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06/13/2023
AVIS: Autonomous Visual Information Seeking with Large Language Models
In this paper, we propose an autonomous information seeking visual quest...
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06/12/2023
Retrieval-Enhanced Contrastive Vision-Text Models
Contrastive image-text models such as CLIP form the building blocks of m...
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04/11/2023
Improving Image Recognition by Retrieving from Web-Scale Image-Text Data
Retrieval augmented models are becoming increasingly popular for compute...
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12/10/2022
REVEAL: Retrieval-Augmented Visual-Language Pre-Training with Multi-Source Multimodal Knowledge Memory
In this paper, we propose an end-to-end Retrieval-Augmented Visual Langu...
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10/10/2022
A Memory Transformer Network for Incremental Learning
We study class-incremental learning, a training setup in which new class...
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02/04/2022
Learning with Neighbor Consistency for Noisy Labels
Recent advances in deep learning have relied on large, labelled datasets...
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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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04/01/2020
Memory-Efficient Incremental Learning Through Feature Adaptation
In this work we introduce an approach for incremental learning, which pr...
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10/01/2019
Graph convolutional networks for learning with few clean and many noisy labels
In this work we consider the problem of learning a classifier from noisy...
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04/09/2019
Label Propagation for Deep Semi-supervised Learning
Semi-supervised learning is becoming increasingly important because it c...
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07/25/2018
Local Orthogonal-Group Testing
This work addresses approximate nearest neighbor search applied in the d...
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07/23/2018
Hybrid Diffusion: Spectral-Temporal Graph Filtering for Manifold Ranking
State of the art image retrieval performance is achieved with CNN featur...
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03/29/2018
Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking
In this paper we address issues with image retrieval benchmarking on sta...
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03/29/2018
Mining on Manifolds: Metric Learning without Labels
In this work we present a novel unsupervised framework for hard training...
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09/14/2017
Unsupervised deep object discovery for instance recognition
Severe background clutter is challenging in many computer vision tasks, ...
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03/20/2017
Fast Spectral Ranking for Similarity Search
Despite the success of deep learning on representing images for particul...
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11/16/2016
Efficient Diffusion on Region Manifolds: Recovering Small Objects with Compact CNN Representations
Query expansion is a popular method to improve the quality of image retr...
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12/10/2014
Memory vectors for similarity search in high-dimensional spaces
We study an indexing architecture to store and search in a database of h...
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10/29/2014
A comparison of dense region detectors for image search and fine-grained classification
We consider a pipeline for image classification or search based on codin...
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01/03/2014
ConceptVision: A Flexible Scene Classification Framework
We introduce ConceptVision, a method that aims for high accuracy in cate...
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01/03/2014
