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08/31/2023
ScrollNet: Dynamic Weight Importance for Continual Learning
The principle underlying most existing continual learning (CL) methods i...
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07/16/2023
Recognition of Mental Adjectives in An Efficient and Automatic Style
In recent years, commonsense reasoning has received more and more attent...
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07/05/2023
Formally Verifying a Real World Smart Contract
Nowadays, smart contracts have become increasingly popular and, as with ...
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03/24/2023
Where to Go Next for Recommender Systems? ID- vs. Modality-based Recommender Models Revisited
Recommendation models that utilize unique identities (IDs) to represent ...
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11/22/2022
Gated Class-Attention with Cascaded Feature Drift Compensation for Exemplar-free Continual Learning of Vision Transformers
In this paper we propose a new method for exemplar-free class incrementa...
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10/03/2022
Attention Distillation: self-supervised vision transformer students need more guidance
Self-supervised learning has been widely applied to train high-quality v...
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07/13/2022
SlimSeg: Slimmable Semantic Segmentation with Boundary Supervision
Accurate semantic segmentation models typically require significant comp...
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06/18/2022
Free-form Lesion Synthesis Using a Partial Convolution Generative Adversarial Network for Enhanced Deep Learning Liver Tumor Segmentation
Automatic deep learning segmentation models has been shown to improve bo...
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06/14/2022
Exploring evolution-based -free protein language models as protein function predictors
Large-scale Protein Language Models (PLMs) have improved performance in ...
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06/02/2022
Learning Unbiased Transferability for Domain Adaptation by Uncertainty Modeling
Domain adaptation (DA) aims to transfer knowledge learned from a labeled...
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05/13/2022
Slimmable Video Codec
Neural video compression has emerged as a novel paradigm combining train...
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05/11/2022
Towards Unified Prompt Tuning for Few-shot Text Classification
Prompt-based fine-tuning has boosted the performance of Pre-trained Lang...
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12/21/2021
Real-time Street Human Motion Capture
In recent years, motion capture technology using computers has developed...
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12/18/2021
An effective coaxiality error measurement for twist drill based on line structured light sensor
Since the structure of twist drill is complex, it is hard and challengin...
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11/25/2021
A Novel Framework for Image-to-image Translation and Image Compression
Data-driven paradigms using machine learning are becoming ubiquitous in ...
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10/28/2021
OneFlow: Redesign the Distributed Deep Learning Framework from Scratch
Deep learning frameworks such as TensorFlow and PyTorch provide a produc...
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10/12/2021
Continuous Conditional Random Field Convolution for Point Cloud Segmentation
Point cloud segmentation is the foundation of 3D environmental perceptio...
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09/13/2021
CPT: A Pre-Trained Unbalanced Transformer for Both Chinese Language Understanding and Generation
In this paper, we take the advantage of previous pre-trained models (PTM...
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08/19/2021
3D Shapes Local Geometry Codes Learning with SDF
A signed distance function (SDF) as the 3D shape description is one of t...
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04/19/2021
DANICE: Domain adaptation without forgetting in neural image compression
Neural image compression (NIC) is a new coding paradigm where coding cap...
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03/29/2021
Slimmable Compressive Autoencoders for Practical Neural Image Compression
Neural image compression leverages deep neural networks to outperform tr...
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03/27/2021
Representation, Analysis of Bayesian Refinement Approximation Network: A Survey
After an artificial model background subtraction, the pixels have been l...
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12/05/2020
Different Approaches Towards Vertical Track Irregularity Prediction – A Comparative Study
Railway systems require regular manual maintenance, a large part of whic...
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10/19/2020
Gaussian Constrained Attention Network for Scene Text Recognition
Scene text recognition has been a hot topic in computer vision. Recent m...
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07/27/2020
Two-Level Residual Distillation based Triple Network for Incremental Object Detection
Modern object detection methods based on convolutional neural network su...
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05/23/2020
Self-Training for Domain Adaptive Scene Text Detection
Though deep learning based scene text detection has achieved great progr...
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12/11/2019
Variable Rate Deep Image Compression with Modulated Autoencoder
Variable rate is a requirement for flexible and adaptable image and vide...
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07/16/2019
Efficient Segmentation: Learning Downsampling Near Semantic Boundaries
Many automated processes such as auto-piloting rely on a good semantic s...
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05/06/2019
Sparse data interpolation using the geodesic distance affinity space
In this paper, we adapt the geodesic distance-based recursive filter to ...
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11/06/2018
In-the-wild Facial Expression Recognition in Extreme Poses
In the computer research area, facial expression recognition is a hot re...
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06/25/2018
EAST Real-Time VOD System Based on MDSplus
As with EAST (Experimental Advanced Superconducting Tokamak) experimenta...
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05/24/2018
Jointly Optimize Data Augmentation and Network Training: Adversarial Data Augmentation in Human Pose Estimation
Random data augmentation is a critical technique to avoid overfitting in...
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01/19/2018
Quality Classified Image Analysis with Application to Face Detection and Recognition
Motion blur, out of focus, insufficient spatial resolution, lossy compre...
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07/02/2014
Deep Poselets for Human Detection
We address the problem of detecting people in natural scenes using a par...
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11/06/2013
Face Recognition via Globality-Locality Preserving Projections
We present an improved Locality Preserving Projections (LPP) method, nam...
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02/24/2012