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08/29/2023
AnomalyGPT: Detecting Industrial Anomalies using Large Vision-Language Models
Large Vision-Language Models (LVLMs) such as MiniGPT-4 and LLaVA have de...
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06/25/2023
FastBCSD: Fast and Efficient Neural Network for Binary Code Similarity Detection
Binary code similarity detection (BCSD) has various applications, includ...
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06/21/2023
Fast Segment Anything
The recently proposed segment anything model (SAM) has made a significan...
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04/10/2023
FreConv: Frequency Branch-and-Integration Convolutional Networks
Recent researches indicate that utilizing the frequency information of i...
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03/26/2023
ZBS: Zero-shot Background Subtraction via Instance-level Background Modeling and Foreground Selection
Background subtraction (BGS) aims to extract all moving objects in the v...
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02/28/2023
Efficient Masked Autoencoders with Self-Consistency
Inspired by masked language modeling (MLM) in natural language processin...
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02/25/2023
Temporal-Channel Topology Enhanced Network for Skeleton-Based Action Recognition
Skeleton-based action recognition has become popular in recent years due...
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12/02/2022
Masked Contrastive Pre-Training for Efficient Video-Text Retrieval
We present a simple yet effective end-to-end Video-language Pre-training...
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09/28/2022
Obj2Seq: Formatting Objects as Sequences with Class Prompt for Visual Tasks
Visual tasks vary a lot in their output formats and concerned contents, ...
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08/31/2022
Transfering Low-Frequency Features for Domain Adaptation
Previous unsupervised domain adaptation methods did not handle the cross...
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06/14/2022
Plug-and-Play Pseudo Label Correction Network for Unsupervised Person Re-identification
Clustering-based methods, which alternate between the generation of pseu...
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03/14/2022
UniVIP: A Unified Framework for Self-Supervised Visual Pre-training
Self-supervised learning (SSL) holds promise in leveraging large amounts...
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03/08/2022
Part-Aware Self-Supervised Pre-Training for Person Re-Identification
In person re-identification (ReID), very recent researches have validate...
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01/18/2022
Pruning-aware Sparse Regularization for Network Pruning
Structural neural network pruning aims to remove the redundant channels ...
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12/24/2021
Multi-initialization Optimization Network for Accurate 3D Human Pose and Shape Estimation
3D human pose and shape recovery from a monocular RGB image is a challen...
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07/30/2021
DPT: Deformable Patch-based Transformer for Visual Recognition
Transformer has achieved great success in computer vision, while how to ...
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07/01/2021
OPT: Omni-Perception Pre-Trainer for Cross-Modal Understanding and Generation
In this paper, we propose an Omni-perception Pre-Trainer (OPT) for cross...
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06/10/2021
MST: Masked Self-Supervised Transformer for Visual Representation
Transformer has been widely used for self-supervised pre-training in Nat...
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04/02/2021
AAformer: Auto-Aligned Transformer for Person Re-Identification
Transformer is showing its superiority over convolutional architectures ...
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04/02/2021
Adaptive Class Suppression Loss for Long-Tail Object Detection
To address the problem of long-tail distribution for the large vocabular...
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07/27/2020
Identity-Guided Human Semantic Parsing for Person Re-Identification
Existing alignment-based methods have to employ the pretrained human par...
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12/18/2019
Class Regularization: Improve Few-shot Image Classification by Reducing Meta Shift
Few-shot image classification requires the classifier to robustly cope w...
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03/26/2019
Semantic Alignment: Finding Semantically Consistent Ground-truth for Facial Landmark Detection
Recently, deep learning based facial landmark detection has achieved gre...
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12/18/2018
Recurrent Calibration Network for Irregular Text Recognition
Scene text recognition has received increased attention in the research ...
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06/17/2018
High-speed Tracking with Multi-kernel Correlation Filters
Correlation filter (CF) based trackers are currently ranked top in terms...
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06/17/2018
High Speed Kernelized Correlation Filters without Boundary Effect
Recently, correlation filter based trackers (CF trackers) have attracted...
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11/25/2017
On the Relations of Correlation Filter Based Trackers and Struck
In recent years, two types of trackers, namely correlation filter based ...
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09/13/2017
Reading Scene Text with Attention Convolutional Sequence Modeling
Reading text in the wild is a challenging task in the field of computer ...
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08/09/2017
CoupleNet: Coupling Global Structure with Local Parts for Object Detection
The region-based Convolutional Neural Network (CNN) detectors such as Fa...
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07/26/2017
Fast Deep Matting for Portrait Animation on Mobile Phone
Image matting plays an important role in image and video editing. Howeve...
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07/24/2017