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08/19/2023
DUAW: Data-free Universal Adversarial Watermark against Stable Diffusion Customization
Stable Diffusion (SD) customization approaches enable users to personali...
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04/12/2023
DynamicDet: A Unified Dynamic Architecture for Object Detection
Dynamic neural network is an emerging research topic in deep learning. W...
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03/23/2023
A Simple and Generic Framework for Feature Distillation via Channel-wise Transformation
Knowledge distillation is a popular technique for transferring the knowl...
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12/12/2022
BEV-MAE: Bird's Eye View Masked Autoencoders for Outdoor Point Cloud Pre-training
Current outdoor LiDAR-based 3D object detection methods mainly adopt the...
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11/16/2022
T-SEA: Transfer-based Self-Ensemble Attack on Object Detection
Compared to query-based black-box attacks, transfer-based black-box atta...
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10/24/2022
Foreground Guidance and Multi-Layer Feature Fusion for Unsupervised Object Discovery with Transformers
Unsupervised object discovery (UOD) has recently shown encouraging progr...
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08/18/2022
Differentiable Architecture Search with Random Features
Differentiable architecture search (DARTS) has significantly promoted th...
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05/30/2022
Benchmarking the Robustness of LiDAR-Camera Fusion for 3D Object Detection
There are two critical sensors for 3D perception in autonomous driving, ...
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05/27/2022
BEVFusion: A Simple and Robust LiDAR-Camera Fusion Framework
Fusing the camera and LiDAR information has become a de-facto standard f...
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04/06/2022
IterVM: Iterative Vision Modeling Module for Scene Text Recognition
Scene text recognition (STR) is a challenging problem due to the imperfe...
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03/13/2022
Training Protocol Matters: Towards Accurate Scene Text Recognition via Training Protocol Searching
The development of scene text recognition (STR) in the era of deep learn...
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07/05/2021
Continual Contrastive Self-supervised Learning for Image Classification
For artificial learning systems, continual learning over time from a str...
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07/01/2021
CBNetV2: A Composite Backbone Network Architecture for Object Detection
Consistent performance gains through exploring more effective network st...
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05/23/2021
CMUA-Watermark: A Cross-Model Universal Adversarial Watermark for Combating Deepfakes
Malicious application of deepfakes (i.e., technologies can generate targ...
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03/23/2021
RPATTACK: Refined Patch Attack on General Object Detectors
Nowadays, general object detectors like YOLO and Faster R-CNN as well as...
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03/08/2021
OPANAS: One-Shot Path Aggregation Network Architecture Search for Object Detection
Recently, neural architecture search (NAS) has been exploited to design ...
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09/15/2020
Learning a Single Model with a Wide Range of Quality Factors for JPEG Image Artifacts Removal
Lossy compression brings artifacts into the compressed image and degrade...
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03/08/2020
DADA: Differentiable Automatic Data Augmentation
Data augmentation (DA) techniques aim to increase data variability, and ...
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01/19/2020
MixTConv: Mixed Temporal Convolutional Kernels for Efficient Action Recogntion
To efficiently extract spatiotemporal features of video for action recog...
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12/20/2019
MFPN: A Novel Mixture Feature Pyramid Network of Multiple Architectures for Object Detection
Feature pyramids are widely exploited in many detectors to solve the sca...
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09/09/2019
CBNet: A Novel Composite Backbone Network Architecture for Object Detection
In existing CNN based detectors, the backbone network is a very importan...
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11/12/2018
M2Det: A Single-Shot Object Detector based on Multi-Level Feature Pyramid Network
Feature pyramids are widely exploited by both the state-of-the-art one-s...
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07/31/2018
Deep Dual Pyramid Network for Barcode Segmentation using Barcode-30k Database
Digital signs(such as barcode or QR code) are widely used in our daily l...
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06/26/2018
