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Uncertainty for Identifying Open-Set Errors in Visual Object Detection
Deployed into an open world, object detectors are prone to a type of fal...
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Semi-supervised Keypoint Localization
Knowledge about the locations of keypoints of an object in an image can ...
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Run-Time Monitoring of Machine Learning for Robotic Perception: A Survey of Emerging Trends
As deep learning continues to dominate all state-of-the-art computer vis...
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Semantics for Robotic Mapping, Perception and Interaction: A Survey
For robots to navigate and interact more richly with the world around th...
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SWA Object Detection
Do you want to improve 1.0 AP for your object detector without any infer...
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Online Monitoring of Object Detection Performance Post-Deployment
Post-deployment, an object detector is expected to operate at a similar ...
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Performance Monitoring of Object Detection During Deployment
Performance monitoring of object detection is crucial for safety-critica...
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The Robotic Vision Scene Understanding Challenge
Being able to explore an environment and understand the location and typ...
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VarifocalNet: An IoU-aware Dense Object Detector
Accurately ranking a huge number of candidate detections is a key to the...
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Keypoint-Aligned Embeddings for Image Retrieval and Re-identification
Learning embeddings that are invariant to the pose of the object is cruc...
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BenchBot: Evaluating Robotics Research in Photorealistic 3D Simulation and on Real Robots
We introduce BenchBot, a novel software suite for benchmarking the perfo...
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Class Anchor Clustering: a Distance-based Loss for Training Open Set Classifiers
Existing open set classifiers distinguish between known and unknown inpu...
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Robot Navigation in Unseen Spaces using an Abstract Map
Human navigation in built environments depends on symbolic spatial infor...
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Predicting Target Feature Configuration of Non-stationary Objects for Grasping with Image-Based Visual Servoing
In this paper we consider the problem of the final approach stage of clo...
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Learning landmark guided embeddings for animal re-identification
Re-identification of individual animals in images can be ambiguous due t...
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What can robotics research learn from computer vision research?
The computer vision and robotics research communities are each strong. H...
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Close-Proximity Underwater Terrain Mapping Using Learning-based Coarse Range Estimation
This paper presents a novel approach to underwater terrain mapping for A...
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The Probabilistic Object Detection Challenge
We introduce a new challenge for computer and robotic vision, the first ...
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Did You Miss the Sign? A False Negative Alarm System for Traffic Sign Detectors
Object detection is an integral part of an autonomous vehicle for its sa...
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Robust Re-identification of Manta Rays from Natural Markings by Learning Pose Invariant Embeddings
Visual identification of individual animals that bear unique natural bod...
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Probability-based Detection Quality (PDQ): A Probabilistic Approach to Detection Evaluation
We propose a new visual object detector evaluation measure which not onl...
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Evaluating Merging Strategies for Sampling-based Uncertainty Techniques in Object Detection
There has been a recent emergence of sampling-based techniques for estim...
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An Overview of Perception Methods for Horticultural Robots: From Pollination to Harvest
Horticultural enterprises are becoming more sophisticated as the range o...
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Assisted Control for Semi-Autonomous Power Infrastructure Inspection using Aerial Vehicles
This paper presents the design and implementation of an assisted control...
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A Rapidly Deployable Classification System using Visual Data for the Application of Precision Weed Management
In this work we demonstrate a rapidly deployable weed classification sys...
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Dropout Sampling for Robust Object Detection in Open-Set Conditions
Dropout Variational Inference, or Dropout Sampling, has been recently pr...
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Episode-Based Active Learning with Bayesian Neural Networks
We investigate different strategies for active learning with Bayesian de...
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Towards Unsupervised Weed Scouting for Agricultural Robotics
Weed scouting is an important part of modern integrated weed management ...
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Peduncle Detection of Sweet Pepper for Autonomous Crop Harvesting - Combined Colour and 3D Information
This paper presents a 3D visual detection method for the challenging tas...
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On the Performance of ConvNet Features for Place Recognition
After the incredible success of deep learning in the computer vision dom...
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