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09/18/2023
CLIP-based Synergistic Knowledge Transfer for Text-based Person Retrieval
Text-based Person Retrieval aims to retrieve the target person images gi...
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08/25/2023
MultiCapCLIP: Auto-Encoding Prompts for Zero-Shot Multilingual Visual Captioning
Supervised visual captioning models typically require a large scale of i...
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08/14/2023
MixBCT: Towards Self-Adapting Backward-Compatible Training
The exponential growth of data, alongside advancements in model structur...
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08/13/2023
Benign Shortcut for Debiasing: Fair Visual Recognition via Intervention with Shortcut Features
Machine learning models often learn to make predictions that rely on sen...
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07/21/2023
Strip-MLP: Efficient Token Interaction for Vision MLP
Token interaction operation is one of the core modules in MLP-based mode...
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07/15/2023
HQG-Net: Unpaired Medical Image Enhancement with High-Quality Guidance
Unpaired Medical Image Enhancement (UMIE) aims to transform a low-qualit...
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05/30/2023
ShuffleMix: Improving Representations via Channel-Wise Shuffle of Interpolated Hidden States
Mixup style data augmentation algorithms have been widely adopted in var...
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05/30/2023
Improving Deep Representation Learning via Auxiliary Learnable Target Coding
Deep representation learning is a subfield of machine learning that focu...
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05/18/2023
Manifold-Aware Self-Training for Unsupervised Domain Adaptation on Regressing 6D Object Pose
Domain gap between synthetic and real data in visual regression (6D pose...
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05/15/2023
CLIP-VG: Self-paced Curriculum Adapting of CLIP via Exploiting Pseudo-Language Labels for Visual Grounding
Visual Grounding (VG) refers to locating a region described by expressio...
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04/05/2023
Towards Efficient Task-Driven Model Reprogramming with Foundation Models
Vision foundation models exhibit impressive power, benefiting from the e...
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03/28/2023
KERM: Knowledge Enhanced Reasoning for Vision-and-Language Navigation
Vision-and-language navigation (VLN) is the task to enable an embodied a...
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03/25/2023
Reliability-Hierarchical Memory Network for Scribble-Supervised Video Object Segmentation
This paper aims to solve the video object segmentation (VOS) task in a s...
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03/11/2023
ZeroNLG: Aligning and Autoencoding Domains for Zero-Shot Multimodal and Multilingual Natural Language Generation
Natural Language Generation (NLG) accepts input data in the form of imag...
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03/01/2023
Backdoor for Debias: Mitigating Model Bias with Backdoor Attack-based Artificial Bias
With the swift advancement of deep learning, state-of-the-art algorithms...
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02/23/2023
Unsupervised Domain Adaptation via Distilled Discriminative Clustering
Unsupervised domain adaptation addresses the problem of classifying data...
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02/20/2023
Large-scale Multi-Modal Pre-trained Models: A Comprehensive Survey
With the urgent demand for generalized deep models, many pre-trained big...
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02/03/2023
DilateFormer: Multi-Scale Dilated Transformer for Visual Recognition
As a de facto solution, the vanilla Vision Transformers (ViTs) are encou...
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12/31/2022
Unlearnable Clusters: Towards Label-agnostic Unlearnable Examples
There is a growing interest in developing unlearnable examples (UEs) aga...
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12/19/2022
Million-scale Object Detection with Large Vision Model
Over the past few years, developing a broad, universal, and general-purp...
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11/29/2022
Isolation and Impartial Aggregation: A Paradigm of Incremental Learning without Interference
This paper focuses on the prevalent performance imbalance in the stages ...
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11/28/2022
SgVA-CLIP: Semantic-guided Visual Adapting of Vision-Language Models for Few-shot Image Classification
Although significant progress has been made in few-shot learning, most o...
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11/23/2022
Integrally Pre-Trained Transformer Pyramid Networks
In this paper, we present an integral pre-training framework based on ma...
