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09/04/2023
Parameter and Computation Efficient Transfer Learning for Vision-Language Pre-trained Models
With ever increasing parameters and computation, vision-language pre-tra...
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08/27/2023
Towards Unified Token Learning for Vision-Language Tracking
In this paper, we present a simple, flexible and effective vision-langua...
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08/22/2023
M3PS: End-to-End Multi-Grained Multi-Modal Attribute-Aware Product Summarization in E-commerce
Given the long textual product information and the product image, Multi-...
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08/21/2023
EALink: An Efficient and Accurate Pre-trained Framework for Issue-Commit Link Recovery
Issue-commit links, as a type of software traceability links, play a vit...
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08/20/2023
HODN: Disentangling Human-Object Feature for HOI Detection
The task of Human-Object Interaction (HOI) detection is to detect humans...
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08/11/2023
Continual Face Forgery Detection via Historical Distribution Preserving
Face forgery techniques have advanced rapidly and pose serious security ...
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08/06/2023
Beyond First Impressions: Integrating Joint Multi-modal Cues for Comprehensive 3D Representation
In recent years, 3D representation learning has turned to 2D vision-lang...
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08/04/2023
Improving Human-Object Interaction Detection via Virtual Image Learning
Human-Object Interaction (HOI) detection aims to understand the interact...
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07/31/2023
Towards General Visual-Linguistic Face Forgery Detection
Deepfakes are realistic face manipulations that can pose serious threats...
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06/30/2023
Systematic Investigation of Sparse Perturbed Sharpness-Aware Minimization Optimizer
Deep neural networks often suffer from poor generalization due to comple...
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06/27/2023
Approximated Prompt Tuning for Vision-Language Pre-trained Models
Prompt tuning is a parameter-efficient way to deploy large-scale pre-tra...
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06/23/2023
MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models
Multimodal Large Language Model (MLLM) relies on the powerful LLM to per...
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06/09/2023
Spatial Re-parameterization for N:M Sparsity
This paper presents a Spatial Re-parameterization (SpRe) method for the ...
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06/05/2023
STAR Loss: Reducing Semantic Ambiguity in Facial Landmark Detection
Recently, deep learning-based facial landmark detection has achieved sig...
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06/01/2023
Adapting Pre-trained Language Models to Vision-Language Tasks via Dynamic Visual Prompting
Pre-trained language models (PLMs) have played an increasing role in mul...
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05/29/2023
DiffRate : Differentiable Compression Rate for Efficient Vision Transformers
Token compression aims to speed up large-scale vision transformers (e.g....
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05/29/2023
CamoDiffusion: Camouflaged Object Detection via Conditional Diffusion Models
Camouflaged Object Detection (COD) is a challenging task in computer vis...
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05/28/2023
RefBERT: A Two-Stage Pre-trained Framework for Automatic Rename Refactoring
Refactoring is an indispensable practice of improving the quality and ma...
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05/24/2023
Cheap and Quick: Efficient Vision-Language Instruction Tuning for Large Language Models
Recently, growing interest has been aroused in extending the multimodal ...
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05/14/2023
MultiQuant: A Novel Multi-Branch Topology Method for Arbitrary Bit-width Network Quantization
Arbitrary bit-width network quantization has received significant attent...
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05/10/2023
Distribution-Flexible Subset Quantization for Post-Quantizing Super-Resolution Networks
This paper introduces Distribution-Flexible Subset Quantization (DFSQ), ...
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04/06/2023
InterFormer: Real-time Interactive Image Segmentation
Interactive image segmentation enables annotators to efficiently perform...
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03/29/2023
Latent Feature Relation Consistency for Adversarial Robustness
Deep neural networks have been applied in many computer vision tasks and...
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03/28/2023
X-Mesh: Towards Fast and Accurate Text-driven 3D Stylization via Dynamic Textual Guidance
Text-driven 3D stylization is a complex and crucial task in the fields o...
