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Robust Object Detection

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하위 태스크: 0
평가표: 5
보존된 평가 기록: 31

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;

<span style="color:grey; opacity: 0.6">( Image credit: Benchmarking Robustness in Object Detection )</span>

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/RituYadav92/Radar-RGB-Attentive-Multimodal-Object-Detection

공식 코드

Radar+RGB Attentive Fusion for Robust Object Detection in Autonomous Vehicles

https://github.com/ShaoqingRen/faster_rcnn

공식 코드

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

https://github.com/TAMU-VITA/UAV-NDFT

공식 코드

Delving into Robust Object Detection from Unmanned Aerial Vehicles: A Deep Nuisance Disentanglement Approach

https://github.com/VITA-Group/UAV-NDFT

공식 코드

Delving into Robust Object Detection from Unmanned Aerial Vehicles: A Deep Nuisance Disentanglement Approach

https://github.com/WoojuLee24/OA-DG

공식 코드

Object-Aware Domain Generalization for Object Detection

https://github.com/XingangPan/IBN-Net

공식 코드

Two at Once: Enhancing Learning and Generalization Capacities via IBN-Net

https://github.com/XingangPan/Switchable-Whitening

공식 코드

Switchable Whitening for Deep Representation Learning

https://github.com/abanitalebi/simrod

공식 코드

SimROD: A Simple Adaptation Method for Robust Object Detection

https://github.com/alibaba/easyrobust

공식 코드

COCO-O: A Benchmark for Object Detectors under Natural Distribution Shifts

https://github.com/bethgelab/imagecorruptions

공식 코드

Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming

https://github.com/bethgelab/mmdetection

공식 코드

Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming

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

공식 코드

Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming

https://github.com/bethgelab/stylize-datasets

공식 코드

Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming

https://github.com/cxliu0/oa-mil

공식 코드

Robust Object Detection With Inaccurate Bounding Boxes

https://github.com/daeunfullgrace/dyra

공식 코드

DyRA: Portable Dynamic Resolution Adjustment Network for Existing Detectors

https://github.com/encounter1997/SFA

공식 코드

Exploring Sequence Feature Alignment for Domain Adaptive Detection Transformers

https://github.com/fkthi/OpenTrafficMonitoringPlus

공식 코드

Vehicle Position Estimation with Aerial Imagery from Unmanned Aerial Vehicles

https://github.com/git-disl/TOG

공식 코드

TOG: Targeted Adversarial Objectness Gradient Attacks on Real-time Object Detection Systems

https://github.com/google-research/augmix

공식 코드

AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty

https://github.com/heboyong/Generalized-Diffusion-Detector

공식 코드

Generalized Diffusion Detector: Mining Robust Features from Diffusion Models for Domain-Generalized Detection

https://github.com/heboyong/fitness-generalization-transferability

공식 코드

Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability

https://github.com/hehaodong530/dota-c

공식 코드

On the Robustness of Object Detection Models on Aerial Images

https://github.com/helioszhao/shade

공식 코드

Style-Hallucinated Dual Consistency Learning for Domain Generalized Semantic Segmentation

https://github.com/huangleiBuaa/IterNorm

공식 코드

Iterative Normalization: Beyond Standardization towards Efficient Whitening

https://github.com/inspire-group/ObjectSeeker

공식 코드

ObjectSeeker: Certifiably Robust Object Detection against Patch Hiding Attacks via Patch-agnostic Masking

https://github.com/inspire-group/detectorguard

공식 코드

DetectorGuard: Provably Securing Object Detectors against Localized Patch Hiding Attacks

https://github.com/marc1198/chat-hsr

공식 코드

LLM-Empowered Embodied Agent for Memory-Augmented Task Planning in Household Robotics

https://github.com/mxbh/robust_object_detection

공식 코드

Robust Object Detection in Remote Sensing Imagery with Noisy and Sparse Geo-Annotations (Full Version)

https://github.com/qxgeng/dea-net

공식 코드

Anchor Retouching via Model Interaction for Robust Object Detection in Aerial Images

https://github.com/rbgirshick/py-faster-rcnn

공식 코드

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

https://github.com/reactivetype/simrod

공식 코드

SimROD: A Simple Adaptation Method for Robust Object Detection

https://github.com/robustinsight/constscene

공식 코드

ConstScene: Dataset and Model for Advancing Robust Semantic Segmentation in Construction Environments

https://github.com/samvadidar/rgbt

공식 코드

Robust Environment Perception for Automated Driving: A Unified Learning Pipeline for Visual-Infrared Object Detection

https://github.com/shachoi/RobustNet

공식 코드

RobustNet: Improving Domain Generalization in Urban-Scene Segmentation via Instance Selective Whitening

https://github.com/startracker0/physaug

공식 코드

PhysAug: A Physical-guided and Frequency-based Data Augmentation for Single-Domain Generalized Object Detection

https://github.com/suhaisheng/robosense

공식 코드

RoboSense: Large-scale Dataset and Benchmark for Egocentric Robot Perception and Navigation in Crowded and Unstructured Environments

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.