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11/20/2022
Revisiting Color-Event based Tracking: A Unified Network, Dataset, and Metric
Combining the Color and Event cameras (also called Dynamic Vision Sensor...
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11/17/2022
HARDVS: Revisiting Human Activity Recognition with Dynamic Vision Sensors
The main streams of human activity recognition (HAR) algorithms are deve...
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09/29/2022
Spikformer: When Spiking Neural Network Meets Transformer
We consider two biologically plausible structures, the Spiking Neural Ne...
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09/07/2022
Semi-supervised Crowd Counting via Density Agency
In this paper, we propose a new agency-guided semi-supervised counting a...
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07/30/2022
DAS: Densely-Anchored Sampling for Deep Metric Learning
Deep Metric Learning (DML) serves to learn an embedding function to proj...
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06/17/2022
Entity-Graph Enhanced Cross-Modal Pretraining for Instance-level Product Retrieval
Our goal in this research is to study a more realistic environment in wh...
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05/26/2022
Prompt-based Learning for Unpaired Image Captioning
Unpaired Image Captioning (UIC) has been developed to learn image descri...
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04/17/2022
Global-Supervised Contrastive Loss and View-Aware-Based Post-Processing for Vehicle Re-Identification
In this paper, we propose a Global-Supervised Contrastive loss and a vie...
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03/30/2022
Fine-Grained Object Classification via Self-Supervised Pose Alignment
Semantic patterns of fine-grained objects are determined by subtle appea...
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03/21/2022
Boost Test-Time Performance with Closed-Loop Inference
Conventional deep models predict a test sample with a single forward pro...
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03/16/2022
Mixed-Precision Neural Network Quantization via Learned Layer-wise Importance
The exponentially large discrete search space in mixed-precision quantiz...
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03/11/2022
Peng Cheng Object Detection Benchmark for Smart City
Object detection is an algorithm that recognizes and locates the objects...
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03/07/2022
Unpaired Image Captioning by Image-level Weakly-Supervised Visual Concept Recognition
The goal of unpaired image captioning (UIC) is to describe images withou...
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03/05/2022
Boosting Crowd Counting via Multifaceted Attention
This paper focuses on the challenging crowd counting task. As large-scal...
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01/21/2022
Conceptor Learning for Class Activation Mapping
Class Activation Mapping (CAM) has been widely adopted to generate salie...
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12/17/2021
Towards End-to-End Image Compression and Analysis with Transformers
We propose an end-to-end image compression and analysis model with Trans...
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12/16/2021
Learning to Share in Multi-Agent Reinforcement Learning
In this paper, we study the problem of networked multi-agent reinforceme...
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12/16/2021
Frequency Spectrum Augmentation Consistency for Domain Adaptive Object Detection
Domain adaptive object detection (DAOD) aims to improve the generalizati...
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07/04/2021
Direct Measure Matching for Crowd Counting
Traditional crowd counting approaches usually use Gaussian assumption to...
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05/09/2021
Conformer: Local Features Coupling Global Representations for Visual Recognition
Within Convolutional Neural Network (CNN), the convolution operations ar...
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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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03/31/2021
Learning Scalable ℓ_∞-constrained Near-lossless Image Compression via Joint Lossy Image and Residual Compression
We propose a novel joint lossy image and residual compression framework ...
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03/08/2021
Contrastive Neural Architecture Search with Neural Architecture Comparators
One of the key steps in Neural Architecture Search (NAS) is to estimate ...
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05/12/2020
Compositional Few-Shot Recognition with Primitive Discovery and Enhancing
Few-shot learning (FSL) aims at recognizing novel classes given only few...
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10/05/2019
Transductive Episodic-Wise Adaptive Metric for Few-Shot Learning
Few-shot learning, which aims at extracting new concepts rapidly from ex...
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05/06/2019
P-ODN: Prototype based Open Deep Network for Open Set Recognition
Most of the existing recognition algorithms are proposed for closed set ...
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01/23/2019
