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06/01/2023
Intriguing Properties of Text-guided Diffusion Models
Text-guided diffusion models (TDMs) are widely applied but can fail unex...
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10/23/2022
Delving into Masked Autoencoders for Multi-Label Thorax Disease Classification
Vision Transformer (ViT) has become one of the most popular neural archi...
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10/05/2022
Making Your First Choice: To Address Cold Start Problem in Vision Active Learning
Active learning promises to improve annotation efficiency by iteratively...
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08/25/2022
Masked Autoencoders Enable Efficient Knowledge Distillers
This paper studies the potential of distilling knowledge from pre-traine...
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06/07/2022
Can CNNs Be More Robust Than Transformers?
The recent success of Vision Transformers is shaking the long dominance ...
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04/21/2022
Fast AdvProp
Adversarial Propagation (AdvProp) is an effective way to improve recogni...
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02/09/2022
Point-Level Region Contrast for Object Detection Pre-Training
In this work we present point-level region contrast, a self-supervised p...
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11/10/2021
Are Transformers More Robust Than CNNs?
Transformer emerges as a powerful tool for visual recognition. In additi...
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06/04/2021
Glance-and-Gaze Vision Transformer
Recently, there emerges a series of vision Transformers, which show supe...
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03/14/2021
TransFG: A Transformer Architecture for Fine-grained Recognition
Fine-grained visual classification (FGVC) which aims at recognizing obje...
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12/12/2020
Mask Guided Matting via Progressive Refinement Network
We propose Mask Guided (MG) Matting, a robust matting framework that tak...
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12/01/2020
Unsupervised Part Discovery via Feature Alignment
Understanding objects in terms of their individual parts is important, b...
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11/25/2020
Can Temporal Information Help with Contrastive Self-Supervised Learning?
Leveraging temporal information has been regarded as essential for devel...
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09/29/2020
CoKe: Localized Contrastive Learning for Robust Keypoint Detection
Today's most popular approaches to keypoint detection learn a holistic r...
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12/20/2019
C2FNAS: Coarse-to-Fine Neural Architecture Search for 3D Medical Image Segmentation
3D convolution neural networks (CNN) have been proved very successful in...
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01/03/2019
CLEVR-Ref+: Diagnosing Visual Reasoning with Referring Expressions
Referring object detection and referring image segmentation are importan...
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11/28/2018
