research
∙
03/15/2023
HFGD: High-level Feature Guided Decoder for Semantic Segmentation
Commonly used backbones for semantic segmentation, such as ResNet and Sw...
share
research
∙
02/28/2023
DC-Former: Diverse and Compact Transformer for Person Re-Identification
In person re-identification (re-ID) task, it is still challenging to lea...
research
∙
12/18/2022
Minimizing Maximum Model Discrepancy for Transferable Black-box Targeted Attacks
In this work, we study the black-box targeted attack problem from the mo...
research
∙
11/19/2022
Monitoring the edges of product networks using distances
Foucaud et al. recently introduced and initiated the study of a new grap...
research
∙
10/03/2022
The perturbation bound of the extended vertical linear complementarity problem
In this paper, we discuss the perturbation analysis of the extended vert...
research
∙
09/29/2022
Motion and Appearance Adaptation for Cross-Domain Motion Transfer
Motion transfer aims to transfer the motion of a driving video to a sour...
research
∙
09/28/2022
Motion Transformer for Unsupervised Image Animation
Image animation aims to animate a source image by using motion learned f...
research
∙
07/25/2022
Revisiting AP Loss for Dense Object Detection: Adaptive Ranking Pair Selection
Average precision (AP) loss has recently shown promising performance on ...
research
∙
07/04/2022
Solutions for Fine-grained and Long-tailed Snake Species Recognition in SnakeCLEF 2022
Automatic snake species recognition is important because it has vast pot...
research
∙
06/01/2022
Cross-domain Detection Transformer based on Spatial-aware and Semantic-aware Token Alignment
Detection transformers like DETR have recently shown promising performan...
research
∙
05/11/2022
Revisiting Random Channel Pruning for Neural Network Compression
Channel (or 3D filter) pruning serves as an effective way to accelerate ...
research
∙
04/12/2022
Undoing the Damage of Label Shift for Cross-domain Semantic Segmentation
Existing works typically treat cross-domain semantic segmentation (CDSS)...
research
∙
04/11/2022
Structure-Aware Motion Transfer with Deformable Anchor Model
Given a source image and a driving video depicting the same object type,...
research
∙
04/10/2022
Learning Pixel-Level Distinctions for Video Highlight Detection
The goal of video highlight detection is to select the most attractive s...
research
∙
04/02/2022
Semantic-Aware Domain Generalized Segmentation
Deep models trained on source domain lack generalization when evaluated ...
research
∙
04/01/2022
Diverse Preference Augmentation with Multiple Domains for Cold-start Recommendations
Cold-start issues have been more and more challenging for providing accu...
research
∙
12/19/2021
Move As You Like: Image Animation in E-Commerce Scenario
Creative image animations are attractive in e-commerce applications, whe...
research
∙
12/09/2021
HBReID: Harder Batch for Re-identification
Triplet loss is a widely adopted loss function in ReID task which pulls ...
research
∙
07/30/2021
Sparse-to-dense Feature Matching: Intra and Inter domain Cross-modal Learning in Domain Adaptation for 3D Semantic Segmentation
Domain adaptation is critical for success when confronting with the lack...
research
∙
05/17/2021
Real-Time Video Super-Resolution on Smartphones with Deep Learning, Mobile AI 2021 Challenge: Report
Video super-resolution has recently become one of the most important mob...
research
∙
03/26/2021
VDM-DA: Virtual Domain Modeling for Source Data-free Domain Adaptation
Domain adaptation aims to leverage a label-rich domain (the source domai...
research
∙
12/15/2020
mDALU: Multi-Source Domain Adaptation and Label Unification with Partial Datasets
Object recognition advances very rapidly these days. One challenge is to...
research
∙
12/15/2020
Cluster, Split, Fuse, and Update: Meta-Learning for Open Compound Domain Adaptive Semantic Segmentation
Open compound domain adaptation (OCDA) is a domain adaptation setting, w...
research
∙
09/08/2020
Region Comparison Network for Interpretable Few-shot Image Classification
While deep learning has been successfully applied to many real-world com...
research
∙
07/17/2020
Off-Policy Reinforcement Learning for Efficient and Effective GAN Architecture Search
In this paper, we introduce a new reinforcement learning (RL) based neur...
research
∙
06/29/2020
The Heterogeneity Hypothesis: Finding Layer-Wise Dissimilated Network Architecture
In this paper, we tackle the problem of convolutional neural network des...
research
∙
06/28/2020
Analogical Image Translation for Fog Generation
Image-to-image translation is to map images from a given style to anothe...
research
∙
04/05/2020
Deeply Aligned Adaptation for Cross-domain Object Detection
Cross-domain object detection has recently attracted more and more atten...
research
∙
03/02/2020
Unbiased Mean Teacher for Cross Domain Object Detection
Cross domain object detection is challenging, because object detection m...
research
∙
02/20/2020
A Vision of C-V2X: Technologies, Field Testing and Challenges with Chinese Development
C-V2X (Cellular Vehicle-to-Everything) is the important enabling technol...
research
∙
01/16/2020
OralCam: Enabling Self-Examination and Awareness of Oral Health Using a Smartphone Camera
Due to a lack of medical resources or oral health awareness, oral diseas...
research
∙
01/16/2020
OralCam: Enabling Self-Examination and Awareness ofOral Health Using a Smartphone Camera
Due to a lack of medical resources or oral health awareness, oral diseas...
research
∙
05/20/2019
Semi-Supervised Learning by Augmented Distribution Alignment
In this work, we propose a simple yet effective semi-supervised learning...
research
∙
05/03/2019
Known-class Aware Self-ensemble for Open Set Domain Adaptation
Existing domain adaptation methods generally assume different domains ha...
research
∙
04/10/2019
Sliced Wasserstein Generative Models
In generative modeling, the Wasserstein distance (WD) has emerged as a u...
research
∙
12/13/2018
DLOW: Domain Flow for Adaptation and Generalization
In this work, we propose a domain flow generation(DLOW) approach to mode...
research
∙
12/12/2018
Learning Semantic Segmentation from Synthetic Data: A Geometrically Guided Input-Output Adaptation Approach
Recently, increasing attention has been drawn to training semantic segme...
research
∙
04/23/2018
Detecting Syntactic Features of Translated Chinese
We present a machine learning approach to distinguish texts translated t...
research
∙
04/06/2018
Ensemble Manifold Segmentation for Model Distillation and Semi-supervised Learning
Manifold theory has been the central concept of many learning methods. H...
research
∙
03/08/2018
Domain Adaptive Faster R-CNN for Object Detection in the Wild
Object detection typically assumes that training and test data are drawn...
research
∙
11/30/2017
ROAD: Reality Oriented Adaptation for Semantic Segmentation of Urban Scenes
Exploiting synthetic data to learn deep models has attracted increasing ...
research
∙
11/24/2017
Appearance-and-Relation Networks for Video Classification
Spatiotemporal feature learning in videos is a fundamental and difficult...
research
∙
08/09/2017
WebVision Database: Visual Learning and Understanding from Web Data
In this paper, we present a study on learning visual recognition models ...
research
∙
07/13/2017
Deep Domain Adaptation by Geodesic Distance Minimization
In this paper, we propose a new approach called Deep LogCORAL for unsupe...
research
∙
06/08/2017
Generative Autotransporters
In this paper, we aim to introduce the classic Optimal Transport theory ...
research
∙
05/16/2017
WebVision Challenge: Visual Learning and Understanding With Web Data
We present the 2017 WebVision Challenge, a public image recognition chal...
research
∙
07/12/2016