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07/19/2023
Watch out Venomous Snake Species: A Solution to SnakeCLEF2023
The SnakeCLEF2023 competition aims to the development of advanced algori...
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03/21/2023
Equiangular Basis Vectors
We propose Equiangular Basis Vectors (EBVs) for classification tasks. In...
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02/07/2023
Delving Deep into Simplicity Bias for Long-Tailed Image Recognition
Simplicity Bias (SB) is a phenomenon that deep neural networks tend to r...
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09/28/2022
SEMICON: A Learning-to-hash Solution for Large-scale Fine-grained Image Retrieval
In this paper, we propose Suppression-Enhancing Mask based attention and...
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09/28/2022
An Embarrassingly Simple Approach to Semi-Supervised Few-Shot Learning
Semi-supervised few-shot learning consists in training a classifier to a...
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01/08/2022
Relieving Long-tailed Instance Segmentation via Pairwise Class Balance
Long-tailed instance segmentation is a challenging task due to the extre...
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11/11/2021
Fine-Grained Image Analysis with Deep Learning: A Survey
Fine-grained image analysis (FGIA) is a longstanding and fundamental pro...
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08/05/2021
Webly Supervised Fine-Grained Recognition: Benchmark Datasets and An Approach
Learning from the web can ease the extreme dependence of deep learning o...
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06/15/2021
Contextualizing Multiple Tasks via Learning to Decompose
One single instance could possess multiple portraits and reveal diverse ...
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03/28/2021
Distilling Virtual Examples for Long-tailed Recognition
In this paper, we tackle the long-tailed visual recognition problem from...
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12/29/2020
Tips and Tricks for Webly-Supervised Fine-Grained Recognition: Learning from the WebFG 2020 Challenge
WebFG 2020 is an international challenge hosted by Nanjing University of...
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08/06/2020
Salvage Reusable Samples from Noisy Data for Robust Learning
Due to the existence of label noise in web images and the high memorizat...
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08/04/2020
ExchNet: A Unified Hashing Network for Large-Scale Fine-Grained Image Retrieval
Retrieving content relevant images from a large-scale fine-grained datas...
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08/04/2020
Hierarchical Context Embedding for Region-based Object Detection
State-of-the-art two-stage object detectors apply a classifier to a spar...
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06/24/2020
Learning Semantically Enhanced Feature for Fine-Grained Image Classification
We target at providing a computational cheap yet effective approach for ...
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05/02/2020
PyRetri: A PyTorch-based Library for Unsupervised Image Retrieval by Deep Convolutional Neural Networks
Despite significant progress of applying deep learning methods to the fi...
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03/20/2020
Exploring Categorical Regularization for Domain Adaptive Object Detection
In this paper, we tackle the domain adaptive object detection problem, w...
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12/05/2019
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition
Our work focuses on tackling the challenging but natural visual recognit...
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07/06/2019
Deep Learning for Fine-Grained Image Analysis: A Survey
Computer vision (CV) is the process of using machines to understand and ...
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04/07/2019
Multi-Label Image Recognition with Graph Convolutional Networks
The task of multi-label image recognition is to predict a set of object ...
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01/22/2019
RPC: A Large-Scale Retail Product Checkout Dataset
Over recent years, emerging interest has occurred in integrating compute...
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12/11/2018
Coarse-to-fine: A RNN-based hierarchical attention model for vehicle re-identification
Vehicle re-identification is an important problem and becomes desirable ...
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05/11/2018
Piecewise classifier mappings: Learning fine-grained learners for novel categories with few examples
Humans are capable of learning a new fine-grained concept with very litt...
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11/01/2017
Adversarial Learning of Structure-Aware Fully Convolutional Networks for Landmark Localization
Landmark/pose estimation in single monocular images have received much e...
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07/20/2017
Unsupervised Object Discovery and Co-Localization by Deep Descriptor Transforming
Reusable model design becomes desirable with the rapid expansion of comp...
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05/08/2017
Deep Descriptor Transforming for Image Co-Localization
Reusable model design becomes desirable with the rapid expansion of mach...
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05/23/2016
Mask-CNN: Localizing Parts and Selecting Descriptors for Fine-Grained Image Recognition
Fine-grained image recognition is a challenging computer vision problem,...
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04/18/2016
Selective Convolutional Descriptor Aggregation for Fine-Grained Image Retrieval
Deep convolutional neural network models pre-trained for the ImageNet cl...
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04/21/2015
Deep Spatial Pyramid: The Devil is Once Again in the Details
In this paper we show that by carefully making good choices for various ...
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04/20/2015
