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09/21/2023
TinyCLIP: CLIP Distillation via Affinity Mimicking and Weight Inheritance
In this paper, we propose a novel cross-modal distillation method, calle...
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09/12/2023
Exploring Non-additive Randomness on ViT against Query-Based Black-Box Attacks
Deep Neural Networks can be easily fooled by small and imperceptible per...
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09/10/2023
DeViT: Decomposing Vision Transformers for Collaborative Inference in Edge Devices
Recent years have witnessed the great success of vision transformer (ViT...
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09/07/2023
InstructDiffusion: A Generalist Modeling Interface for Vision Tasks
We present InstructDiffusion, a unifying and generic framework for align...
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08/21/2023
Federated Learning Robust to Byzantine Attacks: Achieving Zero Optimality Gap
In this paper, we propose a robust aggregation method for federated lear...
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08/18/2023
SimDA: Simple Diffusion Adapter for Efficient Video Generation
The recent wave of AI-generated content has witnessed the great developm...
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08/17/2023
Over-the-Air Computation Aided Federated Learning with the Aggregation of Normalized Gradient
Over-the-air computation is a communication-efficient solution for feder...
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08/17/2023
Joint Power Control and Data Size Selection for Over-the-Air Computation Aided Federated Learning
Federated learning (FL) has emerged as an appealing machine learning app...
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08/11/2023
Rethinking the Localization in Weakly Supervised Object Localization
Weakly supervised object localization (WSOL) is one of the most popular ...
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08/07/2023
Cross-Silo Prototypical Calibration for Federated Learning with Non-IID Data
Federated Learning aims to learn a global model on the server side that ...
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08/02/2023
ImageBrush: Learning Visual In-Context Instructions for Exemplar-Based Image Manipulation
While language-guided image manipulation has made remarkable progress, t...
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08/01/2023
LGViT: Dynamic Early Exiting for Accelerating Vision Transformer
Recently, the efficient deployment and acceleration of powerful vision t...
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07/25/2023
A Pairwise Dataset for GUI Conversion and Retrieval between Android Phones and Tablets
With the popularity of smartphones and tablets, users have become accust...
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07/24/2023
Automated Mapping of Adaptive App GUIs from Phones to TVs
With the increasing interconnection of smart devices, users often desire...
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07/23/2023
A First Look at On-device Models in iOS Apps
Powered by the rising popularity of deep learning techniques on smartpho...
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06/07/2023
StructuredMesh: 3D Structured Optimization of Façade Components on Photogrammetric Mesh Models using Binary Integer Programming
The lack of façade structures in photogrammetric mesh models renders the...
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05/25/2023
VanillaKD: Revisit the Power of Vanilla Knowledge Distillation from Small Scale to Large Scale
The tremendous success of large models trained on extensive datasets dem...
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05/23/2023
Improving Heterogeneous Model Reuse by Density Estimation
This paper studies multiparty learning, aiming to learn a model using th...
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05/11/2023
EfficientViT: Memory Efficient Vision Transformer with Cascaded Group Attention
Vision transformers have shown great success due to their high model cap...
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04/27/2023
SeqTrack: Sequence to Sequence Learning for Visual Object Tracking
In this paper, we present a new sequence-to-sequence learning framework ...
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04/14/2023
BCE-Net: Reliable Building Footprints Change Extraction based on Historical Map and Up-to-Date Images using Contrastive Learning
Automatic and periodic recompiling of building databases with up-to-date...
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04/12/2023
SuperpixelGraph: Semi-automatic generation of building footprint through semantic-sensitive superpixel and neural graph networks
Most urban applications necessitate building footprints in the form of c...
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03/30/2023
Semantic Image Translation for Repairing the Texture Defects of Building Models
The accurate representation of 3D building models in urban environments ...
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03/21/2023
Human Pose as Compositional Tokens
Human pose is typically represented by a coordinate vector of body joint...
