research
∙
07/24/2023
Less is More: Focus Attention for Efficient DETR
DETR-like models have significantly boosted the performance of detectors...
share
research
∙
12/29/2022
BiMLP: Compact Binary Architectures for Vision Multi-Layer Perceptrons
This paper studies the problem of designing compact binary architectures...
research
∙
08/17/2022
AdaBin: Improving Binary Neural Networks with Adaptive Binary Sets
This paper studies the Binary Neural Networks (BNNs) in which weights an...
research
∙
04/19/2022
Multimodal Token Fusion for Vision Transformers
Many adaptations of transformers have emerged to address the single-moda...
research
∙
03/28/2022
MaskGroup: Hierarchical Point Grouping and Masking for 3D Instance Segmentation
This paper studies the 3D instance segmentation problem, which has a var...
research
∙
12/27/2021
An Empirical Study of Adder Neural Networks for Object Detection
Adder neural networks (AdderNets) have shown impressive performance on i...
research
∙
08/30/2021
Hire-MLP: Vision MLP via Hierarchical Rearrangement
This paper presents Hire-MLP, a simple yet competitive vision MLP archit...
research
∙
05/12/2021
Winograd Algorithm for AdderNet
Adder neural network (AdderNet) is a new kind of deep model that replace...
research
∙
03/26/2021
Distilling Object Detectors via Decoupled Features
Knowledge distillation is a widely used paradigm for inheriting informat...
research
∙
12/23/2020
A Survey on Visual Transformer
Transformer is a type of deep neural network mainly based on self-attent...
research
∙
09/28/2020
Kernel Based Progressive Distillation for Adder Neural Networks
Adder Neural Networks (ANNs) which only contain additions bring us a new...
research
∙
07/16/2020
Multi-Task Pruning for Semantic Segmentation Networks
This paper focuses on channel pruning for semantic segmentation networks...
research
∙
07/10/2020
Optical Flow Distillation: Towards Efficient and Stable Video Style Transfer
Video style transfer techniques inspire many exciting applications on mo...
research
∙
05/29/2020
HourNAS: Extremely Fast Neural Architecture Search Through an Hourglass Lens
Neural Architecture Search (NAS) refers to automatically design the arch...
research
∙
03/26/2020
Hit-Detector: Hierarchical Trinity Architecture Search for Object Detection
Neural Architecture Search (NAS) has achieved great success in image cla...
research
∙
09/11/2019
CARS: Continuous Evolution for Efficient Neural Architecture Search
Searching techniques in most of existing neural architecture search (NAS...
research
∙
02/26/2019
Bi-stream Pose Guided Region Ensemble Network for Fingertip Localization from Stereo Images
In human-computer interaction, it is important to accurately estimate th...
research
∙
04/26/2018
Two-Stream Binocular Network: Accurate Near Field Finger Detection Based On Binocular Images
Fingertip detection plays an important role in human computer interactio...
research
∙
04/02/2018
Interactive Hand Pose Estimation: Boosting accuracy in localizing extended finger joints
Accurate 3D hand pose estimation plays an important role in Human Machin...
research
∙
12/11/2017
3D Hand Pose Estimation: From Current Achievements to Future Goals
In this paper, we strive to answer two questions: What is the current st...
research
∙
08/11/2017
Pose Guided Structured Region Ensemble Network for Cascaded Hand Pose Estimation
Hand pose estimation from a single depth image is an essential topic in ...
research
∙
08/10/2017
Motion Feature Augmented Recurrent Neural Network for Skeleton-based Dynamic Hand Gesture Recognition
Dynamic hand gesture recognition has attracted increasing interests beca...
research
∙
07/23/2017
Towards Good Practices for Deep 3D Hand Pose Estimation
3D hand pose estimation from single depth image is an important and chal...
research
∙
02/08/2017
Region Ensemble Network: Improving Convolutional Network for Hand Pose Estimation
Hand pose estimation from monocular depth images is an important and cha...
research
∙
12/23/2016