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09/15/2023
Optimization of Rank Losses for Image Retrieval
In image retrieval, standard evaluation metrics rely on score ranking, a...
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09/04/2023
Towards Universal Image Embeddings: A Large-Scale Dataset and Challenge for Generic Image Representations
Fine-grained and instance-level recognition methods are commonly trained...
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08/14/2023
Global Features are All You Need for Image Retrieval and Reranking
Utilizing a two-stage paradigm comprising of coarse image retrieval and ...
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06/15/2023
Encyclopedic VQA: Visual questions about detailed properties of fine-grained categories
We propose Encyclopedic-VQA, a large scale visual question answering (VQ...
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06/15/2023
NAVI: Category-Agnostic Image Collections with High-Quality 3D Shape and Pose Annotations
Recent advances in neural reconstruction enable high-quality 3D object r...
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06/15/2023
Yes, we CANN: Constrained Approximate Nearest Neighbors for local feature-based visual localization
Large-scale visual localization systems continue to rely on 3D point clo...
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03/22/2023
LFM-3D: Learnable Feature Matching Across Wide Baselines Using 3D Signals
Finding localized correspondences across different images of the same ob...
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06/02/2022
Improving Fairness in Large-Scale Object Recognition by CrowdSourced Demographic Information
There has been increasing awareness of ethical issues in machine learnin...
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08/19/2021
Towards A Fairer Landmark Recognition Dataset
We introduce a new landmark recognition dataset, which is created with a...
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04/12/2021
Class-Balanced Distillation for Long-Tailed Visual Recognition
Real-world imagery is often characterized by a significant imbalance of ...
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04/03/2020
Google Landmarks Dataset v2 – A Large-Scale Benchmark for Instance-Level Recognition and Retrieval
While image retrieval and instance recognition techniques are progressin...
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01/14/2020
Unifying Deep Local and Global Features for Efficient Image Search
A key challenge in large-scale image retrieval problems is the trade-off...
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12/04/2018
Detect-to-Retrieve: Efficient Regional Aggregation for Image Search
Retrieving object instances among cluttered scenes efficiently requires ...
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11/14/2018
A localization approach for autonomous underwater vehicles: A ROS-Gazebo framework
Autonomous Underwater Vehicles (AUVs) have the ability to operate in har...
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04/10/2018
Recurrent Neural Networks for Person Re-identification Revisited
The task of person re-identification has recently received rising attent...
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12/19/2016