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03/18/2023
Pseudo Supervised Metrics: Evaluating Unsupervised Image to Image Translation Models In Unsupervised Cross-Domain Classification Frameworks
The ability to classify images accurately and efficiently is dependent o...
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03/16/2023
Efficient Diffusion Training via Min-SNR Weighting Strategy
Denoising diffusion models have been a mainstream approach for image gen...
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03/15/2023
DeepMIM: Deep Supervision for Masked Image Modeling
Deep supervision, which involves extra supervisions to the intermediate ...
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03/07/2023
SGDA: Towards 3D Universal Pulmonary Nodule Detection via Slice Grouped Domain Attention
Lung cancer is the leading cause of cancer death worldwide. The best sol...
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02/24/2023
Subspace based Federated Unlearning
Federated learning (FL) enables multiple clients to train a machine lear...
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02/23/2023
Side Adapter Network for Open-Vocabulary Semantic Segmentation
This paper presents a new framework for open-vocabulary semantic segment...
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02/15/2023
FedABC: Targeting Fair Competition in Personalized Federated Learning
Federated learning aims to collaboratively train models without accessin...
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02/08/2023
Training-free Lexical Backdoor Attacks on Language Models
Large-scale language models have achieved tremendous success across vari...
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01/05/2023
All in Tokens: Unifying Output Space of Visual Tasks via Soft Token
Unlike language tasks, where the output space is usually limited to a se...
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01/03/2023
TinyMIM: An Empirical Study of Distilling MIM Pre-trained Models
Masked image modeling (MIM) performs strongly in pre-training large visi...
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12/18/2022
A Generalized Framework for Critical Heat Flux Detection Using Unsupervised Image-to-Image Translation
This work proposes a framework developed to generalize Critical Heat Flu...
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12/16/2022
Attentive Mask CLIP
Image token removal is an efficient augmentation strategy for reducing t...
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12/01/2022
ResFormer: Scaling ViTs with Multi-Resolution Training
Vision Transformers (ViTs) have achieved overwhelming success, yet they ...
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11/23/2022
SVFormer: Semi-supervised Video Transformer for Action Recognition
Semi-supervised action recognition is a challenging but critical task du...
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11/21/2022
Exploring Discrete Diffusion Models for Image Captioning
The image captioning task is typically realized by an auto-regressive me...
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11/03/2022
Could Giant Pretrained Image Models Extract Universal Representations?
Frozen pretrained models have become a viable alternative to the pretrai...
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09/20/2022
One-to-Many Semantic Communication Systems: Design, Implementation, Performance Evaluation
Semantic communication in the 6G era has been deemed a promising communi...
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09/07/2022
Not All Instances Contribute Equally: Instance-adaptive Class Representation Learning for Few-Shot Visual Recognition
Few-shot visual recognition refers to recognize novel visual concepts fr...
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07/27/2022
Leveraging GAN Priors for Few-Shot Part Segmentation
Few-shot part segmentation aims to separate different parts of an object...
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07/26/2022
Lifelong DP: Consistently Bounded Differential Privacy in Lifelong Machine Learning
In this paper, we show that the process of continually learning new task...
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06/09/2022
On Data Scaling in Masked Image Modeling
An important goal of self-supervised learning is to enable model pre-tra...
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05/27/2022
Contrastive Learning Rivals Masked Image Modeling in Fine-tuning via Feature Distillation
Masked image modeling (MIM) learns representations with remarkably good ...
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05/26/2022
Revealing the Dark Secrets of Masked Image Modeling
Masked image modeling (MIM) as pre-training is shown to be effective for...
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05/24/2022
Multi-Agent Collaborative Inference via DNN Decoupling: Intermediate Feature Compression and Edge Learning
Recently, deploying deep neural network (DNN) models via collaborative i...
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05/24/2022
CDFKD-MFS: Collaborative Data-free Knowledge Distillation via Multi-level Feature Sharing
Recently, the compression and deployment of powerful deep neural network...
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04/26/2022