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03/25/2021
Hierarchical Proxy-based Loss for Deep Metric Learning
Proxy-based metric learning losses are superior to pair-based losses due...
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05/17/2020
T-VSE: Transformer-Based Visual Semantic Embedding
Transformer models have recently achieved impressive performance on NLP ...
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11/18/2019
Large Scale Open-Set Deep Logo Detection
We present an open-set logo detection (OSLD) system, which can detect (l...
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11/14/2019
Semantic Granularity Metric Learning for Visual Search
Deep metric learning applied to various applications has shown promising...
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04/28/2018
Remote Detection of Idling Cars Using Infrared Imaging and Deep Networks
Idling vehicles waste energy and pollute the environment through exhaust...
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09/12/2016
Active Canny: Edge Detection and Recovery with Open Active Contour Models
We introduce an edge detection and recovery framework based on open acti...
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08/11/2016
Multi-View Product Image Search Using Deep ConvNets Representations
Multi-view product image queries can improve retrieval performance over ...
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07/31/2015