research
∙
09/15/2023
Salient Object Detection in Optical Remote Sensing Images Driven by Transformer
Existing methods for Salient Object Detection in Optical Remote Sensing ...
share
research
∙
09/13/2023
Transparent Object Tracking with Enhanced Fusion Module
Accurate tracking of transparent objects, such as glasses, plays a criti...
research
∙
07/19/2023
Divert More Attention to Vision-Language Object Tracking
Multimodal vision-language (VL) learning has noticeably pushed the tende...
research
∙
07/13/2023
Free-Form Composition Networks for Egocentric Action Recognition
Egocentric action recognition is gaining significant attention in the fi...
research
∙
04/04/2023
DIR-AS: Decoupling Individual Identification and Temporal Reasoning for Action Segmentation
Fully supervised action segmentation works on frame-wise action recognit...
research
∙
03/29/2023
CheckerPose: Progressive Dense Keypoint Localization for Object Pose Estimation with Graph Neural Network
Estimating the 6-DoF pose of a rigid object from a single RGB image is a...
research
∙
03/27/2023
Mask and Restore: Blind Backdoor Defense at Test Time with Masked Autoencoder
Deep neural networks are vulnerable to backdoor attacks, where an advers...
research
∙
03/21/2023
The Treasure Beneath Multiple Annotations: An Uncertainty-aware Edge Detector
Deep learning-based edge detectors heavily rely on pixel-wise labels whi...
research
∙
03/19/2023
CCTV-Gun: Benchmarking Handgun Detection in CCTV Images
Gun violence is a critical security problem, and it is imperative for th...
research
∙
03/17/2023
The Cascaded Forward Algorithm for Neural Network Training
Backpropagation algorithm has been widely used as a mainstream learning ...
research
∙
01/01/2023
Robust Domain Adaptive Object Detection with Unified Multi-Granularity Alignment
Domain adaptive detection aims to improve the generalization of detector...
research
∙
11/22/2022
Backdoor Cleansing with Unlabeled Data
Due to the increasing computational demand of Deep Neural Networks (DNNs...
research
∙
08/26/2022
Local Context-Aware Active Domain Adaptation
Active Domain Adaptation (ADA) queries the label of selected target samp...
research
∙
08/26/2022
Domain Adaptation with Adversarial Training on Penultimate Activations
Enhancing model prediction confidence on unlabeled target data is an imp...
research
∙
08/09/2022
Attention Hijacking in Trojan Transformers
Trojan attacks pose a severe threat to AI systems. Recent works on Trans...
research
∙
07/18/2022
Prior Knowledge Guided Unsupervised Domain Adaptation
The waive of labels in the target domain makes Unsupervised Domain Adapt...
research
∙
04/16/2022
Safe Self-Refinement for Transformer-based Domain Adaptation
Unsupervised Domain Adaptation (UDA) aims to leverage a label-rich sourc...
research
∙
04/14/2022
Unsupervised Deep Learning Meets Chan-Vese Model
The Chan-Vese (CV) model is a classic region-based method in image segme...
research
∙
03/25/2022
Adjacent Context Coordination Network for Salient Object Detection in Optical Remote Sensing Images
Salient object detection (SOD) in optical remote sensing images (RSIs), ...
research
∙
03/16/2022
EDTER: Edge Detection with Transformer
Convolutional neural networks have made significant progresses in edge d...
research
∙
02/21/2022
Self-Supervised Bulk Motion Artifact Removal in Optical Coherence Tomography Angiography
Optical coherence tomography angiography (OCTA) is an important imaging ...
research
∙
02/10/2022
Consistency and Diversity induced Human Motion Segmentation
Subspace clustering is a classical technique that has been widely used f...
research
∙
01/05/2022
Deep Probabilistic Graph Matching
Most previous learning-based graph matching algorithms solve the quadrat...
research
∙
12/02/2021
SwinTrack: A Simple and Strong Baseline for Transformer Tracking
Transformer has recently demonstrated clear potential in improving visua...
