research
∙
05/18/2023
Boost Vision Transformer with GPU-Friendly Sparsity and Quantization
The transformer extends its success from the language to the vision doma...
share
research
∙
03/31/2023
What Makes for Effective Few-shot Point Cloud Classification?
Due to the emergence of powerful computing resources and large-scale ann...
research
∙
03/21/2023
Performance-aware Approximation of Global Channel Pruning for Multitask CNNs
Global channel pruning (GCP) aims to remove a subset of channels (filter...
research
∙
02/23/2023
A2S-NAS: Asymmetric Spectral-Spatial Neural Architecture Search For Hyperspectral Image Classification
Existing deep learning-based hyperspectral image (HSI) classification wo...
research
∙
02/20/2023
JNDMix: JND-Based Data Augmentation for No-reference Image Quality Assessment
Despite substantial progress in no-reference image quality assessment (N...
research
∙
01/17/2023
A Large-Scale Outdoor Multi-modal Dataset and Benchmark for Novel View Synthesis and Implicit Scene Reconstruction
Neural Radiance Fields (NeRF) has achieved impressive results in single ...
research
∙
11/15/2022
Instance-aware Model Ensemble With Distillation For Unsupervised Domain Adaptation
The linear ensemble based strategy, i.e., averaging ensemble, has been p...
research
∙
08/10/2022
Efficient Joint-Dimensional Search with Solution Space Regularization for Real-Time Semantic Segmentation
Semantic segmentation is a popular research topic in computer vision, an...
research
∙
07/02/2022
Learning Cross-Image Object Semantic Relation in Transformer for Few-Shot Fine-Grained Image Classification
Few-shot fine-grained learning aims to classify a query image into one o...
research
∙
03/03/2022
β-DARTS: Beta-Decay Regularization for Differentiable Architecture Search
Neural Architecture Search (NAS) has attracted increasingly more attenti...
research
∙
11/30/2021
Point Cloud Instance Segmentation with Semi-supervised Bounding-Box Mining
Point cloud instance segmentation has achieved huge progress with the em...
research
∙
08/30/2021
Densely Semantic Enhancement for Domain Adaptive Region-free Detectors
Unsupervised domain adaptive object detection aims to adapt a well-train...
research
∙
08/30/2021
Object-aware Long-short-range Spatial Alignment for Few-Shot Fine-Grained Image Classification
The goal of few-shot fine-grained image classification is to recognize r...
research
∙
03/16/2021
EADNet: Efficient Asymmetric Dilated Network for Semantic Segmentation
Due to real-time image semantic segmentation needs on power constrained ...
research
∙
09/01/2020
PIDNet: An Efficient Network for Dynamic Pedestrian Intrusion Detection
Vision-based dynamic pedestrian intrusion detection (PID), judging wheth...
research
∙
04/07/2020