoscedastic Aleatoric Uncertainty Modeling—0
Scene-aware Learning Network for Radar Object Detection—0
A Fully Spiking Hybrid Neural Network for Energy-Efficient Object Detection—0
Multi-Target Domain Adaptation via Unsupervised Domain Classification for Weather Invariant Object Detection—0
Labels Are Not Perfect: Improving Probabilistic Object Detection via Label Uncertainty—0
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