research
∙
12/02/2021
Multi-Content Complementation Network for Salient Object Detection in Optical Remote Sensing Images
In the computer vision community, great progresses have been achieved in...
research
∙
11/29/2021
Searching the Search Space of Vision Transformer
Vision Transformer has shown great visual representation power in substa...
research
∙
10/19/2021
Osteoporosis Prescreening using Panoramic Radiographs through a Deep Convolutional Neural Network with Attention Mechanism
Objectives. The aim of this study was to investigate whether a deep conv...
research
∙
10/04/2021
Deep Learning Approach Protecting Privacy in Camera-Based Critical Applications
Many critical applications rely on cameras to capture video footage for ...
research
∙
09/01/2021
Joint Graph Learning and Matching for Semantic Feature Correspondence
In recent years, powered by the learned discriminative representation vi...
research
∙
08/02/2021
RINDNet: Edge Detection for Discontinuity in Reflectance, Illumination, Normal and Depth
As a fundamental building block in computer vision, edges can be categor...
research
∙
07/19/2021
VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results
Crowd counting on the drone platform is an interesting topic in computer...
research
∙
07/01/2021
AutoFormer: Searching Transformers for Visual Recognition
Recently, pure transformer-based models have shown great potentials for ...
research
∙
07/01/2021
CBNetV2: A Composite Backbone Network Architecture for Object Detection
Consistent performance gains through exploring more effective network st...
research
∙
06/07/2021
Channel DropBlock: An Improved Regularization Method for Fine-Grained Visual Classification
Classifying the sub-categories of an object from the same super-category...
research
∙
05/28/2021
TransCamP: Graph Transformer for 6-DoF Camera Pose Estimation
Camera pose estimation or camera relocalization is the centerpiece in nu...
research
∙
04/01/2021
One-Shot Neural Ensemble Architecture Search by Diversity-Guided Search Space Shrinking
Despite remarkable progress achieved, most neural architecture search (N...
research
∙
04/01/2021
TransMOT: Spatial-Temporal Graph Transformer for Multiple Object Tracking
Tracking multiple objects in videos relies on modeling the spatial-tempo...
research
∙
03/08/2021
OPANAS: One-Shot Path Aggregation Network Architecture Search for Object Detection
Recently, neural architecture search (NAS) has been exploited to design ...
research
∙
02/09/2021
On the Robustness of Multi-View Rotation Averaging
Rotation averaging is a synchronization process on single or multiple ro...
research
∙
01/22/2021
Personal Fixations-Based Object Segmentation with Object Localization and Boundary Preservation
As a natural way for human-computer interaction, fixation provides a pro...
research
∙
12/22/2020
Modeling Deep Learning Based Privacy Attacks on Physical Mail
Mail privacy protection aims to prevent unauthorized access to hidden co...
research
∙
12/19/2020
Political Posters Identification with Appearance-Text Fusion
In this paper, we propose a method that efficiently utilizes appearance ...
research
∙
12/10/2020
SPAA: Stealthy Projector-based Adversarial Attacks on Deep Image Classifiers
Light-based adversarial attacks aim to fool deep learning-based image cl...
research
∙
11/25/2020
CRACT: Cascaded Regression-Align-Classification for Robust Visual Tracking
High quality object proposals are crucial in visual tracking algorithms ...
research
∙
11/24/2020
GMOT-40: A Benchmark for Generic Multiple Object Tracking
Multiple Object Tracking (MOT) has witnessed remarkable advances in rece...
research
∙
11/21/2020
Transparent Object Tracking Benchmark
Visual tracking has achieved considerable progress in recent years. Howe...
research
∙
11/02/2020
Pushing the Envelope of Rotation Averaging for Visual SLAM
As an essential part of structure from motion (SfM) and Simultaneous Loc...
research
∙
09/08/2020
LaSOT: A High-quality Large-scale Single Object Tracking Benchmark
Despite great recent advances in visual tracking, its further developmen...
research
∙
08/09/2020
Feature Space Augmentation for Long-Tailed Data
Real-world data often follow a long-tailed distribution as the frequency...
research
∙
07/30/2020