research
∙
09/04/2023
Semantic-Constraint Matching Transformer for Weakly Supervised Object Localization
Weakly supervised object localization (WSOL) strives to learn to localiz...
share
research
∙
08/30/2023
Occlusion-Aware Detection and Re-ID Calibrated Network for Multi-Object Tracking
Multi-Object Tracking (MOT) is a crucial computer vision task that aims ...
research
∙
08/26/2023
Improving Video Violence Recognition with Human Interaction Learning on 3D Skeleton Point Clouds
Deep learning has proved to be very effective in video action recognitio...
research
∙
08/20/2023
WMFormer++: Nested Transformer for Visible Watermark Removal via Implict Joint Learning
Watermarking serves as a widely adopted approach to safeguard media copy...
research
∙
09/30/2022
Dual Progressive Transformations for Weakly Supervised Semantic Segmentation
Weakly supervised semantic segmentation (WSSS), which aims to mine the o...
research
∙
03/09/2022
A Unified Transformer Framework for Group-based Segmentation: Co-Segmentation, Co-Saliency Detection and Video Salient Object Detection
Humans tend to mine objects by learning from a group of images or severa...
research
∙
08/29/2021
Calibrating Class Activation Maps for Long-Tailed Visual Recognition
Real-world visual recognition problems often exhibit long-tailed distrib...
research
∙
08/17/2021
MV-TON: Memory-based Video Virtual Try-on network
With the development of Generative Adversarial Network, image-based virt...
research
∙
03/02/2021
Context Decoupling Augmentation for Weakly Supervised Semantic Segmentation
Data augmentation is vital for deep learning neural networks. By providi...
research
∙
12/14/2020
StackRec: Efficient Training of Very Deep Sequential Recommender Models by Layer Stacking
Deep learning has brought great progress for the sequential recommendati...
research
∙
10/10/2020
Double Forward Propagation for Memorized Batch Normalization
Batch Normalization (BN) has been a standard component in designing deep...
research
∙
08/15/2020
Graph Edit Distance Reward: Learning to Edit Scene Graph
Scene Graph, as a vital tool to bridge the gap between language domain a...
research
∙
07/28/2020
Improving Generative Adversarial Networks with Local Coordinate Coding
Generative adversarial networks (GANs) have shown remarkable success in ...
research
∙
04/30/2020
COVID-DA: Deep Domain Adaptation from Typical Pneumonia to COVID-19
The outbreak of novel coronavirus disease 2019 (COVID-19) has already in...
research
∙
03/06/2020
Cost-Sensitive Portfolio Selection via Deep Reinforcement Learning
Portfolio Selection is an important real-world financial task and has at...
research
∙
11/18/2019
Online Adaptive Asymmetric Active Learning with Limited Budgets
Online Active Learning (OAL) aims to manage unlabeled datastream by sele...
research
∙
11/17/2019
Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis
Deep learning based medical image diagnosis has shown great potential in...
research
∙
07/25/2019
Attention Guided Network for Retinal Image Segmentation
Learning structural information is critical for producing an ideal resul...
research
∙
03/27/2019
Auto-Embedding Generative Adversarial Networks for High Resolution Image Synthesis
Generating images via the generative adversarial network (GAN) has attra...
research
∙
10/28/2018
Discrimination-aware Channel Pruning for Deep Neural Networks
Channel pruning is one of the predominant approaches for deep model comp...
research
∙
06/13/2018
Adversarial Learning with Local Coordinate Coding
Generative adversarial networks (GANs) aim to generate realistic data fr...
research
∙
11/06/2016