Robust Object Detection

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

5 leaderboard tables shown for this task, 5 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

9 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 50 papers with code (90 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• YOLOv3: An Incremental Improvement
  8 Apr 2018 311 repositories listed Syntology ran 18 of 124 samples · 106 unverified · 19 pointer-only (licence)
  At 320x320 YOLOv3 runs in 22 ms at 28.
• Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
  4 Jun 2015 196 repositories listed Syntology ran 59 of 124 samples · 65 unverified · 42 pointer-only (licence)
  In this work, we introduce a Region Proposal Network (RPN) that shares full-image convolutional features with the detection network, thus enabling nearly cost-free region proposals.
• Two at Once: Enhancing Learning and Generalization Capacities via IBN-Net
  25 Jul 2018 25 repositories listed Syntology ran 4 of 16 samples · 12 unverified
  IBN-Net carefully integrates Instance Normalization (IN) and Batch Normalization (BN) as building blocks, and can be wrapped into many advanced deep networks to improve their performances.
• Random Erasing Data Augmentation
  16 Aug 2017 18 repositories listed
  In this paper, we introduce Random Erasing, a new data augmentation method for training the convolutional neural network (CNN).
• AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty
  5 Dec 2019 15 repositories listed Syntology ran 43 of 51 samples · 8 unverified · 25 pointer-only (licence)
  We propose AugMix, a data processing technique that is simple to implement, adds limited computational overhead, and helps models withstand unforeseen corruptions.
• Domain Adaptive Faster R-CNN for Object Detection in the Wild
  8 Mar 2018 8 repositories listed Syntology ran 1 of 8 samples · 7 unverified · 4 pointer-only (licence)
  The results demonstrate the effectiveness of our proposed approach for robust object detection in various domain shift scenarios.
• Learning Data Augmentation Strategies for Object Detection
  26 Jun 2019 6 repositories listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)
  Importantly, the best policy found on COCO may be transferred unchanged to other detection datasets and models to improve predictive accuracy.
• Iterative Normalization: Beyond Standardization towards Efficient Whitening
  6 Apr 2019 5 repositories listed Syntology ran 3 of 14 samples · 11 unverified · 1 pointer-only (licence)
  With the support of SND, we provide natural explanations to several phenomena from the perspective of optimization, e.
• Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming
  17 Jul 2019 4 repositories listed Syntology ran 2 of 5 samples · 3 unverified
  The ability to detect objects regardless of image distortions or weather conditions is crucial for real-world applications of deep learning like autonomous driving.
• Robust Object Detection of Underwater Robot based on Domain Generalization
  18 Mar 2025 2 repositories listed
  Fourth, the movement of the underwater robot leads to the blur of the captured image and makes the water muddy, which results in low visibility of the water.
• DyRA: Portable Dynamic Resolution Adjustment Network for Existing Detectors
  28 Nov 2023 2 repositories listed
  This paper introduces DyRA, a dynamic resolution adjustment network providing an image-specific scale factor for existing detectors.
• Style-Hallucinated Dual Consistency Learning for Domain Generalized Semantic Segmentation
  6 Apr 2022 2 repositories listed Syntology ran 2 of 2 samples · 0 unverified · 1 pointer-only (licence)
  Furthermore, we present a novel style hallucination module (SHM) to generate style-diversified samples that are essential to consistency learning.
• SimROD: A Simple Adaptation Method for Robust Object Detection
  28 Jul 2021 2 repositories listed
  This paper presents a Simple and effective unsupervised adaptation method for Robust Object Detection (SimROD).
• RobustNet: Improving Domain Generalization in Urban-Scene Segmentation via Instance Selective Whitening
  29 Mar 2021 2 repositories listed Syntology ran 2 of 2 samples · 0 unverified
  Enhancing the generalization capability of deep neural networks to unseen domains is crucial for safety-critical applications in the real world such as autonomous driving.
• TOG: Targeted Adversarial Objectness Gradient Attacks on Real-time Object Detection Systems
  9 Apr 2020 2 repositories listed
  The rapid growth of real-time huge data capturing has pushed the deep learning and data analytic computing to the edge systems.
