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03/15/2023
VVS: Video-to-Video Retrieval with Irrelevant Frame Suppression
In content-based video retrieval (CBVR), dealing with large-scale collec...
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12/08/2022
DialogCC: Large-Scale Multi-Modal Dialogue Dataset
As sharing images in an instant message is a crucial factor, there has b...
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12/08/2022
Group Generalized Mean Pooling for Vision Transformer
Vision Transformer (ViT) extracts the final representation from either c...
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10/05/2022
Granularity-aware Adaptation for Image Retrieval over Multiple Tasks
Strong image search models can be learned for a specific domain, ie. set...
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03/28/2022
Large-scale Bilingual Language-Image Contrastive Learning
This paper is a technical report to share our experience and findings bu...
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12/16/2021
Self-Distilled Hashing for Deep Image Retrieval
In hash-based image retrieval systems, the transformed input from the or...
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06/01/2021
Towards Real-time and Light-weight Line Segment Detection
Previous deep learning-based line segment detection (LSD) suffer from th...
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04/07/2021
RTIC: Residual Learning for Text and Image Composition using Graph Convolutional Network
In this paper, we study the compositional learning of images and texts f...
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03/31/2021
Learning with Memory-based Virtual Classes for Deep Metric Learning
The core of deep metric learning (DML) involves learning visual similari...
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03/29/2021
Proxy Synthesis: Learning with Synthetic Classes for Deep Metric Learning
One of the main purposes of deep metric learning is to construct an embe...
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05/26/2020
An Effective Pipeline for a Real-world Clothes Retrieval System
In this paper, we propose an effective pipeline for clothes retrieval sy...
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03/05/2020
Embedding Expansion: Augmentation in Embedding Space for Deep Metric Learning
Learning the distance metric between pairs of samples has been studied f...
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01/31/2020
Symmetrical Synthesis for Deep Metric Learning
Deep metric learning aims to learn embeddings that contain semantic simi...
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07/27/2019
A Benchmark on Tricks for Large-scale Image Retrieval
Many studies have been performed on metric learning, which has become a ...
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03/26/2019