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03/27/2023
CAT:Collaborative Adversarial Training
Adversarial training can improve the robustness of neural networks. Prev...
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03/26/2023
You Only Segment Once: Towards Real-Time Panoptic Segmentation
In this paper, we propose YOSO, a real-time panoptic segmentation framew...
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03/20/2023
Attention Disturbance and Dual-Path Constraint Network for Occluded Person Re-Identification
Occluded person re-identification (Re-ID) aims to address the potential ...
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03/15/2023
Active Teacher for Semi-Supervised Object Detection
In this paper, we study teacher-student learning from the perspective of...
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02/22/2023
Towards End-to-end Semi-supervised Learning for One-stage Object Detection
Semi-supervised object detection (SSOD) is a research hot spot in comput...
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02/16/2023
Towards Efficient Visual Adaption via Structural Re-parameterization
Parameter-efficient transfer learning (PETL) is an emerging research spo...
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02/13/2023
Towards Local Visual Modeling for Image Captioning
In this paper, we study the local visual modeling with grid features for...
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02/13/2023
Bi-directional Masks for Efficient N:M Sparse Training
We focus on addressing the dense backward propagation issue for training...
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02/03/2023
Spectral Aware Softmax for Visible-Infrared Person Re-Identification
Visible-infrared person re-identification (VI-ReID) aims to match specif...
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02/02/2023
Exploring Invariant Representation for Visible-Infrared Person Re-Identification
Cross-spectral person re-identification, which aims to associate identit...
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01/29/2023
Unsupervised Domain Adaptation on Person Re-Identification via Dual-level Asymmetric Mutual Learning
Unsupervised domain adaptation person re-identification (Re-ID) aims to ...
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12/29/2022
Discriminator-Cooperated Feature Map Distillation for GAN Compression
Despite excellent performance in image generation, Generative Adversaria...
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12/26/2022
SMMix: Self-Motivated Image Mixing for Vision Transformers
CutMix is a vital augmentation strategy that determines the performance ...
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12/21/2022
Exploring Content Relationships for Distilling Efficient GANs
This paper proposes a content relationship distillation (CRD) to tackle ...
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12/08/2022
Shadow Removal by High-Quality Shadow Synthesis
Most shadow removal methods rely on the invasion of training images asso...
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12/06/2022
Self-supervised Graph Representation Learning for Black Market Account Detection
Nowadays, Multi-purpose Messaging Mobile App (MMMA) has become increasin...
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11/26/2022
Meta Architecure for Point Cloud Analysis
Recent advances in 3D point cloud analysis bring a diverse set of networ...
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11/12/2022
Exploiting the Partly Scratch-off Lottery Ticket for Quantization-Aware Training
Quantization-aware training (QAT) receives extensive popularity as it we...
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10/11/2022
Make Sharpness-Aware Minimization Stronger: A Sparsified Perturbation Approach
Deep neural networks often suffer from poor generalization caused by com...
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09/25/2022
ECO-TR: Efficient Correspondences Finding Via Coarse-to-Fine Refinement
Modeling sparse and dense image matching within a unified functional cor...
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09/08/2022
Exploring Target Representations for Masked Autoencoders
Masked autoencoders have become popular training paradigms for self-supe...
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08/27/2022
LAB-Net: LAB Color-Space Oriented Lightweight Network for Shadow Removal
This paper focuses on the limitations of current over-parameterized shad...
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08/21/2022
CycleTrans: Learning Neutral yet Discriminative Features for Visible-Infrared Person Re-Identification
Visible-infrared person re-identification (VI-ReID) is a task of matchin...
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07/19/2022
Cycle Encoding of a StyleGAN Encoder for Improved Reconstruction and Editability
GAN inversion aims to invert an input image into the latent space of a p...
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07/19/2022
Dynamic Prototype Mask for Occluded Person Re-Identification
Although person re-identification has achieved an impressive improvement...
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07/16/2022