• Delving into Robust Object Detection from Unmanned Aerial Vehicles: A Deep Nuisance Disentanglement Approach
  11 Aug 2019 2 repositories listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)
  Object detection from images captured by Unmanned Aerial Vehicles (UAVs) is becoming increasingly useful.
• Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability
  26 Jun 2025 1 repository listed
  We propose to tackle these problems by extracting intermediate features from a single-step diffusion process, improving feature collection and fusion to reduce inference time by 75% while enhancing performance on source…
• LLM-Empowered Embodied Agent for Memory-Augmented Task Planning in Household Robotics
  30 Apr 2025 1 repository listed Syntology ran 1 of 2 samples · 1 unverified · 2 pointer-only (licence)
  It employs three specialized agents: a routing agent, a task planning agent, and a knowledge base agent, each powered by task-specific LLMs.
• Generalized Diffusion Detector: Mining Robust Features from Diffusion Models for Domain-Generalized Detection
  3 Mar 2025 1 repository listed
  Domain generalization (DG) for object detection aims to enhance detectors' performance in unseen scenarios.
• PhysAug: A Physical-guided and Frequency-based Data Augmentation for Single-Domain Generalized Object Detection
  16 Dec 2024 1 repository listed
  Single-Domain Generalized Object Detection~(S-DGOD) aims to train on a single source domain for robust performance across a variety of unseen target domains by taking advantage of an object detector.
• RoboSense: Large-scale Dataset and Benchmark for Egocentric Robot Perception and Navigation in Crowded and Unstructured Environments
  28 Aug 2024 1 repository listed
  Reliable embodied perception from an egocentric perspective is challenging yet essential for autonomous navigation technology of intelligent mobile agents.
• SemanticSpray++: A Multimodal Dataset for Autonomous Driving in Wet Surface Conditions
  14 Jun 2024 1 repository listed
  To address this limitation, we propose the SemanticSpray++ dataset, which provides labels for camera, LiDAR, and radar data of highway-like scenarios in wet surface conditions.
• ConstScene: Dataset and Model for Advancing Robust Semantic Segmentation in Construction Environments
  27 Dec 2023 1 repository listed
  The increasing demand for autonomous machines in construction environments necessitates the development of robust object detection algorithms that can perform effectively across various weather and environmental…
• Object-Aware Domain Generalization for Object Detection
  19 Dec 2023 1 repository listed
  To address these problems, we propose an object-aware domain generalization (OA-DG) method for single-domain generalization in object detection.
• Strong but simple: A Baseline for Domain Generalized Dense Perception by CLIP-based Transfer Learning
  4 Dec 2023 1 repository listed
  Moreover, we confirm this observation for object detection on a novel synthetic-to-real benchmark.
• On the Robustness of Object Detection Models on Aerial Images
  29 Aug 2023 1 repository listed
  The benchmarks we propose and our comprehensive experimental analyses can facilitate research on robust object detection on aerial images.
• Improved Region Proposal Network for Enhanced Few-Shot Object Detection
  15 Aug 2023 1 repository listed
  Specifically, we develop a hierarchical ternary classification region proposal network (HTRPN) to localize the potential unlabeled novel objects and assign them new objectness labels to distinguish these objects from…
• COCO-O: A Benchmark for Object Detectors under Natural Distribution Shifts
  24 Jul 2023 1 repository listed
  To give a more comprehensive robustness assessment, we introduce COCO-O(ut-of-distribution), a test dataset based on COCO with 6 types of natural distribution shifts.
• On the Importance of Backbone to the Adversarial Robustness of Object Detectors
  27 May 2023 1 repository listed
  Through experiments, first, we found that existing works on improving the adversarial robustness of object detectors give a false sense of security.
• Mind the Backbone: Minimizing Backbone Distortion for Robust Object Detection
  26 Mar 2023 1 repository listed
  We propose to use Relative Gradient Norm (RGN) as a way to measure the vulnerability of a backbone to feature distortion, and show that high RGN is indeed correlated with lower OOD performance.

Syntology lines on 12 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.