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07/16/2023
Holistic Prototype Attention Network for Few-Shot VOS
Few-shot video object segmentation (FSVOS) aims to segment dynamic objec...
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05/09/2023
Multi-Granularity Denoising and Bidirectional Alignment for Weakly Supervised Semantic Segmentation
Weakly supervised semantic segmentation (WSSS) models relying on class a...
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04/23/2023
Semi-Supervised Semantic Segmentation With Region Relevance
Semi-supervised semantic segmentation aims to learn from a small amount ...
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04/08/2023
Co-attention Propagation Network for Zero-Shot Video Object Segmentation
Zero-shot video object segmentation (ZS-VOS) aims to segment foreground ...
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04/04/2023
Attention Map Guided Transformer Pruning for Edge Device
Due to its significant capability of modeling long-range dependencies, v...
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01/19/2023
FECANet: Boosting Few-Shot Semantic Segmentation with Feature-Enhanced Context-Aware Network
Few-shot semantic segmentation is the task of learning to locate each pi...
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07/18/2022
Hierarchical Feature Alignment Network for Unsupervised Video Object Segmentation
Optical flow is an easily conceived and precious cue for advancing unsup...
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06/20/2022
Saliency Guided Inter- and Intra-Class Relation Constraints for Weakly Supervised Semantic Segmentation
Weakly supervised semantic segmentation with only image-level labels aim...
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03/22/2022
Exploring Linear Feature Disentanglement For Neural Networks
Non-linear activation functions, e.g., Sigmoid, ReLU, and Tanh, have ach...
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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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03/26/2021
Non-Salient Region Object Mining for Weakly Supervised Semantic Segmentation
Semantic segmentation aims to classify every pixel of an input image. Co...
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03/24/2021
Jo-SRC: A Contrastive Approach for Combating Noisy Labels
Due to the memorization effect in Deep Neural Networks (DNNs), training ...
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02/22/2021
Semantically Meaningful Class Prototype Learning for One-Shot Image Semantic Segmentation
One-shot semantic image segmentation aims to segment the object regions ...
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01/23/2021
Exploiting Web Images for Fine-Grained Visual Recognition by Eliminating Noisy Samples and Utilizing Hard Ones
Labeling objects at a subordinate level typically requires expert knowle...
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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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12/01/2020
Field-wise Learning for Multi-field Categorical Data
We propose a new method for learning with multi-field categorical data. ...
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08/06/2020
Data-driven Meta-set Based Fine-Grained Visual Classification
Constructing fine-grained image datasets typically requires domain-speci...
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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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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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03/09/2020
Motion-Attentive Transition for Zero-Shot Video Object Segmentation
In this paper, we present a novel Motion-Attentive Transition Network (M...
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06/07/2019
Extracting Visual Knowledge from the Internet: Making Sense of Image Data
Recent successes in visual recognition can be primarily attributed to fe...
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05/27/2019
Dynamically Visual Disambiguation of Keyword-based Image Search
Due to the high cost of manual annotation, learning directly from the we...
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05/26/2019
Deep Representation Learning for Road Detection through Siamese Network
Robust road detection is a key challenge in safe autonomous driving. Rec...
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05/26/2019
Road Segmentation with Image-LiDAR Data Fusion
Robust road segmentation is a key challenge in self-driving research. Th...
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08/22/2017
Towards Automatic Construction of Diverse, High-quality Image Dataset
The availability of labeled image datasets has been shown critical for h...
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03/16/2017
Refining Image Categorization by Exploiting Web Images and General Corpus
Studies show that refining real-world categories into semantic subcatego...
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11/22/2016
