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09/17/2023
Active Learning for Semantic Segmentation with Multi-class Label Query
This paper proposes a new active learning method for semantic segmentati...
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09/16/2023
Universal Metric Learning with Parameter-Efficient Transfer Learning
A common practice in metric learning is to train and test an embedding m...
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08/29/2023
Shatter and Gather: Learning Referring Image Segmentation with Text Supervision
Referring image segmentation, the task of segmenting any arbitrary entit...
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08/02/2023
Exploiting Synthetic Data for Data Imbalance Problems: Baselines from a Data Perspective
We live in a vast ocean of data, and deep neural networks are no excepti...
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07/27/2023
PromptStyler: Prompt-driven Style Generation for Source-free Domain Generalization
In a joint vision-language space, a text feature (e.g., from "a photo of...
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03/29/2023
Adaptive Superpixel for Active Learning in Semantic Segmentation
Learning semantic segmentation requires pixel-wise annotations, which ca...
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03/27/2023
Human Pose Estimation in Extremely Low-Light Conditions
We study human pose estimation in extremely low-light images. This task ...
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12/29/2022
HIER: Metric Learning Beyond Class Labels via Hierarchical Regularization
Supervision for metric learning has long been given in the form of equiv...
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12/15/2022
Learning to Detect Semantic Boundaries with Image-level Class Labels
This paper presents the first attempt to learn semantic boundary detecti...
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11/30/2022
Improving Cross-Modal Retrieval with Set of Diverse Embeddings
Cross-modal retrieval across image and text modalities is a challenging ...
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11/25/2022
Cross-Domain Ensemble Distillation for Domain Generalization
Domain generalization is the task of learning models that generalize to ...
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11/14/2022
Few-shot Metric Learning: Online Adaptation of Embedding for Retrieval
Metric learning aims to build a distance metric typically by learning an...
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08/13/2022
Combating Label Distribution Shift for Active Domain Adaptation
We consider the problem of active domain adaptation (ADA) to unlabeled t...
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06/22/2022
Learning Debiased Classifier with Biased Committee
Neural networks are prone to be biased towards spurious correlations bet...
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05/04/2022
Self-Taught Metric Learning without Labels
We present a novel self-taught framework for unsupervised metric learnin...
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04/05/2022
Detector-Free Weakly Supervised Group Activity Recognition
Group activity recognition is the task of understanding the activity con...
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04/05/2022
Semi-supervised Semantic Segmentation with Error Localization Network
This paper studies semi-supervised learning of semantic segmentation, wh...
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04/04/2022
FIFO: Learning Fog-invariant Features for Foggy Scene Segmentation
Robust visual recognition under adverse weather conditions is of great i...
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03/31/2022
Reflection and Rotation Symmetry Detection via Equivariant Learning
The inherent challenge of detecting symmetries stems from arbitrary orie...
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03/31/2022
ReSTR: Convolution-free Referring Image Segmentation Using Transformers
Referring image segmentation is an advanced semantic segmentation task w...
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03/30/2022
Collaborative Transformers for Grounded Situation Recognition
Grounded situation recognition is the task of predicting the main activi...
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01/04/2022
Learning to Generate Novel Classes for Deep Metric Learning
Deep metric learning aims to learn an embedding space where the distance...
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11/19/2021
Grounded Situation Recognition with Transformers
Grounded Situation Recognition (GSR) is the task that not only classifie...
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11/02/2021
Relational Self-Attention: What's Missing in Attention for Video Understanding
Convolution has been arguably the most important feature transform for m...
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09/29/2021
WEDGE: Web-Image Assisted Domain Generalization for Semantic Segmentation
Domain generalization for semantic segmentation is highly demanded in re...
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08/10/2021
ASMR: Learning Attribute-Based Person Search with Adaptive Semantic Margin Regularizer
Attribute-based person search is the task of finding person images that ...
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07/05/2021
On The Distribution of Penultimate Activations of Classification Networks
This paper studies probability distributions of penultimate activations ...
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03/27/2021
Embedding Transfer with Label Relaxation for Improved Metric Learning
This paper presents a novel method for embedding transfer, a task of tra...
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02/14/2021
Learning Self-Similarity in Space and Time as Generalized Motion for Action Recognition
Spatio-temporal convolution often fails to learn motion dynamics in vide...
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07/20/2020
MotionSqueeze: Neural Motion Feature Learning for Video Understanding
Motion plays a crucial role in understanding videos and most state-of-th...
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07/17/2020
URIE: Universal Image Enhancement for Visual Recognition in the Wild
Despite the great advances in visual recognition, it has been witnessed ...
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03/31/2020
Proxy Anchor Loss for Deep Metric Learning
Existing metric learning losses can be categorized into two classes: pai...
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04/21/2019
Deep Metric Learning Beyond Binary Supervision
Metric Learning for visual similarity has mostly adopted binary supervis...
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04/15/2019
Universal Bounding Box Regression and Its Applications
Bounding-box regression is a popular technique to refine or predict loca...
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04/10/2019
Weakly Supervised Learning of Instance Segmentation with Inter-pixel Relations
This paper presents a novel approach for learning instance segmentation ...
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03/28/2018
Learning Pixel-level Semantic Affinity with Image-level Supervision for Weakly Supervised Semantic Segmentation
The deficiency of segmentation labels is one of the main obstacles to se...
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01/02/2017
Weakly Supervised Semantic Segmentation using Web-Crawled Videos
We propose a novel algorithm for weakly supervised semantic segmentation...
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02/24/2015
Online Tracking by Learning Discriminative Saliency Map with Convolutional Neural Network
We propose an online visual tracking algorithm by learning discriminativ...
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01/25/2015
