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Found 26 papers, 8 papers with code
TRAttack”:" Text Rewriting Attack Against Text Retrieval
Text retrieval has been widely-used in many online applications to help users find relevant information from a text collection.
Lateral Control of Brain-Controlled Vehicle Based on SVM Probability Output Model
In this paper, by combining steady-state visual evoked potential (SSVEP) interactive interface, brain instructions generation module and vehicle lateral control module, a probabilistic output model based on support vector machine (SVM) is proposed for BCV lateral control to improve the driving performance.
RCoCo: Contrastive Collective Link Prediction across Multiplex Network in Riemannian Space
Annotating anchor users is laborious and expensive, and thus it is impractical to work with quantities of anchor users.
PRSA: Prompt Reverse Stealing Attacks against Large Language Models
In the mutation phase, we propose a prompt attention algorithm based on differential feedback to capture these critical features for effectively inferring the target prompts.
DRSM: efficient neural 4d decomposition for dynamic reconstruction in stationary monocular cameras
With the popularity of monocular videos generated by video sharing and live broadcasting applications, reconstructing and editing dynamic scenes in stationary monocular cameras has become a special but anticipated technology.
Contrastive Sequential Interaction Network Learning on Co-Evolving Riemannian Spaces
To address the aforementioned issues, we propose a novel Contrastive model for Sequential Interaction Network learning on Co-Evolving RiEmannian spaces, CSINCERE.
MIANet: Aggregating Unbiased Instance and General Information for Few-Shot Semantic Segmentation
Existing few-shot segmentation methods are based on the meta-learning strategy and extract instance knowledge from a support set and then apply the knowledge to segment target objects in a query set.
Ranked #11 on
Few-Shot Semantic Segmentation
on COCO-20i (1-shot)
Backdoor Defense via Adaptively Splitting Poisoned Dataset
With the split clean data pool and polluted data pool, ASD successfully defends against backdoor attacks during training.
Untargeted Backdoor Watermark: Towards Harmless and Stealthy Dataset Copyright Protection
In this paper, we revisit dataset ownership verification.
Automatic Generation of Product-Image Sequence in E-commerce
For a platform with billions of products, it is extremely time-costly and labor-expensive to manually pick and organize qualified images.
Learning Image Representations for Content Based Image Retrieval of Radiotherapy Treatment Plans
To address these limitations, we propose a content based image retrieval (CBIR) method for retrieving dose distributions of previously planned patients based on anatomical similarity.
Disappeared Command: Spoofing Attack On Automatic Speech Recognition Systems with Sound Masking
The development of deep learning technology has greatly promoted the performance improvement of automatic speech recognition (ASR) technology, which has demonstrated an ability comparable to human hearing in many tasks.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
Towards Practical Deployment-Stage Backdoor Attack on Deep Neural Networks
By our study, we call for more attention to the vulnerability of DNNs in the deployment stage.
PL-Net: Progressive Learning Network for Medical Image Segmentation
In recent years, segmentation methods based on deep convolutional neural networks (CNNs) have made state-of-the-art achievements for many medical analysis tasks.
Abnormal Occupancy Grid Map Recognition using Attention Network
The occupancy grid map is a critical component of autonomous positioning and navigation in the mobile robotic system, as many other systems' performance depends heavily on it.
FEANet: Feature-Enhanced Attention Network for RGB-Thermal Real-time Semantic Segmentation
To better extract detail spatial information, we propose a two-stage Feature-Enhanced Attention Network (FEANet) for the RGB-T semantic segmentation task.
Ranked #10 on
Semantic Segmentation
on FMB Dataset
Deep learning-based person re-identification methods: A survey and outlook of recent works
In recent years, with the increasing demand for public safety and the rapid development of intelligent surveillance networks, person re-identification (Re-ID) has become one of the hot research topics in the computer vision field.
Global-Local Dynamic Feature Alignment Network for Person Re-Identification
To solve these problems, we propose a simple and efficient Local Sliding Alignment (LSA) strategy to dynamically align the local features of two images by setting a sliding window on the local stripes of the pedestrian.
Subnet Replacement: Deployment-stage backdoor attack against deep neural networks in gray-box setting
We study the realistic potential of conducting backdoor attack against deep neural networks (DNNs) during deployment stage.
Liquefaction-induced Plasticity from Entropy-boosted Amorphous Ceramics
Ceramics are easy to break, and very few generic mechanisms are available for improving their mechanical properties, e. g., the 1975-discovered anti-fracture mechanism is strictly limited to zirconia and hafnia.
Materials Science
A multi-level approach with visual information for encrypted H.265/HEVC videos
High-efficiency video coding (HEVC) encryption has been proposed to encrypt syntax elements for the purpose of video encryption.
Region Proposal Network with Graph Prior and IoU-Balance Loss for Landmark Detection in 3D Ultrasound
The performance of the proposed framework is evaluated on a 3D US dataset to detect five key fetal facial landmarks.
Flow Guided Short-term Trackers with Cascade Detection for Long-term Tracking
Object tracking has been studied for decades, but most of the existing works are focused on the short-term tracking.
Transferable Adversarial Perturbations
We first show that maximizing distance between natural images and their adversarial examples in the intermediate feature maps can improve both white-box attacks (with knowledge of the model parameters) and black-box attacks.
Limits on Axion Couplings from the first 80-day data of PandaX-II Experiment
We report new searches for the solar axions and galactic axion-like dark matter particles, using the first low-background data from PandaX-II experiment at China Jinping Underground Laboratory, corresponding to a total exposure of about $2. 7\times 10^4$ kg$\cdot$day.
High Energy Physics - Experiment Solar and Stellar Astrophysics High Energy Physics - Phenomenology
Dark Matter Benchmark Models for Early LHC Run-2 Searches: Report of the ATLAS/CMS Dark Matter Forum
This document is the final report of the ATLAS-CMS Dark Matter Forum, a forum organized by the ATLAS and CMS collaborations with the participation of experts on theories of Dark Matter, to select a minimal basis set of dark matter simplified models that should support the design of the early LHC Run-2 searches.
High Energy Physics - Experiment High Energy Physics - Phenomenology
